Data Analyst III, Business Reporting & Analytics

What will you do:

• Build a strong understanding of financial data sources, systems, and business processes to ensure accurate, consistent, and usable data across reporting and analytics.

• Support and contribute to ETL processes, including the extraction, transformation, and loading of financial data into data marts and reporting layers.

• Design, build, and maintain code-based financial reporting and analytical solutions supporting recurring and ad hoc reporting, forecasting, budgeting, and performance measurement.

• Produce, validate, reconcile, and deliver time‑sensitive financial reports, ensuring accuracy, completeness, and adherence to defined timelines and business requirements.

• Perform data reconciliations across source systems, data marts, and reports; analyze variances, investigate root causes, and resolve issues prior to publication.

• Analyze large and complex financial datasets to identify trends, risks, anomalies, and opportunities, translating findings into actionable business insights.

• Apply analytical, validation, and control techniques to ensure data integrity and reliability throughout the reporting lifecycle.

• Translate business and finance requirements into scalable data models, queries, ETL logic, and reporting solutions.

• Collaborate with Business, Finance, Technology, and Data Engineering teams to enhance data platforms, pipelines, and reporting capabilities.

• Identify and implement automation and process improvements to increase efficiency, reduce manual effort, and strengthen controls.

• Prepare concise reports, dashboards, and presentations, communicating insights clearly to both technical and non‑technical stakeholders.

What you bring:

• University degree in Finance, Accounting, Business, Economics, Mathematics, Statistics, or a related quantitative discipline.

• 2-4 years of experience in data analytics, financial reporting, or related roles supporting enterprise reporting and analytics.

• Advanced knowledge of SQL for data extraction, transformation, analysis, and validation.

• Experience with analytical and reporting tools such as Excel, Power BI, and Tableau, with hands‑on experience designing and building dashboards and visual reports, as well as Python or similar technologies.

• Understanding of data modeling, data management, and reporting best practices.

• Experience working with large‑scale financial datasets in enterprise environments.

• Proven, hands‑on experience performing data reconciliation, investigating variances across data sources and reports, and validating results prior to release.

• Experience supporting ETL workflows, with hands‑on ETL development experience using enterprise data platforms considered a strong asset.

• Familiarity with JIRA for story tracking, sprint execution, UAT coordination, and defect resolution is considered an asset.

• Experience with Git‑based repositories, such as Azure DevOps Repos (or similar tools), for code management and promotion across environments is considered an asset.

• Retail or Banking experience is an asset, particularly in finance, sales, inventory, operations, logistics, or related domains.

We’re always looking for great talent! In addition to competitive pay, we offer:

• Comprehensive benefits and retirement programs

• Performance incentives, Continuing Education Programs

• Other perks to support your well-being

• Career growth opportunities and product discounts

Broadband Salary Range: $64,000 – $106,000.

Our typical hiring range is between $64,000 and $85,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.

This posting represents an existing vacancy within our organization.

We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.