Senior Product Data Analyst, Consumer

About the Role

Key Responsibilities

• Using SQL to conduct exploratory empirical analyses that bridge disparate data sources to quantify product performance, user behavior, and market trends, distilling unstructured 'big data' into actionable insights.
• Creatively compress high-level exploratory requests into specific calculations that address stakeholders' underlying needs.
• Dig into data beyond initial assignments, consulting with teams to resolve anomalies or explore relevant issues.
• Escalate and automate analyses using R/Python scripting.
• Advise on A/B experimentation, including data points to collect, sample sizes, metrics, robustness, and success evaluation.
• Provide technical guidance on improving A/B testing tools, algorithms, and automation processes.
• Conduct research on latest trends in A/B experimentation and suggest internal improvements.
• Advocate for data-driven product innovations in partnership with Product/Engineering teams.
• Participate in brainstorming and planning discussions to support organizational goals.
• Challenge flawed proposals tactfully and persuasively.
• Develop and refine metrics that define business success, translating abstract concepts into concrete calculations.
• Audit and improve existing metrics to better meet business needs.
• Build intuitive dashboards and visual monitoring tools for decision-making by senior stakeholders.
• Experiment with new visualization techniques and rework visualization code as needed.
• Communicate complex quantitative findings clearly to leadership, emphasizing key takeaways.
• Respond to follow-up questions from senior decision-makers with clarity and insight.
• Conceive and build automated data assets and transformations (e.g., via DBT, LookML).
• Partner with Data Engineering to optimize data modeling and architecture, fixing bottlenecks in large datasets.

Requirements

• Bachelors or Masters Degree with 4+ years of experience in analytics or related fields involving complex data modeling, quantitative analysis, and applied statistics.
• 2+ years of experience communicating analysis results to leadership to influence strategy.
• Expert fluency in SQL; strong background in R or Python is highly desirable.
• Understanding of core statistical concepts such as regression, significance testing, and bias.
• Ability to create creative data visualizations.
• Willingness to generate novel ideas and challenge others' ideas.
• Excellent verbal and written communication skills, comfortable presenting to senior leadership.
• Strong project planning skills, including building roadmaps, estimating resources, and managing dependencies.
• Preferred tools include Snowflake, Snowplow, DBT, Looker, Jira, Salesforce, Google/MS suite.

Nice to Have

• Strong background with either R or Python.
• Experience with tools such as Snowflake, Snowplow, DBT, Looker, Jira, Salesforce, Google/MS suite.

Qualifications

• 4+ years of experience in analytics or related field.
• Experience with complex data modeling, quantitative analysis, and applied statistics.
• 2+ years of experience communicating analysis results to leadership.
• Expert in SQL; proficiency in R or Python.

Benefits & Perks

• Best-in-class benefits and compensation, including equity for all employees.
• Career development and corporate giving programs.
• Employee resource groups (ERGs) and communities.
• Flexible hybrid work model and robust time off policies.
• Perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage.