Senior Product Data Analyst
Mixbook
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Conduct in-depth product analytics to uncover user behavior patterns and trends
- Analyze web data, conversion funnels, and user journeys to identify optimization opportunities
- Perform ad hoc analyses to answer critical business questions and support strategic decisions and monitor key performance metrics and proactively identify areas for improvement
- Investigate user engagement patterns to enhance product stickiness and retention
- Collaborate with cross-functional teams to solve complex business problems
- Create intuitive and powerful dashboards in Hex and Looker for stakeholders across the organization
- Develop comprehensive reporting frameworks aligned with company KPIs
- Measure the success of new product features through rigorous data analysis
- Establish metrics that accurately reflect product health and business impact
- Automate reporting processes to increase efficiency and data accessibility
- Independently lead the statistical, direction of our experimentation agenda, guiding the business on experimentation and statistics best practices, dig into confounding factors and prioritizing designing complex experiments including pricing experiments
- Lead experiment design and execution and build a strong experimentation culture by educating teams on best practices
- Apply statistical rigor to test design, sample size determination, and results interpretation
- Identify opportunities for A/B testing to optimize product performance
- Use tools like Optimizely, Eppo, or LaunchDarkly to implement and track experiments
- Develop frameworks for consistent and reliable experimentation across the company
- Influence stakeholders by translating complex data findings into compelling stories
- Build clear, concise presentations to executive teams that drive action
- Find innovative ways to quantify ambiguous business problems
- Advocate for data-informed approaches to solving business challenges
- Proactively identify opportunities where data can drive business value
Requirements
- Bachelor's or Master's degree in a quantitative field (eg, Computer Science, Engineering, Statistics, Economics, Finance, Mathematics).
- 8+ years of proven experience in Analytics/Business Intelligence
- Strong SQL skills with demonstrated ability to write complex queries
- Good working knowledge of Python for data analysis
- Proficiency with Excel and PowerPoint for data analysis and presentation
- Strong data visualization skills with demonstrated ability to present complex data clearly
- Experience with experimentation frameworks and design using statistical methods (A/B testing, hypothesis testing, etc.)
- Experience designing experiments using advanced methodologies (sequential testing, Bayesian methods)
- Experience thriving in fast-paced environments.
- Comfortable implementing new analytic techniques and driving adoption across teams.
Benefits
- Occasional early morning meetings (as early as 6am PST) are required to collaborate with our engineering team in Eastern Europe
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product analyticsweb data analysisconversion funnel analysisuser journey analysisA/B testingstatistical analysisSQLPythondata visualizationreporting frameworks
Soft Skills
collaborationproblem-solvingcommunicationleadershipstorytellinginnovationdata advocacypresentation skillscritical thinkingadaptability