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Product Data Analyst
Salary- $80K/yr - $100K/yr
hybrid, Remote
Posted 1 month ago
Job Description
We are seeking a data-driven Product Data Analyst to support product strategy and decision-making through actionable insights and analytics. The Product Data Analyst will work closely with Product Managers, Engineering Teams, UX Researchers, Marketing, and Business Stakeholders to analyze user behavior, measure product performance, and identify opportunities for product growth and optimization.
The ideal candidate will have strong analytical skills, experience working with large datasets, and the ability to translate complex data into meaningful business recommendations. This role is critical in helping teams build products that improve customer experience, engagement, retention, and revenue.
Key Responsibilities
Product Analytics & Reporting
- Analyze product usage data to identify trends, patterns, and opportunities.
- Develop and maintain dashboards, reports, and KPI tracking systems.
- Monitor key product performance metrics and user engagement indicators.
- Create data visualizations to communicate product insights effectively.
- Provide regular reporting to Product Managers and leadership teams.
User Behavior Analysis
- Analyze customer journeys and user interactions across products.
- Identify user adoption, retention, and churn trends.
- Evaluate customer engagement and feature utilization.
- Perform cohort, funnel, and segmentation analyses.
- Recommend improvements based on user behavior insights.
Product Performance Measurement
- Define and track product success metrics.
- Measure feature adoption and business impact.
- Evaluate product releases and enhancements.
- Support product roadmap planning through data-driven recommendations.
- Monitor customer satisfaction and experience metrics.
Experimentation & A/B Testing
- Design and analyze A/B tests and experiments.
- Measure the effectiveness of new features and product changes.
- Interpret experiment results and provide actionable recommendations.
- Ensure statistical significance and analytical accuracy.
- Collaborate with product teams on experimentation strategies.
Cross-Functional Collaboration
- Partner with Product Managers, Engineers, and Designers.
- Gather business requirements and translate them into analytical solutions.
- Present findings and recommendations to stakeholders.
- Support strategic product initiatives with data insights.
- Assist leadership in making informed product decisions.
Data Quality & Governance
- Ensure data accuracy and consistency across reporting systems.
- Validate product tracking and event instrumentation.
- Maintain documentation for metrics, dashboards, and reporting processes.
- Support data governance and compliance initiatives.
Required Qualifications
- Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field.
- 2+ years of experience in Product Analytics, Data Analytics, Business Intelligence, or a related role.
- Strong proficiency in SQL.
- Experience with data visualization and BI tools.
- Knowledge of statistical analysis and experimentation methods.
- Excellent analytical and problem-solving abilities.
- Strong communication and presentation skills.
Preferred Qualifications
- Experience supporting SaaS, mobile, e-commerce, or technology products.
- Familiarity with product analytics platforms.
- Knowledge of Python or R for advanced analytics.
- Experience with customer journey analytics.
- Understanding of machine learning fundamentals.
- Experience working in Agile development environments.
Technical Skills
Data Analysis
- SQL
- Python (Pandas, NumPy)
- R
- Excel
Product Analytics Tools
- Amplitude
- Mixpanel
- Heap
- Google Analytics 4 (GA4)
- Adobe Analytics
Business Intelligence & Visualization
- Power BI
- Tableau
- Looker
- Google Data Studio
Databases & Data Platforms
- Snowflake
- BigQuery
- Redshift
- PostgreSQL
- MySQL
Statistical & Analytical Techniques
- A/B Testing
- Hypothesis Testing
- Cohort Analysis
- Funnel Analysis
- Retention Analysis
- Predictive Analytics
Soft Skills
- Critical Thinking
- Data Storytelling
- Business Acumen
- Communication Skills
- Stakeholder Management
- Problem Solving
- Attention to Detail
- Collaboration
Job Features
| Job Category | Data Science |




