Gem is looking to solve the problem of transforming raw data into products for customers and colleagues by building and maintaining data pipelines and reports, architecting product usage event taxonomy, designing metrics to measure success, and running in-depth investigative analyses.
Requirements
- Strong proficiency in SQL (dbt experience preferred) and BI tools (Looker preferred) with a deep understanding of dimensional modeling and transformation
- 2.5+ years working experience as an Analytics Engineer, Data Analyst, or Data Scientist
- Experience operating in a scrappy, dynamic startup environment (companies with <150 people), management consulting, or investment banking a plus
Responsibilities
- Build and manage core data assets (infrastructure, models, reports, and automation) that ensure teams can self-serve accurate, reliable insights
- Work cross-functionally to define and track metrics that drive product adoption and revenue growth
- Conduct custom analyses to support customers and drive decisions
- Identify and execute on opportunities where data and analytics can have significant impact
- Improve our processes for maintaining high quality data and reporting
- Drive continuous improvement initiatives by analyzing workflow inefficiencies and recommending data-driven solutions that reduce manual processes and improve team productivity
Other
- Bachelor’s degree in Economics, Finance, Statistics, Engineering, or other quantitative disciplines strongly preferred
- You’re a critical thinker with strong business and product intuition
- You’re extremely analytical
- You’re capable of prioritizing your work, setting clear expectations, and delivering against those expectations
