Senior Data Analyst

Role overview

Dashboards and data reporting

• Design, develop, enhance, and maintain Tableau and/or Power BI dashboards for reporting and performance management.
• Build master datasets and reporting layers with Databricks, SQL, and Python, integrating and validating multiple data sources.
• Automate weekly and monthly financial scorecards, dashboards, and management reports.
• Create clear visualizations and explain trends, performance, and key business drivers.

Analysis and data quality

• Analyze subscriber, revenue, equipment, usage, and other financial or business KPIs across complex datasets.
• Translate Finance and business needs into data models, queries, dashboards, and reporting solutions.
• Optimize SQL queries and Databricks workflows for extracting, joining, cleansing, transforming, and aggregating data.
• Automate data preparation, validation, reconciliation, reporting, and financial or statistical analyses.
• Investigate data discrepancies and quality issues, identify root causes, and work with teams on solutions.
• Support Finance, Pricing, Commercial Strategy, Marketing, and Sales with datasets, insights, and ad hoc reporting.

Partnering and data requirements

• Support business cases, forecasting, performance measurement, and ad hoc analytical requests.
• Define data requirements and business rules and ensure outputs are accurate, complete, and fit for purpose.
• Partner with Data, Technology, and IT teams to identify data sources and understand upstream and downstream dependencies.
• Present analytical findings and translate complex data into clear stories, insights, and actionable recommendations.

Qualifications

• 3+ years of data analytics or Business Intelligence experience; telecommunications experience is ideal.
• 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.
• Knowledge of data modelling, transformation, quality, architecture, and management; experience building master datasets and scalable reporting.
• 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.
• Adaptable, collaborative, customer-focused, and comfortable in a fast-paced environment.

About the employer