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Senior Product Data Analyst 296 views

At CarGurus they use data, not hunches, to inform decisions. Product Analysts play a key role in crafting the data narrative for these decisions. They love to collaborate, they’re excited by a challenge, and they believe that ownership enables them to grow.

They are looking for thoughtful, fearlessly curious candidates who can dive into complex data and draw insightful conclusions. As a member of a growing team, you will have opportunities for outsized positive impact through a high level of autonomy. You’ll work cross-functionally with many departments and stakeholders, and gain exposure to multiple dimensions of the business.

Their team values diversity in experience and backgrounds—they do their best work when they create space for different voices and perspectives. Whatever unique experiences or skill sets you bring to the table, they look forward to learning from each other

What You’ll Do

    • Conduct exploratory data analysis across disparate data sources (e.g. website usage, dealer behavior patterns, and customer insights) to understand the performance of existing products and identify opportunities for new product offerings
    • Partner with the product, engineering, marketing, sales, and finance departments to grow their business, including recommending and advocating for performance improvement ideas
    • Define metrics to evaluate business performance, products, and experiments; build reports and dashboards to monitor and understand them
    • Communicate and present data analysis, visualizations, and insights to key stakeholders
    • Be a voice and advocate for using data to improve the quality of their decision making
    • Mentor data analysts on technical and professional development

 

Who You Are

    • 4+ years of experience in data analysis (experience in consumer internet, digital marketing or SaaS product data a plus)
    • Fluency in SQL and Python/R, or other scripting languages
    • Strong grasp of statistical concepts (confidence intervals, hypothesis testing, regression models)
    • Knowledge of BI and reporting tools, or demonstrated ability in learning a new tool
    • Ability to influence multiple stakeholders to adopt new data-driven approaches and achieve shared business goals
    • Excellent verbal and written communication skills

 

 

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