Back
Metro-based mid-level product analytics role with common skills and 3–5 year range increases applicant competition.
Core product analytics skills transfer across industries, though regulated fintech experience is a moderate advantage.
Explicit 3–5 years plus mandatory SQL/Python and product analytics tooling makes shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own product analytics by transforming user behavioural data and dashboard stats into actionable insights for Product Managers and senior leadership.
Build and manage the relationship between Product and Data Engineering to translate PM questions into technical data requests and prioritize analytics work effectively.
Establish and lead the product analytics function and standards, including KPI tracking, data integrity, launch tracking, tool improvements, and reporting frameworks.
3-5 years of experience in product or customer analytics, ideally with Product or Data Engineering teams.
Strong skills in SQL and/or Python with experience managing large, complex production datasets.
Proficiency with product/customer analytics tools like Mixpanel, Google Analytics, Power BI, AB Tasty, or similar.
Work Experience Required: 3-5 years in relevant analytics roles. No explicit educational or location requirements stated.
Experienced in setting up analytics functions and frameworks independently in a growing product-driven environment.
Comfortable operating autonomously with good judgment on when to escalate issues to executive leadership and balancing ambiguity in problem scoping.
Strong influencer who can build interdepartmental relationships and communicate complex insights effectively to diverse stakeholders without formal authority.