Tremendous is the global platform built for businesses to send thousands of payouts to anyone, anywhere, for free. We’re trusted by 20,000 organizations like Atlassian, MIT, and United Way to...

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState....

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState....

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

.

Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

.

See yourself at Twilio

Join the team as Twilio’s next Product Data Analyst (L3)

About the job

This position is needed to help uncover and deliver product data, analysis, and insights that empower stakeholders at all levels to maximize the impact of data in decision making. Our team is expanding to provide meaningful, data-backed insights from which to develop and grow our industry leading communications products.You will own analytics workstreams end to end from ambiguous problem statements to deliver insights in a fast moving environment.

Responsibilities

In this role, you’ll:

• End-to-End Analytics: Own complex projects from scoping ambiguous problems to delivering actionable, data-driven insights.
• Product Strategy: Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning.
• Technical Execution: Apply SQL and visualization tools (Looker, Tableau) to translate complex data into clear stakeholder recommendations.
• Data Standardisation: Maintain and document metrics, datasets, and models using Confluence and Datahub to ensure a single source of truth.
• Project Management: Balance multiple concurrent initiatives with clear prioritization and proactive status updates.
• Quality Assurance: Maintain rigorous data quality standards through robust validation and transparent quality control.
• AI-Driven Efficiency: Integrate modern AI tools into daily workflows to speed up SQL coding, analysis, and documentation.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Professional Experience: 4+ years of experience in quantitative analysis, business intelligence, or data analytics, with a proven track record of converting complex, ambiguous data into actionable business results.
• Core Technical Skills: 4+ years of hands-on experience writing, optimizing, and performing quality assurance (QA) in SQL or relational database languages on a regular basis.
• Data Visualization: Proficiency with modern BI tools, with a strong preference for Tableau and Looker (LookML).
• Structured Problem Solving: Strong analytical mindset with the ability to decompose vague problem statements into clear, executable data strategies.
• End-to-End Ownership: Demonstrated ability to independently manage deliverables from initial requirement gathering through to stakeholder delivery with minimal guidance.
• Project Delivery: Exceptional organizational skills with a track record of juggling multiple competing priorities and driving tasks to completion with reliable follow-through.
• Communication & Stakeholder influence: Strong written and verbal communication skills with the ability to translate analytics insights into clear narratives and action items that influence stakeholder decisions

Desired:

• AI & Innovation: Experience leveraging LLMs/AI tools to accelerate analytics workflows, combined with a strong curiosity to continuously upskill as technology evolves.
• Data Engineering & Infrastructure: Familiarity with data warehousing concepts, ETL processes, and distributed computing frameworks such as AWS Glue, Spark, DBT, Athena.
• Advanced Analytics: Proficiency in Python (Pandas, NumPy, Scikit-Learn) or R for statistical modeling, regression analysis, hypothesis testing, and causal inference.

Location

This role will be remote, and based in India (only in Karnataka, Tamil nadu, Maharashtra, Telangana, Delhi)

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

.

Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

.

Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

.

See yourself at Twilio

Join the team as Twilio’s next Business Intelligence Analyst.

About the job

This position is needed to provide actionable insights into strategic operations initiatives through the application of your expertise in quantitative analysis, technical systems, and leadership in analytics.

Twilio’s Customer Experience Ops Customer Intelligence team is looking for a curious and action-oriented analyst with a passion for using data to influence decision making and deliver product insights. The ideal candidate is comfortable navigating complex problems, determining the right data to focus on and is able to derive insights and recommendations based on disparate data. This role interacts with stakeholders at all levels throughout the organization and helps inform product, compliance, and delivery strategy.

Responsibilities

In this role, you’ll:

• Work with technical program managers to inject data into decision making and planning to increase confidence in strategic business outcomes via defining OKRs, designing and building insight generating reports and dashboards, and partnering cross functionally to source and process product data.
• Leverage SQL programming skills and data visualization tools to communicate product insights and recommendations to stakeholders at all levels. Standardize, maintain, and document metrics, models, datasets, and dashboards leveraging tools such as Tableau, Confluence, Acryl, and code.
• Source, identify, and leverage data and insights for time-critical and strategic decision making.
• Partner with leaders to successfully roll out and enable the adoption of dashboards and metrics.
• Work closely with product leadership to monitor and improve product performance while collaborating with business leaders to drive exceptional product offerings. Measure and analyze product value and value proposition through metrics.
• Collaborate with data producers and consumers during the product development lifecycle to ensure consistent data quality and availability for reporting post launch.
• Own and foster stakeholder partnerships by acting as a trusted advisor.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 3-5 years of professional experience performing quantitative analysis, building dashboards and reports, working with business partners to convert ambiguous, messy data into tangible and actionable results that influence product and business impacting decisions in a fast paced industry.
• Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an often ambiguous environment.
• Excellent verbal and written communication skills.
• Proficient level experience writing, developing, and performing data deep dives and writing complex queries in SQL and SQL-like relational data languages
• Minimum 2 years Tableau experience developing and managing dashboards is required.
• Demonstrated ability in building reports, metrics, dashboards, etc. for analytics projects that often require data preparation processes such as data extraction, cleansing, mapping, loading and operationalizing workflows in production.

Desired:

• Familiarity or hands-on experience utilizing Generative AI tools (e.g., Gemini, GitHub Copilot, ChatGPT) to optimize SQL query writing, data analysis workflows, and documentation is a plus.
• Experience in telephony, email, messaging, social media, or other electronic communications is a plus.
• Experience or familiarity with data warehousing and/or ETL processes, and distributed computing technologies (Hive/Presto/Spark/Zeppelin) is a plus.
• Experience in BI reporting tools like Looker is a plus.
• Experience with unstructured data is a plus.

Location

This role will be Remote, and based in Colombia

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

.

Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

About the role: What’s in the Box

As Staff Marketing Analyst (all genders) you will serve as the primary strategic architect for the Global Reactivations function, moving beyond tactical execution to own the technical roadmap and measurement frameworks that drive high-level business strategy. You will bridge the gap between complex data ecosystems and executive decision-making, acting as a force who scales the impact of the entire analytics domain. Your expertise in CRM Analytics, combined with a knack for storytelling through data, will directly influence the ability to reduce churn impact and optimize our channels along with marketing spend.

What you’ll do: The Recipe

• Partner with Marketing and Growth leadership to define KPI trees and measurement frameworks that align global reactivation efforts with long-term business goals.
• Architect advanced analytics solutions using BigQuery, GA4, and behavioral datasets to uncover deep insights into churn patterns and lifecycle optimization.
• Design and analyze rigorous A/B tests and incremental lift studies to ensure global marketing strategies are rooted in statistical truth and clear ROI.
• Lead the integration of AI and automation tools to build scalable, self-service reporting assets that democratize data access across the organization.
• Develop automated reporting and dashboards that democratize data access and enable self-service analytics.
• Advocate for technical excellence by standardizing data schemas and mentoring junior analysts in SQL/Python best practices and peer review.
• Translate complex statistical concepts into persuasive, executive-level narratives that influence strategic decision-making and global budget allocations.
• Work with wider teams to analyse and provide recommendations based on customer lifecycle data.

What you’ll bring: T he Ingredients

• 7+ years of experience in Customer/Marketing Analytics, including customer retention metrics, A/B testing, and analytics in fast-paced B2C or subscription-based businesses.
• Advanced SQL & BigQuery expertise, including complex query writing, optimization, data modeling, and analysis of large-scale datasets.
• Strong Python and Excel skills for data analysis, automation, and reporting (e.g., pandas, numpy, advanced formulas, pivot tables, dashboards) and ideally familarity with AI tools like ChatGPT, Claude, Copilot, etc.
• Proficiency in data visualization tools such as Tableau, Looker, or Google Data Studio, with experience presenting clear, actionable insights
• Solid statistical and analytical capabilities, including regression, clustering, time series analysis, and the ability to turn ambiguous problems into structured, results-driven recommendations.
• Collaborative, business-focused mindset and enthusiasm for solving customer engagement and retention challenges through data.
• Ability to independently scope, prioritize, and deliver impactful solutions while balancing analytical rigor with speed.
• Strong communication skills, with the ability to clearly explain technical concepts to executives, defend data-driven recommendations, mentor and support others.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

Elevate your lifestyle! Join one of Europe’s fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we’ve got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24⁄7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it’s a lifestyle of perks and possibilities!

Are you the missing ingredient?

If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

#JD1002

Senior/Staff Machine Learning Data Scientist In Brief We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to...

About the role: What’s in the Box

As Senior Manager Global Price & Discount Strategy (all genders) you will be part of the Global Price & Discount Strategy Team, shaping pricing and discount strategy across our full global portfolio which includes our core brand, HelloFresh, as well as: Factor, GreenChef, EveryPlate, Chef’s Plate, and Youfoodz. You will own the strategy and execution of our global roadmap for active customer & referral incentives, partnering closely with local market leadership, tech, marketing, and more which makes this a unique opportunity to combine analytical depth, strategic thinking, and cross-functional execution.

Please note that this position is a 24-month fixed-term contract (with the aim of converting it to a permanent position afterwards).

What you’ll do: The Recipe

• Global Referral Strategy: Own the conceptualization, execution, and optimization of our global referral incentive strategy, ensuring alignment with overall business goals and market conditions and translating strategy into tangible action.
• Loyalty Program & Retention Economics: Lead incentive strategy and impact modeling to drive performance of our emerging loyalty program and churn prevention initiatives.
• Advanced Testing & Analysis: Own the full AB testing lifecycle from hypothesis generation and test setup to execution and post-test analysis to constantly refine our incentive models.
• Data-Driven Optimization: Identify opportunities to improve current global strategies through deep-dive analysis, increasing customer lifetime value while balancing top and bottom-line growth.
• Stakeholder Engagement: Partner with and influence senior leadership and global teams (e.g., Lifecycle Marketing, Product, Analytics) in setting strategy roadmaps and sharing recommendations that drive impactful decision-making.
• Playbook Development: Establish and refine best practices and playbooks to ensure a consistent, scalable approach to pricing and discount initiatives across all markets.

What you’ll bring: The Ingredients

• Master’s degree in Business/Management, Business Analytics, Economics or any related field.
• 4-6 years of professional experience in pricing strategy, consulting, analytics, or a subscription-based business model.
• Strong analytical skills and advanced command of Excel with the ability to translate complex data into actionable insights, additional SQL-knowledge is a plus.
• Extensive experience devising and measuring the effectiveness of discount strategies (including AB testing), with a proven track record from other data-rich business environments.
• Outstanding written and verbal communication skills including the ability to lead effective meetings and presentations with senior management.
• Track record of end-to-end project ownership in a fast-paced environment.
• Outstanding attention to detail to ensure analysis accuracy.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

Elevate your lifestyle! Join one of Europe’s fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we’ve got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24⁄7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it’s a lifestyle of perks and possibilities!

Are you the missing ingredient?

If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

#JD1002

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI...

Tiger Analytics is an advanced analytics consulting firm.

About the role: What’s in the Box

As Staff Marketing Analyst (all genders) you will serve as the primary strategic architect for the Global Reactivations function, moving beyond tactical execution to own the technical roadmap and measurement frameworks that drive high-level business strategy. You will bridge the gap between complex data ecosystems and executive decision-making, acting as a force who scales the impact of the entire analytics domain. Your expertise in CRM Analytics, combined with a knack for storytelling through data, will directly influence the ability to reduce churn impact and optimize our channels along with marketing spend.

What you’ll do: The Recipe

• Partner with Marketing and Growth leadership to define KPI trees and measurement frameworks that align global reactivation efforts with long-term business goals.
• Architect advanced analytics solutions using BigQuery, GA4, and behavioral datasets to uncover deep insights into churn patterns and lifecycle optimization.
• Design and analyze rigorous A/B tests and incremental lift studies to ensure global marketing strategies are rooted in statistical truth and clear ROI.
• Lead the integration of AI and automation tools to build scalable, self-service reporting assets that democratize data access across the organization.
• Develop automated reporting and dashboards that democratize data access and enable self-service analytics.
• Advocate for technical excellence by standardizing data schemas and mentoring junior analysts in SQL/Python best practices and peer review.
• Translate complex statistical concepts into persuasive, executive-level narratives that influence strategic decision-making and global budget allocations.
• Work with wider teams to analyse and provide recommendations based on customer lifecycle data.

What you’ll bring: T he Ingredients

• 7+ years of experience in Customer/Marketing Analytics, including customer retention metrics, A/B testing, and analytics in fast-paced B2C or subscription-based businesses.
• Advanced SQL & BigQuery expertise, including complex query writing, optimization, data modeling, and analysis of large-scale datasets.
• Strong Python and Excel skills for data analysis, automation, and reporting (e.g., pandas, numpy, advanced formulas, pivot tables, dashboards) and ideally familarity with AI tools like ChatGPT, Claude, Copilot, etc.
• Proficiency in data visualization tools such as Tableau, Looker, or Google Data Studio, with experience presenting clear, actionable insights
• Solid statistical and analytical capabilities, including regression, clustering, time series analysis, and the ability to turn ambiguous problems into structured, results-driven recommendations.
• Collaborative, business-focused mindset and enthusiasm for solving customer engagement and retention challenges through data.
• Ability to independently scope, prioritize, and deliver impactful solutions while balancing analytical rigor with speed.
• Strong communication skills, with the ability to clearly explain technical concepts to executives, defend data-driven recommendations, mentor and support others.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

Elevate your lifestyle! Join one of Europe’s fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we’ve got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24⁄7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it’s a lifestyle of perks and possibilities!

Are you the missing ingredient?

If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

#JD1002

Headquarters: Brazil
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself.

This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

Compensation & Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-and-platform-manager

Headquarters: Mexico
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself.

This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

Compensation & Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-and-platform-manager-1

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

.

Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

.

See yourself at Twilio

Join the team as Twilio’s next Product Data Analyst (L3)

About the job

This position is needed to help uncover and deliver product data, analysis, and insights that empower stakeholders at all levels to maximize the impact of data in decision making. Our team is expanding to provide meaningful, data-backed insights from which to develop and grow our industry leading communications products.You will own analytics workstreams end to end from ambiguous problem statements to deliver insights in a fast moving environment.

Responsibilities

In this role, you’ll:

• End-to-End Analytics: Own complex projects from scoping ambiguous problems to delivering actionable, data-driven insights.
• Product Strategy: Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning.
• Technical Execution: Apply SQL and visualization tools (Looker, Tableau) to translate complex data into clear stakeholder recommendations.
• Data Standardisation: Maintain and document metrics, datasets, and models using Confluence and Datahub to ensure a single source of truth.
• Project Management: Balance multiple concurrent initiatives with clear prioritization and proactive status updates.
• Quality Assurance: Maintain rigorous data quality standards through robust validation and transparent quality control.
• AI-Driven Efficiency: Integrate modern AI tools into daily workflows to speed up SQL coding, analysis, and documentation.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Professional Experience: 4+ years of experience in quantitative analysis, business intelligence, or data analytics, with a proven track record of converting complex, ambiguous data into actionable business results.
• Core Technical Skills: 4+ years of hands-on experience writing, optimizing, and performing quality assurance (QA) in SQL or relational database languages on a regular basis.
• Data Visualization: Proficiency with modern BI tools, with a strong preference for Tableau and Looker (LookML).
• Structured Problem Solving: Strong analytical mindset with the ability to decompose vague problem statements into clear, executable data strategies.
• End-to-End Ownership: Demonstrated ability to independently manage deliverables from initial requirement gathering through to stakeholder delivery with minimal guidance.
• Project Delivery: Exceptional organizational skills with a track record of juggling multiple competing priorities and driving tasks to completion with reliable follow-through.
• Communication & Stakeholder influence: Strong written and verbal communication skills with the ability to translate analytics insights into clear narratives and action items that influence stakeholder decisions

Desired:

• AI & Innovation: Experience leveraging LLMs/AI tools to accelerate analytics workflows, combined with a strong curiosity to continuously upskill as technology evolves.
• Data Engineering & Infrastructure: Familiarity with data warehousing concepts, ETL processes, and distributed computing frameworks such as AWS Glue, Spark, DBT, Athena.
• Advanced Analytics: Proficiency in Python (Pandas, NumPy, Scikit-Learn) or R for statistical modeling, regression analysis, hypothesis testing, and causal inference.

Location

This role will be remote, and based in India (only in Karnataka, Tamil nadu, Maharashtra, Telangana, Delhi)

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

.

Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

.

Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

.

See yourself at Twilio

Join the team as Twilio’s next Business Intelligence Analyst.

About the job

This position is needed to provide actionable insights into strategic operations initiatives through the application of your expertise in quantitative analysis, technical systems, and leadership in analytics.

Twilio’s Customer Experience Ops Customer Intelligence team is looking for a curious and action-oriented analyst with a passion for using data to influence decision making and deliver product insights. The ideal candidate is comfortable navigating complex problems, determining the right data to focus on and is able to derive insights and recommendations based on disparate data. This role interacts with stakeholders at all levels throughout the organization and helps inform product, compliance, and delivery strategy.

Responsibilities

In this role, you’ll:

• Work with technical program managers to inject data into decision making and planning to increase confidence in strategic business outcomes via defining OKRs, designing and building insight generating reports and dashboards, and partnering cross functionally to source and process product data.
• Leverage SQL programming skills and data visualization tools to communicate product insights and recommendations to stakeholders at all levels. Standardize, maintain, and document metrics, models, datasets, and dashboards leveraging tools such as Tableau, Confluence, Acryl, and code.
• Source, identify, and leverage data and insights for time-critical and strategic decision making.
• Partner with leaders to successfully roll out and enable the adoption of dashboards and metrics.
• Work closely with product leadership to monitor and improve product performance while collaborating with business leaders to drive exceptional product offerings. Measure and analyze product value and value proposition through metrics.
• Collaborate with data producers and consumers during the product development lifecycle to ensure consistent data quality and availability for reporting post launch.
• Own and foster stakeholder partnerships by acting as a trusted advisor.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 3-5 years of professional experience performing quantitative analysis, building dashboards and reports, working with business partners to convert ambiguous, messy data into tangible and actionable results that influence product and business impacting decisions in a fast paced industry.
• Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an often ambiguous environment.
• Excellent verbal and written communication skills.
• Proficient level experience writing, developing, and performing data deep dives and writing complex queries in SQL and SQL-like relational data languages
• Minimum 2 years Tableau experience developing and managing dashboards is required.
• Demonstrated ability in building reports, metrics, dashboards, etc. for analytics projects that often require data preparation processes such as data extraction, cleansing, mapping, loading and operationalizing workflows in production.

Desired:

• Familiarity or hands-on experience utilizing Generative AI tools (e.g., Gemini, GitHub Copilot, ChatGPT) to optimize SQL query writing, data analysis workflows, and documentation is a plus.
• Experience in telephony, email, messaging, social media, or other electronic communications is a plus.
• Experience or familiarity with data warehousing and/or ETL processes, and distributed computing technologies (Hive/Presto/Spark/Zeppelin) is a plus.
• Experience in BI reporting tools like Looker is a plus.
• Experience with unstructured data is a plus.

Location

This role will be Remote, and based in Colombia

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

.

Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Top 3 Reasons To Join Us

• Competitive Salary
• 100% Remote
• Working on the latest tech for the Insurtech Market Leader

About Us

At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.

• We are a leading global no-code insurance platform for health, life, and P&C
• We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
• We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
• We’re an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
• We are fully funded and backed by reputable VC funds and strategic institutional investors
• We have a global presence in Asia, EMEA and the Americas
• We’ve grown our annualized revenue by over 30x since January 2021
• We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world

What You Will Do:

• Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
• Plan and design simple to semi-complex business processes and system modifications
• Make recommendations to improve and support business activities
• Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
• Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
• Develop business requirements documents/user stories to support the required modifications
• May plan, allocate and monitor work of other business analysts
• Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
• Assist in providing time estimates for project related tasks
• Aid in updating process and procedural documentation
• Develop basic understanding of technical development cycle of mobile application or web portals
• Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
• Any other task that may be assigned

What We Need:

• Minimum 5 years of experience as Business Analyst
• A degree in Business, IT or any relevant field
• Previous experience working in the health insurance industry is required (insurtech experience is preferred)
• Health Insurance-related domain certification from INS/LOMA or III is an added advantage
• Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
• Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
• Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
• Experience in an Agile and/or Scrum environment is a must
• Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
• Excellent written and verbal communication skills in English
• Technical writing skills are a plus
• Must be based in Canada

Why You’ll Love Working Here

• Fully Remote
• Flexible Leave
• International Environment
• Competitive renumeration package
• Performance Bonus
• Company activities and events
• Learning and development plan
• Remote work allowance

CoverGo Company Video

By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com

Data Analyst– Contract

We are looking for Data Analyst to join our growing team. A Data Analyst will leverage their business and technical knowledge to organize and manage deliverables in a data warehouse consolidation and business intelligence implementation project, while also working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.

Key Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

• Data Analysis and Interpretation:
  • Conduct in-depth analysis using the data warehouse to identify trends, patterns, and insights.
  • Interpret complex data sets and communicate findings to both technical and non-technical stakeholders.
• Data Extraction and Transformation:
  • Assist with ETL processes to extract, transform, and load data from various sources.
  • Collaborate with IT teams to create seamless data integrations.
• Quality Assurance and Testing
  • Perform thorough data validation and testing to ensure the highest possible data quality.
  • Clearly define and communicate when quality standards are not being met.
• Problem Solving
  • Perform root cause analysis to identify the underlying or fundamental causes of an issue or problem.
  • Demonstrate ability to offer suggestions and solutions to remedy issues and promote sustainability.
• Collaboration and Communication:
  • Work closely with cross-functional teams, including IT and business stakeholders, to align on goals and key deliverables.
  • Effectively prioritize tasks to meet established team goals.
• Documentation:
  • Accurately document data mappings and definitions.
  • Outline standard processes and procedures of core activities

Supervisory Responsibilities: None

Qualifications

Education and Experience:

Education and Experience:

• Bachelor’s degree in healthcare or computer science related field preferred, but not necessary.
• 2+ years’ experience with any programming language (SQL, PLSQL, R, Python, etc)
• 2+ years’ experience in data analytics on any data warehouse (Oracle, SQL, Snowflake)
• Healthcare experience a plus
• Agile/SAFe experience a plus

Work Environment:

• Remote work from home.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:

• Must be able to remain in a stationary position 50% of the time.
• The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
• The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer

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