Manager, Data Analytics

The Home Depot; Vaughan; On-site; CAD 73,400 - 85,700; Full time

Job summary

The Home Depot in Vaughan, Canada is hiring a Manager, Data Analytics to support the development and delivery of data products and solutions. This role focuses on data management and works with various teams to improve analytics and data quality.

Key responsibilities include aggregating data for reporting, collaborating on data pipeline designs, and responding to analytical requests. The ideal candidate has over 5 years of experience in data analytics and strong communication skills, with a pay range of $73,400 - $85,700.

Qualifications

• 5+ years in data analytics, data engineering, and/or business intelligence.
• Strong analytical and problem-solving abilities.
• Proficient in data analysis and engineering concepts.

Responsibilities

• Aggregate data for self-serve analytics for internal teams.
• Develop and maintain scorecards, reports, and dashboards.
• Design and maintain reliable data pipelines.

Skills

Data engineering

Proficiency in SQL

Python

Google BigQuery

Collaboration

Problem-solving

Job description

Position Overview

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. You will provide thought leadership and act as a strategic and analytical partner across the organization.

Key Responsibilities

• Aggregate data to enable reporting and self‑serve analytics for various internal teams
• Partner with stakeholders to develop and maintain scorecards, reports, and dashboards
• 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

Competencies

• Data engineering: designing and maintaining scalable data pipelines and ETL processes
• Technical skills: proficiency in SQL, Python, Google BigQuery; familiarity with cloud platforms (GCP)
• Business acumen: understanding of retail domain and ability to translate business requirements into data solutions
• Collaboration: strong communication skills and ability to work effectively with cross‑functional teams
• Problem‑solving: analytical mindset with focus on process optimisation and automation
• Data quality: commitment to accuracy, governance, and performance across large datasets

Experience and required Skills

• 5+ years in data analytics, data engineering, and/or business intelligence
• Strong analytical and problem‑solving abilities
• Proficiency in data analysis and data engineering concepts
• Excellent organisational and time management skills
• Effective interpersonal and communication skills for cross‑functional collaboration
• Ability to manage projects and adapt to change in a fast‑paced environment

The pay range for this position is between $73,400.00 - $85,700.00.

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. This technology is used to quickly and consistently identify candidates whose skills and experience are the strongest match for the role. Our process is designed to ensure human oversight is maintained throughout the selection process.