Sr. Data Analyst (Product Analytics)

New

JobgetherProduct analytics

Based in United StatesFull-TimeSenior

Salary not disclosed

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Job Details

Experience: 3+ years of experience in data science, data analytics, or another quantitative discipline
Required Skills: PythonSQLJavascriptGoogle AnalyticsProduct AnalyticsR

Hold a bachelor's degree or higher in a relevant field, or have equivalent professional experience.
Have 3+ years of experience in data science, data analytics, or another quantitative discipline, with a record of delivering analytics projects.
Have strong experience in product analytics, experimentation, funnel analysis, retention, segmentation, and user behavior analysis.
Have experience with event-tracking instrumentation and collaborating with Engineering to validate and maintain analytics implementations.
Have experience working with real-time and historical data, including cleaning, processing, analysis, modeling, insight generation, and execution strategy.
Be proficient with SQL and have experience with statistical programming or analytical tools such as R or Python.
Have experience with product and marketing analytics platforms such as Amplitude and Google Analytics.
Have strong analytical, quantitative, and problem-solving skills, with attention to detail.
Be able to communicate findings through data visualization and storytelling to technical and non-technical audiences.
Have ownership, initiative, and follow-through, and be able to work in a startup or fast-paced environment.
Experience improving data pipelines, data storage, or analytical frameworks is preferred.
Familiarity with JavaScript or Google Tag Manager for event tracking is a plus.

Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and support data-driven decisions.
Lead product and growth analyses covering funnels, cohorts, retention, segmentation, monetization, user behavior, and experimentation.
Define success metrics and assess the impact of new features, experiments, and broader product initiatives.
Build dashboards, recurring reports, and self-service analytics for stakeholders across the organization.
Collaborate with Engineering to design, implement, validate, and maintain product event tracking within React-based interfaces.
Investigate and resolve tracking issues that affect data quality and analytical reliability.
Combine product analytics, advertising, payment, and CRM data to develop a unified view of business performance.
Document key metrics, tracking plans, and data definitions.
Contribute to improvements in data pipelines, storage, and analytical frameworks.

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