Back
Remote, mid-level (3-5 yrs), generalist product analytics role with broad skill requirements increases competition.
Requires product analytics experience in consumer internet/ecommerce, limiting cross-industry portability.
Explicit 3–5 years plus mandatory GA/Firebase, SQL, and Python increases filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the end-to-end implementation, validation, and maintenance of product analytics frameworks including Google Analytics and Firebase across web and mobile platforms.
Analyze customer journeys, product funnels, and clickstream data to identify optimization opportunities and recommend data-driven improvements to user experience and business outcomes.
Develop and maintain automated dashboards, reports, and conduct A/B testing to validate hypotheses and enable informed product decisions in collaboration with cross-functional teams.
3-5 years of Product Analytics experience in Internet, eCommerce, FoodTech, or Consumer Technology sectors.
Bachelor's or Master's degree in Computer Science, Computer Engineering, Statistics, Mathematics, Data Engineering, or related field.
Hands-on experience with Google Analytics and Firebase Analytics implementation and management for web and mobile.
Strong SQL skills for data extraction and analysis; experience with Python or R for analytics and reporting automation.
Experienced in data-driven product optimization within digital consumer technology environments, comfortable managing cross-platform analytics (web and mobile).
Skilled in translating complex data sets into actionable insights and influencing cross-functional teams to improve digital product performance.
Capable of independently handling analytics frameworks, experimentation (A/B testing), and automation of reporting in a fast-paced, dynamic setting.