Product Data Analyst

About the Role

Key Responsibilities

• Support product and engineering teams for CarGurus' online retail experience.
• Utilize SQL expertise to conduct exploratory empirical analyses that bridge disparate data sources to quantify product performance, user behavior, and market trends.
• Distill unstructured 'big data' into actionable insights.
• Review A/B experimentation, advising engineers and product managers on data points to collect, sample sizes, metrics, robustness of findings, and success or failure of changes.
• Provide technical guidance on improving A/B testing tools, algorithms, and automated processes.
• Advocate for data-driven product innovations aligned with high-level company strategy in partnership with Product/Engineering teams.
• Participate in brainstorming and planning discussions across the organization.
• Generate metrics to measure business success and condense challenges into concrete calculations.
• Build intuitive dashboards and visual monitoring tools for decision-making by senior stakeholders.
• Communicate complex quantitative findings in easily digestible terms to company leadership.
• Create new data assets and build automated transformations.
• Partner with Data Engineering teams to optimize, integrate, and distill large raw datasets and metadata.

Requirements

• Master's degree (or foreign equivalent) in Computer Science, Statistics, Business Analytics, Finance, or a related field.
• Completion of a university-level course, research project, internship, or thesis in SQL.
• Experience with statistical programming, including R, Stata, SAS, or Python.
• Knowledge of core statistical concepts, including regression, significance testing, omitted variable bias, and independence/dependence.
• Experience with data visualization platforms, including PowerBI.
• Experience with data modeling and analysis of user behavior.

Nice to Have

• Experience with data architecture and core data modeling, especially user clickstream logging.

Qualifications

• Master's degree or equivalent in relevant fields.
• Completion of coursework or projects in SQL, statistical programming, and data analysis.

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 such as daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage.