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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Define how Future measures what matters — from product health to business performance to coaching outcomes.
- Build relationships with data consumers across the organization.
- Own the analytics roadmap. Decide what to build and how to prioritize.
- Design and implement data transformation pipelines in dbt.
- Perform strategic analyses on large, complex datasets.
- Use AI to accelerate data exploration and synthesis.
Requirements
What you’ll need- 7+ years of experience as a data analyst, analytics engineer, or data scientist.
- You've built analytics practices at a startup or early-stage company.
- Deep fluency in SQL. Comfortable reading and writing Python.
- 1+ years of hands-on experience with dbt, Snowflake, or equivalent.
- Proven ability to own full-stack analytics projects end-to-end.
- You've operated at the Senior or Staff level.
Benefits
Comp & perks- Comprehensive medical, dental, and vision insurance, plus life and disability coverage.
- 401(k) plan with tax-advantaged savings options.
- Stipend to set up your workspace and monthly support for internet or coworking.
- Monthly wellness stipend plus access to mental health resources and therapy support.
- Flexible PTO so you can rest, recharge, and take care of life outside of work.
- Annual budget for courses, conferences, coaching, and tools that help you grow.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisanalytics engineeringdata scienceSQLPythondbtSnowflakedata transformationstrategic analysisAI
Soft Skills
relationship buildingprioritizationownershipcommunicationcollaborationproblem-solvingleadershipstrategic thinkingadaptabilityinitiative
