Manager, Data Analytics

With a career at The Home Depot, you can be yourself and also be part of something bigger.

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