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Mid-level (3–5 years), popular product-analytics title, metro location, and broad skill requirements increase competition.
Core product analytics skills transfer across industries, though regulated-finance experience is preferred.
Explicit 3–5 years plus mandatory SQL/Python and product analytics tooling creates moderate filtering of candidates.
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Own the end-to-end product analytics function including deciding key questions, metrics, and reporting cadence to inform product decisions.
Translate Product Managers’ questions into technical data requests and manage the relationship with Data Engineering for data delivery.
Set and enforce standards for KPI tracking, product launch monitoring, data reconciliation across platforms, and introduce new analytical tools including AI assistance.
3–5 years of experience in product or customer analytics, preferably working with Product or Data Engineering teams.
Strong SQL and/or Python skills with ability to handle large, complex, and messy production datasets.
Experience with product/customer analytics tools such as Mixpanel, Google Analytics, Power BI, or similar.
Work Experience Required: 3–5 years in relevant analytics roles.
Senior-level analyst comfortable working independently with ambiguity, capable of scoping problems and making judgment calls without close supervision.
Strong communicator able to influence cross-functional stakeholders without direct authority and manage escalation effectively when needed.
Experienced in building or maintaining analytics dashboards and frameworks from start to finish, with a track record of establishing analytics standards and processes.