Data & Research Analyst

General Motors • Markham, ON

2d • Hybrid

About The Position

This role is categorized as hybrid, meaning the successful candidate is expected to report to the Markham Elevation Centre at least three times per week. The Data & Research Analyst is a hybrid analytics and research role that sits at the intersection of Marketing Applied Science (MAS) and Consumer Intelligence & Research. This person will help build and maintain the data foundations, measurement, and reporting that power GM Canada’s brand, media, and retail strategies, while gaining increasing exposure to insight generation and storytelling. The ideal candidate brings a broad width of data skills (querying, light coding, data structuring, basic modeling support), with a strong focus on naming conventions, data QA, structuring, processing, and cleaning, and is looking to progressively expand into insights and strategy responsibilities. Reporting directly into the Head of Marketing Applied Science & Intelligence, this role offers high visibility, cross‑functional exposure, and a clear stretch path toward a more senior insights/strategy profile. What this role is A hands-on analytics and data role with growing exposure to insight generation and storytelling. A bridge between MAS and Research, focused on making data usable, trusted, and actionable.

Requirements

• Bachelor of Science in Mathematics, Computer Science, Social Sciences, or Business with an analytics focus.
• Backgrounds or specializations in Statistics, Economics, Psychology, or Business analytics are assets.
• X years xperience in marketing analytics, BI, data engineering, or marketing research with demonstrated technical grounding in data ETL, analysis, statistics, and research methods.
• Demonstrated skill with Power BI is a critical requirement that will be examined. Applicants must be able to effectively use the platform on day 1.

Nice To Haves

• Post Graduate degrees with research or field studies components are an asset.
• Experience with automotive or consumer goods categories, or with major market research / data vendors (e.g., JD Power, Maritz, Kantar, YouGov,) is an asset.
• Exposure to advanced marketing analytics methods such as MMM, MTA, time‑series forecasting, or customer‑level modeling (even if in a supporting role) is an asset.
• Experience working in cloud-based data platforms such as Databricks is an asset.
• Experience with digital media KPIs, website analytics, retail KPIs, and CX data is an asset.

Responsibilities

• Support marketing mix modeling (MMM) and other advanced marketing analytics workstreams through data extraction, cleaning, transformation, and documentation.
• Maintain and enhance recurring reporting and dashboarding for key marketing, media, and retail KPIs (e.g., performance dashboards, funnel views, campaign scorecards).
• Partner with MAS specialists to build and refine channel- and tactic‑level measurement that supports optimization of audience activation and ROAS.
• Pull, combine, and structure data for the research and consumer intelligence team, including inputs from syndicated platforms, primary research, digital analytics, and retail KPIs.
• Help create integrated datasets that link brand health, demand spaces, media performance, and retail outcomes to enable deeper learning across the funnel.
• Maintain clear data documentation and lineage so research partners can reuse and trust the underlying data assets.
• Enforce naming conventions, data hygiene standards, and documentation that keep our datasets consistent and reusable across MAS and Research.
• Proactively identify and resolve data quality issues, including building tool support for data cleaning, deduplication, and reconciliation, working with MAS, Research, and IT partners as needed.
• Identify and implement opportunities to automate trackers, recurring reporting, and data integration workflows.
• Contribute to research and analytics playbooks, documentation, and best practices, supporting a “test, learn, scale” culture across marketing, media, CX, and retail teams.
• Support data layer of cross‑tab manipulation, root‑cause analysis, funnel analysis, audience sizing, segmentation, demand spaces, and statistical significance testing.
• Work with research partners on data preparation for segmentation, MaxDiff, conjoint, and other advanced methods, ensuring datasets are structured and documented correctly.
• Help translate complex data into clear, visual, and digestible outputs (tables, charts, dashboards) for brand, media, research, and leadership audiences.
• Over time, take on more interpretive responsibility by drafting first‑pass readouts, hypotheses, and simple recommendations in partnership with senior MAS and research leads.

Benefits

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
• Healthcare, dental and vision benefits including health care spending account and wellness incentive.
• Life insurance plans to cover you and your family.
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
• GM Vehicle Purchase Plan for you, your family, and friends.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level