Data Analyst, Customer Support Operations
Role Overview
Transforms retailer support, customer experience, sales, and operational data into insights for business decisions.
Works with Customer Support Operations, CRM, retailer-facing teams, Data Science, and technology partners.
Key Skills for This Role
Full Job Posting
Role overview
Transforms retailer support, customer experience, sales, and operational data into insights for business decisions.
Works with Customer Support Operations, CRM, retailer-facing teams, Data Science, and technology partners.
Retailer analytics and program coordination
- Develop retailer dashboards, scorecards, reports, segmentation, benchmarking, and comparative performance analyses.
- Analyze sales, products, purchasing, engagement, inventory, promotions, service, and operational performance.
- Lead assigned Retailer Data Program requirements, enhancements, testing, documentation, stakeholder feedback, and roadmap activities.
- Partner with Data Science to develop and validate reporting features; monitor platform adoption and recommend improvements.
Reporting, data, and enablement
- Prepare recurring and ad hoc reporting, forecasts, scenario analyses, and leadership presentations.
- Manage Power BI workspaces, datasets, models, and SQL queries in accordance with access, security, and governance standards.
- Maintain data quality, KPI documentation, data dictionaries, reporting standards, and governance frameworks.
- Automate repeatable reporting and support self-service analytics through training, documentation, and user support.
Qualifications
- Post-secondary degree or diploma in a relevant analytics, computing, mathematics, information systems, or business field.
- 5+ years in data analytics, business intelligence, sales analytics, retail analytics, or a related analytical role.
- Experience developing and administering Power BI dashboards and reporting environments, and working with SQL and relational databases.
- Advanced Power BI and Excel; strong SQL, data visualization, forecasting, performance measurement, data governance, and data quality skills.
- Ability to translate business requirements into analytical solutions and support leaders with strategic reporting.
- Excellent communication, presentation, and stakeholder-management skills.
- Relevant advanced education or certifications, retail or customer operations experience, predictive analytics, and cloud/data warehousing knowledge are preferred or assets.
Work arrangement
- Position location is Toronto, Ontario, near York Mills and Yonge Street.
- Required travel is rare and usually within the Greater Toronto Area.
Hours and employment
- Permanent, full-time role with 36.25 hours of work per week.
Compensation
- Target hiring range is $80,000–$86,000 per year; stated salary range is $61,291.58–$93,437.08.
- Placement depends on market conditions, internal equity, and relevant experience, skills, and qualifications.
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