Senior Product Data Analyst

Mixbook
5dRemote

About The Position

We’re seeking a talented, experienced Senior Data Analyst with a unique blend of analytics, experimentation, dashboarding, and data modeling experience. If you're passionate about solving complex data challenges, thrive in a fast-paced environment, and want to make a tangible impact, this is your chance to shine. Our data stack today is: Redshift, dbt, Looker, Metaplane, Optimizely, Mixpanel, GA4.

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.
  • Occasional early morning meetings (as early as 6am PST) are required to collaborate with our engineering team in Eastern Europe

Nice To Haves

  • Background in B2C eCommerce
  • Experience with python including statistical modeling packages
  • Knowledge of dbt and Looker is a bonus
  • Experience with Hex for collaborative data analysis and visualization

Responsibilities

  • Drive Business Performance
  • 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
  • Unleash the Power of Data
  • 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
  • Test and Experiment
  • 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
  • Champion Data-Driven Decision Making
  • 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
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