Partner cross-functionally to support analytics needs for a specific product area or initiative.
Write SQL queries and use analytics tools to create datasets and analyses that measure product usage, performance, and customer outcomes.
Build and maintain dashboards and recurring reports that help teams monitor key metrics and trends.
Support experimentation efforts by helping define success metrics and analyzing results of A/B tests and product experiments.
Develop a strong understanding of product and operational data sources to ensure accurate and consistent reporting.
Enable self-service capabilities and build on trustworthy datasets.
Perform data quality checks and proactively identify anomalies or inconsistencies and improve data processes.
Translate analytical findings into clear insights and recommendations for product teams.
Contribute to shared analytics documentation, metric definitions, and best practices.
Proactively identify areas outside the regular stream of business requests where analytics can add value.

Requirements

Bachelor's degree in Business, Computer Science, Information Systems, or a related field with a minimum of 5 years of experience in Product Analytics, Data Analysis, Data Science or related field; or a Master’s degree with 3 years of related experience; or equivalent experience.
Strong SQL & statistical data modeling skills (e.g. SQL, Python, R) and experience working with large data sets ensuring accuracy and reliability.
Strong experience with analytics and visualization tools (e.g. Amplitude, Heap, Tableau, Looker, Hex, or similar).
Understanding and application of product metrics, funnels, behavioral analytics concepts, and experimentation.
Strong communication and storytelling skills, with the ability to distill complex data into clear recommendations for technical and non-technical audiences.
Experience translating stakeholder needs and requirements into clear analytical approaches, data architecture, dashboards and insights.
A self-starter mindset - comfortable building new analytics foundations and iterating on them in a fast-moving environment.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonRdata modelingdata analysisproduct analyticsdata sciencedata quality checksA/B testingdata visualization

Soft Skills

communicationstorytellinganalytical thinkingself-starter mindsetcollaborationproblem-solvingtranslating stakeholder needsdistilling complex dataproactive identificationrecommendation formulation