Data Engineer

October 19

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J.D. Power

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Market Research • Analysis • Insights • Data and Analytics • Customer Experience Management

501 - 1000 employees

Founded 1968

Description

• JD Power is looking for a data engineer with excellent quantitative and analytical skills. • Our ideal candidates are determined to use their skills to combine multiple data sources together to solve complex client questions around vehicle valuations, market readiness, and customer purchase decisions. • You’ll work hands on with quantitative data to help create new capabilities, and to improve and maintain existing capabilities. • We make data products that solve problems for the auto industry. Every data engineer will work on projects that go into production and directly impact new and existing products.

Requirements

• Expertise in extract, transform, and load (ETL) processes with quantified efficiency and accuracy outcomes. Experience in bringing together data sets across multiple sources, with multiple dimensions and layers of complexity • Demonstrated exposure to (not expertise in) data analytics, and/or statistical concepts such as: promotion/price, media mix modeling, multivariate regression, logistic regression, time-series modeling, data mining, simulation, optimization, and/or forecasting • Fluency of database software: SQL required • Fluency in statistical programming software: R or Python preferred • Experience resolving data issues in creative and effective ways. Acumen and gut instincts to know when to say, “This doesn’t seem reasonable.” • Independent professional who can take a vision and implement with limited instruction • Bachelor’s degree (required) with statistics or mathematical background: Econometrics, Statistics, Operations Research, Quantitative Marketing, Finance, Engineering or similar • An effective cross functional communicator in both written and verbal skills • Ability and willingness to learn in a fast-paced environment • Resilient work ethic • 4-6 years of full-time quantitative analytics professional (non-academic) experience and quantified business impact