Senior Product Data Analyst

Mixbook

5d•Remote

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