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Research Analyst, Economics & Data

Job in Toronto, Ontario, C6A, Canada
Listing for: Madison and Wall
Full Time position
Listed on 2026-08-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
  • Research/Development
    Data Scientist, Economics
Salary/Wage Range or Industry Benchmark: 90000 - 110000 CAD Yearly CAD 90000.00 110000.00 YEAR
Job Description & How to Apply Below

We are looking for a Research Analyst with a strong foundation in economics and statistics to join our small, high-impact team. You will work directly with senior analysts and managing directors to aggregate, model, and forecast economic and industry-specific data that underpins our proprietary advertising market intelligence products.

This is not a traditional financial services role. You will not be building DCF models or writing equity research notes. Instead, you will work with government data sources across multiple countries, build and maintain large data sets covering dozens of media types, produce quarterly forecasts, and write clear, concise analytical summaries. The work sits at the intersection of applied economics, data science, and media industry intelligence.

The ideal candidate is someone who finds government statistical agencies more interesting than Bloomberg terminals, who can turn a messy data release from Statistics Canada or the BLS into a clean, forecasting-ready data set in hours rather than days, and who writes clearly enough to explain what the data means to a CEO.

About the Role

We are looking for a Research Analyst with a strong foundation in economics and statistics to join our small, high-impact team. You will work directly with senior analysts and managing directors to aggregate, model, and forecast economic and industry-specific data that underpins our proprietary advertising market intelligence products.

This is not a traditional financial services role. You will not be building DCF models or writing equity research notes. Instead, you will work with government data sources across multiple countries, build and maintain large data sets covering dozens of media types, produce quarterly forecasts, and write clear, concise analytical summaries. The work sits at the intersection of applied economics, data science, and media industry intelligence.

The ideal candidate is someone who finds government statistical agencies more interesting than Bloomberg terminals, who can turn a messy data release from Statistics Canada or the BLS into a clean, forecasting-ready data set in hours rather than days, and who writes clearly enough to explain what the data means to a CEO.

Key Responsibilities
  • Aggregate and organize historical economic and industry-specific data from government sources (Statistics Canada, BLS, Eurostat, national statistical agencies) across multiple countries
  • Build, maintain, and update large Excel-based data sets and forecasting models covering media types, advertising markets, and macroeconomic indicators
  • Produce quarterly and ad hoc forecasts for economy-wide and industry-specific topics (retail sales, automotive volumes, digital advertising spend, GDP components)
  • Write clear, concise analytical summaries and briefs interpreting data trends for senior leadership and client deliverables
  • Monitor and track new data releases from government agencies, NGOs, trade bodies, and industry associations across 10+ global markets
  • Develop and document methodologies for data collection, normalization, and cross-country comparison
  • Conduct quality assurance on data sets, identifying and resolving inconsistencies, gaps, and anomalies
  • Support client-facing research products by preparing data exhibits, charts, and tables for quarterly publications
  • Research and evaluate new data sources as the firm expands from 10 to 50 global markets
  • Collaborate with managing directors and senior analysts to refine forecasting approaches and respond to ad hoc client inquiries
Qualifications
  • Bachelor's or higher degree in Economics, Statistics, Econometrics, or a closely related quantitative field
  • 3-6 years of professional experience in economic research, data analysis, or applied forecasting
  • Deep familiarity with government and institutional data sources (Statistics Canada, BLS, Eurostat, national statistical offices, central banks, trade bodies)
  • Detailed understanding of the methodologies underpinning benchmark economic data (e.g., how CPI is constructed, seasonal adjustment methods, survey sampling frameworks)
  • Advanced Excel skills (pivot tables, complex formulas, data modeling, large data set management);…
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