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J.D. Power

Senior Data Engineer

Reposted 22 Days Ago
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Seeking a Senior Data Engineer with expertise in SQL and Python to develop data solutions for the automotive industry, improve processes, and collaborate across teams.
The summary above was generated by AI

Title: Data & Analytics Senior Data Engineer - P4

Location: Remote Canada

Reports To: Data Science & Engineering - Vice President


The Role: 

JD Power is looking for a senior 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.


The Impact You Will Have in This Role: 

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.

What You'll Be Doing in This Role: 

  • Daily immersion in automotive industry data
  • Collaborate with stakeholders to define data requirements
  • Engineer robust and extensible data pipelines for new and existing products
  • Design, troubleshoot, and execute repeatable data processes, in which you’re finding bottlenecks and ways to become incrementally more efficient
  • Generate valuable insights from our data and package them into insightful client-friendly interpretations
  • Interdisciplinary work: you’ll interact with multiple teams across the firm to implement solutions and improve processes. This includes Consulting, New Product Development, Data, Engineering, etc. 

Qualifications of this Role: 

  • 6+ years of full-time quantitative analytics experience
  • Expert in SQL and Python required
  • Highly skilled 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 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
  • Experience resolving data issues in creative and effective ways.  Example: Acumen and gut instincts to know when to say, “This doesn’t seem reasonable.”
  • 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

The Way We Work: 

  • Leader Led
  • Remote First
  • Foster Flexibility
  • Reward Performance
  • Time Off Matters

Company Mission 

J.D. Power is clear about what we do to ensure our success into the future. We unite industry leading data and insights with world-class technology to solve our clients’ toughest challenges.  

Our Values 

At J.D. Power, we strive to be Truth Finders, Change Makers and Team Driven - the distinct behaviors that, together, define our unique culture.   


J.D. Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. 

J.D. Power is an equal-opportunity employer and compliant with AODA/ADA legislation. Should you require accommodations during the recruitment and selection process, please reach out to [email protected]

 

To all recruitment agencies: J.D. Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. 

#remote
#Canada



Top Skills

Python
SQL

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