Senior Product Data Analyst Dealer and Product Platform

Role Overview

We are looking for a Senior Product Data Analyst to drive analytics for our Dealer and Product Platform teams. In this role you will tackle complex data environments build out core assets run experiments and many more unstructured analytics tasks to support the growth of the products.

Our Product Data Analytics org as a whole supports our Product and Engineering teams providing the final word on all analytics for CarGurus user and dealer experiences. We are looking for thoughtful curious internally driven candidates who can dive into complex data and draw novel insightful conclusions.

What youll do

• Using your SQL expertise conduct exploratory empirical analyses that bridge disparate data sources (e.g. app and website usage subscription records inventory volumes etc. to quantify product performance user behavior and/or market trends. Doing so will require distilling unstructured big data into actionable insights.
• Creatively compress sweeping highlevel exploratory requests into specific calculations that address your stakeholders underlying needs.
• Relentlessly dig into the data consulting with other individuals and teams as you judge necessary beyond the letter of the initial assignment to hammer out any anomalies or selfdirect your inquiry into other relevant issues.
• Be comfortable escalating and automating your analyses using R/Python scripting.
• Be the authority on A/B experimentation advising engineers and product managers on everything from the necessary data points to collect required sample sizes optimal metrics to examine robustness of numerical findings and the bottomline success or failure of the tested changes.
• Provide technical guidance on and ideas for improving A/B testingrelated tools algorithms and automated processes.
• Conduct selfdirected research on the latest trends in A/B experimentation and map out internal improvements based on your findings.
• Advocate for specific datadriven product innovations that help further highlevel company strategy primarily in partnership with the Product/Engineering teams.
• Participate in brainstorming and planning discussions across the organization to these ends.
• Avoid passivity in the face of flawed proposals; tactfully and persuasively push back against potential missteps.
• Craft the metrics that define business success condensing abstract or looselydefined concepts down to concrete calculations.
• Audit and improve existing metrics to better inform the business needs.
• Build intuitive dashboards and other visual monitoring tools to guide daily decisionmaking by senior stakeholders and the company at large.
• Experiment with new kinds of visualizations that you believe could be better utilized in the organization.
• Rework underlying code to appropriately structure visualization inputs.
• Communicate and present complex quantitative findings in easily digestible terms to company leadership homing in on key takeaways.
• Concretely and informatively respond to any probing onthespot followup questions from senior decisionmakers.
• Conceive of new data assets and build automated transformations (via DBT LookML etc. to bring them to fruition.
• Partner with Data Engineering teams to advance core data modeling/architecture (e.g. user clickstream logging) by optimizing integrating and distilling large raw datasets and metadata.
• Draw upon prior experience with expansive unrefined datasets to fix modeling bottlenecks in quick scalable outsideofthebox ways.

What youll bring

• 4 years of experience in an analytics or analyticsadjacent field ideally involving complex data modeling quantitative analysis and applied statistics.
• 2 years of experience communicating the results of analyses to leadership teams to influence strategy
• Expert fluency in SQL. Strong background with either R or Python is highly desirable.
• Secondnature understanding of core statistical concepts (regression significance testing omitted variable bias independence/dependence etc.
• Knack for creative data visualizations.
• Willingness to step outside your role and independently come up with novel ideas for the business.
• Willingness to challenge others ideas and advocate for your own.
• Excellent verbal and written communication skills. Very comfortable presenting highimpact and potentially sensitive findings to senior leadership.
• Strong project planning skills with experience building roadmaps estimating required resources and flagging interdependencies with other teams/projects.
• Preferred tools/programs: Snowflake Snowplow DBT Looker Jira Salesforce Google/MS suite