Data Analytics Lead
As Marketing Analytics Lead, you will own end-to-end marketing analytics, focusing on measurement, attribution, and improving marketing performance. You will build data models and pipelines, and surface actionable insights to drive user growth and efficiency.
About the job
Key Responsibilities
- Own marketing analytics end-to-end: Take full ownership of the marketing analytics workflow—from models and dashboards to insights that shape team priorities and roadmaps.
- Own and evolve measurement + attribution: Develop, maintain, and constantly improve our marketing measurement and attribution through analysis and experimentation.
- Deliver high-impact insights: Partner closely with marketing stakeholders to proactively identify and lead analyses that answer key strategic questions, uncover growth and efficiency levers, and inform channel strategy.
- Drive scientific decision-making: Use experimentation data, forecasting, and predictive analysis to inform forward-looking marketing and growth strategy.
- Champion a data-first culture: Guide teams to interpret and act on data, write clear documentation, and lead by example in driving evidence-based decisions.
We’d Love to Hear From You If You...
- Have 4–8 years of experience: You've owned marketing analytics at a fast-paced, high-growth company.
- Are a marketing attribution expert: You've seen it all when it comes to attribution, from relying on in-platform numbers to MTA or MMM, and you have strong perspectives about what solutions should be used when.
- Are well versed in growth marketing: You've worked hand-in-hand with performance marketing teams before and have a deep understanding of growth marketing priorities, projects, and challenges, including channel-specific nuances.
- Bring strong technical skills: You write clean, performant SQL and are comfortable working in our existing data stack (dbt, Fivetran). You can navigate and build on top of established data models—no need to build pipelines from scratch.
- Are curious, strategic, and outcome-oriented: You proactively shape the right questions, translate complex data into clear, actionable insights, and balance speed with depth to drive high-impact decisions.
- Communicate complex ideas with clarity: You distill deep analysis into crisp, actionable takeaways, whether writing a Notion doc or presenting to leadership, and you earn trust across cross-functional teams.
- Are motivated by impact and mission: You believe in the power of food as medicine to transform healthcare and are excited to improve lives at scale by contributing to Nourish's mission.
Compensation & Benefits
Skills
SQL, dbt, Fivetran, Marketing Attribution, Growth Marketing
Similar jobs
Data Analytics jobs
Hudl
Lincoln, NEOwns cloud and software cost visibility through forecasting, chargeback, anomaly monitoring, and automation. The role partners across engineering, product, finance, and accounting and requires 5+ years of analysis, budgeting, forecasting, and scripting experience, with strong Python, SQL, and AWS expertise.
Airbnb
United States
Leads advanced analytics for product teams by analyzing complex data, designing experiments, building performance metrics, and delivering actionable recommendations. Requires 6+ years of experience, quantitative expertise, strong stakeholder communication, and proficiency in Python or R and SQL.
Komodo Health
United States
Analyzes and improves healthcare data quality by investigating anomalies, managing issue resolution, testing data products, and implementing monitoring processes. Requires healthcare data expertise, SQL or Python proficiency, database testing experience, and strong analytical skills.
Apartment List
United States
Own marketing performance measurement, experimentation, dashboards, and modeling to guide growth investment decisions. The role requires 3–5 years of analytics experience, strong SQL, marketing measurement expertise, BI reporting skills, and clear stakeholder communication.
United States
Senior Business Analyst supporting Reddit’s revenue strategy by building BigQuery data pipelines, semantic models, and dashboards for the Large Customer Sales channel. The role requires strong SQL, analytics, cross-functional collaboration, and the ability to translate complex data into measurable business outcomes.