Senior Data Analyst
Role Overview
The Senior Data Analyst (Revenue Operations) supports DRMG and affiliated companies by using operational metrics and client first-party data to inform sales, marketing, and revenue strategies.
Owns the analytics lifecycle for 20–30 key client accounts, from data intake through targeting, matchback analysis, and performance reporting.
Works with BI, Engineering, Sales, Marketing, and partners such as Canada Post while complying with Canadian privacy laws.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Data Analyst (Revenue Operations) supports DRMG and affiliated companies by using operational metrics and client first-party data to inform sales, marketing, and revenue strategies.
Owns the analytics lifecycle for 20–30 key client accounts, from data intake through targeting, matchback analysis, and performance reporting.
Works with BI, Engineering, Sales, Marketing, and partners such as Canada Post while complying with Canadian privacy laws.
Responsibilities
- Intake, clean, deduplicate, and structure client first-party data from spreadsheets and databases.
- Connect direct mail and print exposure to sales, conversions, and revenue through matchback analysis.
- Build repeatable reporting frameworks, dashboards, and visualizations.
- Ensure customer PII and client data are handled, stored, and processed in compliance with PIPEDA, Law 25, and CASL.
- Prepare executive-ready performance narratives and insight decks from campaign results and operational metrics.
- Collaborate across BI, Engineering, Sales, and Marketing on client account analytics.
Qualifications
- Bachelor's degree in a quantitative or business field, such as Statistics, Mathematics, Computer Science, Marketing Analytics, or Business Administration.
- 5+ years in data analytics, marketing performance, or revenue operations managing client first-party data.
- Hands-on proficiency in SQL, Google Sheets, Excel, and BI tools such as Oracle Analytics Cloud, Tableau, Power BI, or Data Studio.
- Experience with matchback or attribution analysis connecting direct response marketing to client revenue.
- Knowledge of PIPEDA, CASL, and Canadian privacy laws for customer data and cloud workspaces.
Compensation
- Expected salary range is $80,000–$100,000 per year.
Work arrangement
- Hybrid work model with part of the week in the Oakville office and part working remotely, based on role and team needs.
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