The Manager, Data Analytics supports the development and delivery of data products, data solutions, and data management analytics. This role works cross‑functionally with Supply Chain Distribution, Transportation, Delivery, Finance, Master Data Management, and Analytics teams to enable reporting, develop measurement strategies, support data pipelines, automate processes, and apply analytics to improve data quality across the customer experience. The role requires a strong understanding of data capture and transformation across complex data models, identifying efficiencies in business processes through analytics, and operationalizing data‑driven products in a self‑serve environment for a wide range of stakeholders. Aggregate data to enable reporting and self‑serve analytics for various internal teams Collaborate with Technology teams to design, implement,



and maintain reliable data pipelines for structured and unstructured data Provide data extraction and insights to analysts and specialists developing customer‑facing experiences Respond to ad‑hoc data and analysis requests on a regular basis Design and implement efficient and scalable data pipelines Data engineering: designing and maintaining scalable data pipelines and ETL processes Technical

skills:
proficiency in SQL, Python, Google BigQuery; Business acumen: understanding of retail domain and ability to translate business requirements into data solutions Data quality: commitment to accuracy, governance, and performance across large datasets 5+ years in data analytics, data engineering, and/or business intelligence ~ Proficiency in data analysis and data engineering concepts ~ Ability to manage projects and adapt to change in a rapid‑paced environment AI Screening In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and assessment of applicants for this position.

📌 Data Manager Temps Plein (Canada)
🏢 The Home Depot
📍 Canada