Senior Product Analyst
Fully remote work opportunity with global flexibility.Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLData AnalysisMicrosoft ExcelProblem SolvingData visualizationA/B testing
Requirements
- Bachelor’s or Master’s degree in a quantitative or technical field such as Mathematics, Statistics, Computer Science, or Engineering.
- Strong knowledge of statistical analysis, probability theory, and experimental design.
- Proficiency in data analysis tools such as SQL, Python, and Excel.
- Extensive experience in designing, executing, and analyzing A/B tests in product environments.
- Strong understanding of key product and marketing metrics, including user engagement, retention, conversion, and LTV.
- Experience working with large datasets and building meaningful dashboards or visualizations.
- Strong analytical thinking with the ability to translate complex data into clear business insights.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently in a remote, global, and cross-functional environment.
- Strong communication skills to present findings to both technical and non-technical stakeholders.
Responsibilities
- Build and maintain automated data collection pipelines from multiple heterogeneous sources and develop centralized BI dashboards for product monitoring.
- Analyze core product and business metrics to identify anomalies, trends, and opportunities for growth or optimization.
- Design, execute, and evaluate A/B tests, ensuring methodological accuracy and reliable interpretation of results.
- Provide analytical support for product hypothesis generation and feature development initiatives.
- Conduct deep-dive analysis of large datasets to uncover hidden patterns, dependencies, and actionable growth insights.
- Collaborate with product, engineering, and marketing teams to translate data insights into strategic product decisions.
- Monitor marketing and product performance metrics to support user acquisition, engagement, and retention strategies.
- Ensure data integrity, consistency, and accuracy across reporting systems and analytical tools.
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