Be an excellent analyst: Uncover business questions. Develop rational hypotheses around these questions. Write research plans. Explore data in clean and raw forms. Soundly use statistics. Make clear visualizations. Uncover insights. Tell compelling data stories. Present to technical and executive audiences. Drive action and outcomes.
Support a product team: Collaborate with product managers, product leaders, designers, and engineers. Define, root cause, and forecast product metrics. Analyze products, customers, and business outcomes. Uncover what drives process success.
Use a growth toolkit: Think in terms of product activation, engagement, retention, and growth. Support iterative cycles of build, measure, and learn. Design, interpret and support product experiments and A/B tests. Educate partners on statistical validity.
Improve our analytics practice: Turn repetitive analyses into dashboards. Improve team processes. Build data pipelines and tables. Define requirements for better data. Improve data automation and analytics capabilities. Partner with data and analytics engineers.
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