J.D. Power Logo

J.D. Power

Quantitative Modeling Analyst – Data Science

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in Canada
Mid level
Remote
Hiring Remotely in Canada
Mid level
As a Quantitative Modeling Analyst, you'll design and analyze survey studies, perform advanced multivariate statistical analysis, and collaborate with teams to deliver insights on customer satisfaction.
The summary above was generated by AI

Title: Quantitative Modeling Analyst - P3

Location: Remote Canada

Reports To: Senior 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: 

  • Experience with research methodology and design
  • Experience with Python, SAS, and/or SPSS
  • Masters or Ph.D. in Psychology, Sociology, Economics, Statistics, or related Social Science fields
  • 2+ years of an advanced understanding of Multivariate Statistics, Research Design, Measurement Theory, Attitudinal Research
  • 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

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. 

Top Skills

Excel
Python
SAS
Spss

Similar Jobs

5 Hours Ago
Remote or Hybrid
Winnipeg, MB, CAN
Mid level
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Territory Account Executive will engage with sellers in face-to-face sales, build relationships, and exceed sales goals while utilizing Salesforce to manage leads.
Top Skills: Salesforce
5 Hours Ago
Remote or Hybrid
Calgary, AB, CAN
Mid level
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Territory Account Executive manages sales for Square's products in-person within their local market, focusing on building relationships, generating leads, and meeting sales goals.
Top Skills: Salesforce
5 Hours Ago
Remote or Hybrid
8 Locations
Senior level
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Technical Program Manager drives the global GTM tooling roadmap, managing high-impact programs and coordinating cross-functional teams to optimize systems and deliver results.
Top Skills: APIsMarketoSalesforce

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account