Own the end-to-end lifecycle of a data domain, building reusable systems and methodologies that enable dozens of downstream teams to move faster with greater confidence.
Design validation frameworks, monitoring, and QA systems that proactively detect issues, reasoning deeply about representativeness and bias.
Partner with technical product managers and data engineering managers to set analytical direction and make tradeoffs between speed, rigor, and scalability.
Build new analyses and support existing ones using SQL and Python.
Apply software engineering principles like version control and continuous integration to the analytics codebase.
Expand our data warehouse with clean data ready for analysis.
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. It delivers integrated, AI-powered solutions to unlock student engagement and empower teachers.
Own data quality and methodology end-to-end for private investor insights, driving accuracy and coverage.
Build and scale the data function from 1 to 10, hiring and mentoring a high-caliber team.
Design and maintain a world-class QA system and lead pipeline business logic design.
We are the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points to uncover actionable insights. With a global presence and a culture recognized as a Best Workplace for three consecutive years, we emphasize transparency, ownership, and continuous mastery.
Oversee data quality processes, investigate issues, and conduct root cause analysis.
Develop and maintain quality controls, reporting, and AI-assisted workflows.
Build and manage a team of data quality analysts to improve efficiency and accuracy.
ApartmentIQ is a profitable, growth-stage proptech company building AI and data SaaS products for the multifamily housing industry. With over 100 employees spread across the U.S., it has raised $30M+ from top investors and operates with a strict no a**holes policy.
Own the reporting infrastructure powering decision-making across Credit Cards, Banking, and Marketplace verticals.
Partner with Yield, Paid Media, and Account Management teams to uncover trends and deliver proactive analyses.
Drive dashboard standardization and self-service analytics, becoming a trusted analytical partner.
Launch Potato is a profitable digital media company that reaches over 30M monthly visitors through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. With a remote-first team spanning over 15 countries, they value high-growth, high-performance culture with speed, ownership, and measurable impact.
Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.
YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
Lead and mentor a team of data and analytics engineers, including hiring, performance management, and career development.
Define the data engineering and analytics roadmap, prioritizing data platform investments and cross-functional initiatives.
Oversee data infrastructure design, reliability, and governance, ensuring accurate dashboards and analytics delivery.
Serve Robotics is reimagining urban deliveries with personable sidewalk robots. We are a team of tech industry veterans in software, hardware, and design, agile, diverse, and driven, focused on collaborative problem-solving.
Lead the Analytics Engineering team to build a trusted semantic metrics layer powering decision-making across the company.
Partner cross-functionally with Engineering, Product, Data Science, Finance, and Executive Leadership to define data strategy and ensure scalable, accessible data.
Drive technical excellence in data modeling, governance, and infrastructure while managing and developing a high-performing team.
HighLevel is an AI-powered business operating system that provides agencies, entrepreneurs, and SMBs with infrastructure to build, automate, and scale their operations. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership, fostering a culture of initiative, clarity, and execution.
Own the entire data stack end to end, ensuring pipelines, dbt models, and dashboards are reliable and scalable.
Define and govern core company metrics, turning ambiguous business goals into precise, trusted definitions.
Lead and grow a high-performing data team, partnering with engineering and business leaders to drive data-driven decisions.
AIOS is building the world's first full-stack AI doctor, serving 150k patients per month via Bolt Pharmacy. At $350M ARR and growing rapidly, we are a profitable, founder-led company with a young, ambitious culture.
Lead Sprout's centralized Decision Analytics function, overseeing data science and analytics teams to drive strategic choices across the company.
Drive a shift from reactive reporting to proactive, insight-driven decision-making, partnering with senior stakeholders.
Champion AI-forward thinking and collaborate cross-functionally to build a predictive data culture.
We are a global leader in social media management and analytics software. Our hybrid team of 1,400 people across the globe is committed to customer and team success, fostering a culture of openness, empowerment, and fun.
Lead and develop a team of data scientists to deliver proof-of-concept projects for enterprise customers.
Build and review ML models, conduct fraud analyses, and ship production-grade solutions alongside your team.
Partner cross-functionally with Engineering, Product, and GTM to scope work and influence the roadmap.
Sardine is the leading agentic risk platform for fighting financial crime. With over 6 billion profiled devices and a remote-first culture, we hire self-motivated individuals who value performance over hours.
Evaluate and build upon third-party datasets to assess quality, business value, and potential use cases.
Conduct quantitative analyses, define success metrics, and translate findings into actionable recommendations.
Collaborate with engineering, partnerships, and business stakeholders to drive new product development projects.
YipitData is a market research and analytics firm for the disruptive economy, analyzing billions of alternative data points to provide insights for top investment funds and Fortune 500 companies. The company has raised $475M, operates globally, and is recognized as a Best Workplace for three consecutive years.
Lead, mentor, and grow the data team while remaining hands-on with data architecture and analytics.
Drive data strategy and execution across core data systems and self-serve tools.
Partner cross-functionally to deliver trusted data resources and foster a culture of data quality.
Outschool is an online learning platform that connects learners with live, interactive classes. The company fosters a data-driven culture and values collaboration, though its size is not specified.
Set the pricing methodology and own the risk strategy conversation with senior leadership.
Turn a monitoring function into a decision engine by designing decision systems and driving them to adoption.
Architect the data foundation for Risk Analytics using dbt and Snowflake, and mentor senior data scientists.
Extend provides AI-driven post-purchase solutions for retailers, including automated customer service, returns, and fraud detection. Backed by prominent technology investors and headquartered in San Francisco, they work with over 1,000 merchant partners across multiple industries.
Actively own the end-to-end delivery cycle for critical client accounts, extracting data and executing advanced analyses.
Serve as a trusted advisor to senior brand and retailer stakeholders, driving mutual revenue and optimizing campaigns.
Serve as a core liaison connecting Sales, Engineering, Data Science, and other teams to align technical capabilities with market demands.
Avery Dennison is a global materials science and digital identification solutions company with locations in over 50 countries and approximately 35,000 employees worldwide. They foster a culture of curiosity and courage, committed to diversity and innovation.
Author and maintain dbt models and PySpark transformation jobs for RWD data pipeline engineering.
Own the channel partner data inquiry queue, resolving standard requests and conducting root cause analysis.
Follow SDLC best practices, manage engineering work through Jira, and apply CI/CD via GitHub.
Arcadia helps innovative providers and payers transform healthcare by aggregating disparate data, applying algorithms to improve patient care. The company is a fast-growing market leader in population health management, recognized by KLAS, IDC, Forrester, and Chilmark.
Lead cross-functional teams to drive revenue initiatives through data-driven recommendations.
Own and identify innovative strategies to maximize revenue and enhance client acquisition.
Improve quantitative analysis techniques and data infrastructure to uncover revenue opportunities.
Extend provides AI-driven solutions for retailers to enhance post-purchase experience, including automated customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners across various industries and is backed by prominent technology investors.
Define standards, taxonomies, and requirements for data flow and reporting across the business.
Analyze business performance to uncover drivers behind churn, retention, and conversion for leadership action.
Lead the analytics function, team development, and AI-driven analytics strategy at SQUIRE.
SQUIRE is a business management system designed for barbers, shop owners, and their communities, providing tools and resources to help barbers manage operations and increase revenue. Founded in 2015, SQUIRE is trusted by over 30,000 barbers across 5,000+ shops in over a thousand cities worldwide.
Shape Mozilla's most important business decisions with rigorous, data-driven insights.
Build trusted relationships with senior leaders and cross-functional partners to drive alignment.
Design and deliver sophisticated analytical solutions for complex, high-dimensional data problems.
Mozilla Corporation is a non-profit-backed technology company that has shaped the internet for over 25 years, building pioneering brands like Firefox. With more than 225 million monthly users worldwide, they are a mission-driven organization focused on open-source software, privacy, and security.
Design, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping to actionable insights.
Partner with Product, Data Science, Engineering, and other teams to define requirements and manage expectations.
Lighthouse is a commercial strategy AI platform for hospitality, turning hotel data into real-time intelligence to drive revenue. With 850+ employees across 35 countries and over $100M in ARR, the company fosters a collaborative, innovative culture focused on customer success.
Lead the development of scalable, trusted data products for Affirm's revenue teams.
Design and build durable, well-tested data products that power revenue operations and reporting.
Advance AI initiatives within the revenue data ecosystem by identifying high-value use cases.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. Affirm is a publicly traded financial technology company with thousands of employees, known for its people-first culture and remote-first work environment.