Analytics Engineer

We’re looking for a Analytics Engineer to join the Data team at Chapter. You’ll join a tight-knit team and be empowered to work closely with our product teams to help build out the future of analytics at Chapter.

How You'll Contribute to Our Mission

You’ll be helping establish the foundation for data-driven decision making at Chapter, which includes problems like user segmentation, experimentation, engagement, retention and churn. This means collaborating closely with product managers and engineers to help them understand product performance across our various products, internal and external. Ultimately, you’ll be part of a team that will focus on making sure that we deliver delightful customer experiences and improve the lives of the 11,000 Americans entering retirement every day.

Be a strategic partner for the business; identify areas of opportunity and work with cross functional teams to execute on them.
Work with stakeholders to define and calculate key metrics and make them available through dashboards and analyses and scale them up through automation
Build and maintain critical data sources related to product initiatives
Present learnings and insights in close collaboration with PMs to cross-functional teams
Be a close partner to product managers in impact sizing and prioritizing their roadmap

About You

5+ years of experience in analytics related field
Comfortable with SQL/python or other query compatible language. (We use pyspark; prior experience is helpful but not required)
Proficiency with quantitative analysis and visualization. Able to turn ambiguous and messy data into presentable insights.
Comfortable with ambiguity, strong attention to detail, strong communication, ownership orientation, empirically driven

We think the salary for this role will be between $160,000- $200,000

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