Senior Data Analyst
Role Overview
Join the Wireless Service & Equipment Finance team as a Senior Data Analyst, providing expert data management and value-added analysis on wireless revenue.
The position is based in Toronto and focuses on service and equipment revenue, usage KPIs, reporting, and performance management.
Key Skills for This Role
Full Job Posting
Role overview
Join the Wireless Service & Equipment Finance team as a Senior Data Analyst, providing expert data management and value-added analysis on wireless revenue.
The position is based in Toronto and focuses on service and equipment revenue, usage KPIs, reporting, and performance management.
What you'll do
- Design and maintain Tableau and/or Power BI dashboards for reporting and performance management.
- Develop master datasets and reporting data layers with Databricks, SQL, and Python, including data extraction, transformation, integration, and validation.
- Automate weekly and monthly financial scorecards, dashboards, management reports, and recurring data preparation and reconciliation.
- Analyze wireless subscriber, revenue, equipment, usage, and financial KPIs; translate business requirements into scalable data and reporting solutions.
- Optimize SQL queries and Databricks workflows; investigate discrepancies and data quality issues and help implement solutions.
- Support Finance, Pricing, Commercial Strategy, Marketing, and Sales with analytical insights, datasets, and reporting.
- Partner with Data, Technology, and IT teams to understand data sources and dependencies; present findings and actionable recommendations.
What you'll bring
- At least three years of data analytics or business intelligence experience; telecommunications experience is preferred.
- Advanced Databricks and SQL skills with large, complex datasets.
- Strong Python and/or PySpark programming and data manipulation experience.
- Advanced Tableau dashboard development; Power BI experience is an asset.
- Strong knowledge of data modeling, transformation, quality, architecture, and data management.
- Experience building master datasets, reusable reporting sources, and automated, scalable reporting solutions.
- Strong Excel skills, including large datasets and financial analysis.
- Experience with statistical, trend, variance, testing, and performance analysis.
- University degree in computer science, mathematics, or a related field.
- Insight-driven, adaptable, collaborative, and customer-focused; able to thrive in a fast-paced environment.
Benefits
- The company describes access to resources, growth opportunities, discounts, and other perks.
About Rogers
Rogers describes its work as connecting Canadians through partnerships, its network, and content, with opportunities across corporate business units.
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