Senior Product Data Analyst

About Mixbook

Mixbook is an award-winning design platform that gives consumers unmatched creative freedom to design and share one-of-a-kind stories, transforming the lives of more than 6 million people. We are the #1 rated photo book service in the US, with 36,000+ five-star reviews and a profitable, growing business.

Customers love Mixbook for our powerful and intuitive editor, exceptional quality, designer-curated themes, and fanatical customer service. Founded by two UC Berkeley entrepreneurs named to Inc.’s 30 Under 30, Mixbook has been featured on the Today Show, Good Morning America, TechCrunch, The Verge, The Washington Post, The New York Times, and more.

Today, Mixbook is a global team building thoughtful, beautifully crafted products at scale - and we’re just getting started.

Overview

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.

What You'll Do

1) 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

2) 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

3) 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

4) 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

What You'll Need

Education & Experience:

• 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

Technical Expertise:

• 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)

Entrepreneurial Spirit:

• Experience thriving in fast-paced environments.

• Comfortable implementing new analytic techniques and driving adoption across teams.

Bonus Points

• 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

Additional Notes

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

#LI-Remote

Company Mission

Our mission is to empower people to be creative and connect deeply with the ones they love. Unlike many growth companies, we have invested deeply in culture. Organizational health is central to our long-term strategy - we believe that when we care for our people, they build great products, our customers feel the difference, and our business grows as a result.

We want people to join us who live our values:

• Courageous Care - empathy with backbone; caring enough to be clear

• Craftsmanship - pride in what we build and who it’s for; ownership end-to-end

• Pioneer Spirit - moving fast and thinking ahead; treating constraints as creative fuel

If Mixbook resonates with you and you’re excited by the work ahead, we encourage you to apply!