Senior Business Data Analyst

myview; Brampton; Hybrid; CAD 85,000 - 110,000; Full time

Job summary

Loblaw Companies Limited's Finance Insights and Technology Engagement (FITE) team is seeking a Senior Business Data Analyst to partner with Finance stakeholders and translate requirements into actionable analytics. You will design reports, dashboards, and data models using SQL, Python, and GCP tools to support financial reporting and decision making.

You will communicate with senior leadership, drive project delivery from inception to completion, and help ensure data integrity across large data

Qualifications

• Minimum 3 years related work experience in a similar role.
• University degree or post-secondary education in Finance, Business, Math/Statistics, Analytics or other relevant field.
• Working knowledge of database applications such as Google BigQuery, MS SQL Server and Teradata.
• Advanced SQL skills, including complex joins, window functions, CTEs, and performance tuning.
• Experience with SAS, Python, Gitlab, etc.
• Familiarity with Google Cloud Platform services and BI tools.

Responsibilities

• Proactively partner with Finance stakeholders to identify, analyze, and translate their BI needs into strategic solutions.
• Develop reports, dashboards, and analytical models from financial data using Power Platform and Excel.
• Manage all project phases from inception to completion including requirements, scoping, estimation, risks, and escalation.
• Facilitate code and data design reviews with internal teams and Loblaw Technology counterparts.
• Document team processes, methodologies, and findings for technical and non-technical stakeholders.
• Act as a liaison between Finance and Technology to align business needs with data capabilities.
• Develop and optimize large SQL queries for ETL to support financial reporting.
• Design and enhance Python and VBA scripts to automate data transformation and reporting.
• Perform root cause analysis on data discrepancies and system issues.

Skills

SQL

Analytical thinking

Communication

Education

University degree in Finance, Business, Math/Statistics, Analytics

Tools

Google BigQuery

Teradata

MS SQL Server

GCP

Python

Power BI

SAS

Gitlab

Job description

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued - as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

About the Team

The Finance Insights and Technology Engagement ( FITE ) team at Loblaw is responsible for managing centralized financial analytics and reporting for Canada's largest and most successful retailer. Our multifaceted team synergizes their skills across various key domains including data governance, analytics, business intelligence development, and process automation.

About the Role

We are looking for a talented and motivated Senior Business Data Analyst to join the Finance Insights and Technology Engagement (FITE) team. You will be working with various teams and stakeholders to foster relationships, understand requirements, and use a vast array of tools to deliver tech-based solutions. You will also rely on a creative mind and be able to think outside of the box. The ability to communicate and present to various levels within the business and to external partners is of utmost importance. A strong knowledge of SQL is required, as well as working knowledge of Google Cloud Platform (GCP) and Python.

Please note our hybrid work policy is 4 days in office at 1 President's Choice Circle in Brampton.

Responsibilities

• Proactively partner with Finance stakeholders to identify, analyze, and translate their Business Intelligence needs into strategic solutions, delivering timely and accurate insights.
• Develop insightful reports, dashboards, and analytical models from extensive financial data using Strategy, Power Platform, and Excel, and deliver data-driven solutions to critical business challenges.
• Drive successful project delivery by expertly managing all phases from inception to completion encompassing requirement gathering, project scoping, effort estimation, risk mitigation strategies, progress tracking, and critical issue escalation.
• Drive technical excellence by actively facilitating code and data design reviews with both internal team members and Loblaw Technology counterparts.
• Create and maintain comprehensive, accurate documentation of team processes, methodologies, and analytical findings, ensuring clarity for both technical and non-technical stakeholders and preserving institutional knowledge.
• Act as a technical liaison between Finance and Technology teams to bridge the gap between Finance business needs and technical capabilities in data management, reporting and analytics.
• Develop, maintain, and optimize large-scale SQL queries (e.g., in Google BigQuery, Teradata) for data extraction, transformation, and loading (ETL) to support financial reporting and analysis.
• Design, build, and enhance Python and VBA scripts to automate data transformation, validation, and reporting processes to reduce manual effort and improve data accuracy.
• Perform root cause analysis on data discrepancies and system issues impacting financial data integrity, proposing, and implementing corrective actions.
• Participate in weekly huddles and present project updates to senior leadership during team meetings.

Role Requirements

• Minimum 3 years related work experience in a similar role.
• University degree or post-secondary education in Finance, Business, Math/Statistics, Analytics or other relevant field.
• Working knowledge of database applications such as Google BigQuery, MS SQL Server and Teradata.
• Advanced level SQL skills, including complex joins, window functions, Common Table Expressions (CTEs), and performance tuning.
• Working Experience with Application Tools such as SAS, Python, Gitlab, etc.
• Foundational knowledge of data governance, predictive analytics, AI and modelling.
• Familiarity with other GCP services such as Google Cloud Storage (GCS), Dataflow, Composer (Airflow), or Cloud Functions.
• Familiarity with and/or exposure to BI Tools such as MicroStrategy, Power BI, Tableau, and financial systems and processes etc.
• Previous experience with SAP S4 (or similar ERP systems) is an asset.

Core Competencies

• Exceptional analytical skills and proven capability to drive insights from data and analytics.
• Ability to self-organize multiple tasks well and to complete them on time with a clear focus on quantitative and/or qualitative results.
• Excellent verbal and written communication skills.
• Willingness to work well in a fast-paced team environment.
• Ability to "think outside the box".

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