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Quantitative Modeling Analyst – Data Science

Title: Quantitative Modeling Analyst – Data Science - P3

Location: Canada (Remote)

Reports toSenior Director, Data Science

 

The Role: 

As an Analyst in Data Science, you will help design, analyze, and interpret the results of survey research studies that measure customer satisfaction. Additionally, you will provide technical programming expertise working with Python, SAS, Excel, and other automation tools to conduct advanced multivariate statistical analysis on survey and non-survey data.  

 

The Impact You Will Have in This Role: 

You will support syndicated studies that address industry level consumer needs and serve as customer satisfaction benchmarks in a variety of industries such as Telecom, Financial Services, Insurance, and Energy. The outcome of your work will be used by clients to help them understand what is important to consumers, how their brand performs relative to their competition, what their brand needs to do to improve and the financial benefit of making these improvements.

What You'll Be Doing in This Role: 

  • Assist in study methodology design including sample planning and questionnaire development.
  • Leverages broad scope of knowledge when performing basic and advanced analyses on data sets; uses scripts, codes, languages, etc.to develop models, accurately calibrate model parameters and validate model performance and analytical outputs
  • Applies and enhances basic and advanced quantitative analytical skills for specific projects/studies
  • Applies business rules, methodologies and performs quality control checks
  • Works with other individuals and teams to ensure project accuracy and timeliness of information to clients
  • Minimal travel, some overtime (including weekends).

 

Qualifications of this Role: 

  • 2+ years of an advanced understanding of Multivariate Statistics, Research Design, Measurement Theory, Attitudinal Research
  • Master's or Ph.D. in Psychology, Sociology, Economics, Statistics, or related Social Science fields
  • Experience with research methodology and design
  • Experience with Python, SAS, and/or SPSS
  • Must be able to work effectively and collaboratively in a team oriented, global, and multi-cultural environment.
  • Fluent in English, (read, write and speak)

 

The Hiring Manager says: 

I’m looking for someone who can work as part of a broader engagement team and can use our data to help companies understand what drives customer satisfaction for their industry.  This individual also has to work independently to design and analyze data using analytic packages (Python, SAS, SPSS).  If you’re right for this role, you are a self-starter who is able to develop creative solutions to problems, not be afraid to ask questions as you learn our company’s culture and do it all with enthusiasm.

 

The Way We Work: 

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

 

The Career Opportunity: 

You will have the opportunity to work with industry experts to learn how different industries are structured and how they leverage consumer information to guide product development and service improvement efforts.  You will also have the opportunity to strengthen your research design and statistical skills by daily exposure to senior research staff at JD Power.

 

The Team / The Business: 

Data Science has global responsibility for the research design, analyses planning and execution of all advanced analytics at JD Power.  Additionally, the team is responsible for establishing and monitoring the adherence of research best practices that serve as the basis for the quality of all research products at JD Power.  Our role is critical to the success of not only individual studies, but to the strength and credibility of the JD Power brand.  You will report directly to the Marketing Sciences Sr. Director and join a team of highly educated and enthusiastic researchers and statisticians that collaborate regularly with each other and with other teams across the firm. 

 

Our Experience

J.D. Power has been capturing and analyzing the Voice of the Customer across more than a dozen industries globally for 50 years. We know measuring customer experience is not easy, but that’s where we come in. Through our proprietary index model, we identify the many drivers of customer experience, accurately measure and link their impact to business results, and uncover insights to drive results for our clients.

 

Our Data, Analytics, and Resources

Across 18 offices globally, our team of more than 800 professional analysts, statisticians, economists, consultants, and experts in demographics and consumer behavior focus on delivering insights clients can act on immediately. We serve an increasing number of countries and regions around the world, including Brazil, India, Japan, Taiwan, China, Philippines, Indonesia, Singapore, Thailand, Malaysia, Vietnam, South Korea, Canada, Mexico, Europe, Australia, Germany, and the UK.

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 tarecruitment@jdpa.com

 

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. 

 

 

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Average salary estimate

$77500 / YEARLY (est.)
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$60000K
$95000K

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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.

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Full-time, remote
DATE POSTED
March 6, 2025

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