Description
En travaillant chez Home Depot, vous pouvez être vous-même tout en contribuant à quelque chose de plus grand.
Position Overview:
Our entrepreneurial spirit and innovative mindset, combined with the resources and support of The Home Depot Canada, the world's leading home improvement retailer, present a unique opportunity for you to join a transformative retail disruptor. As we strive to deliver the best interconnected shopping experience for our customers, we invite you to become a part of our rapidly growing and highly skilled Analytics team.
In this role, you will handle billions of rows of data from numerous sources, organizing, visualizing, and analyzing them to inform both short- and long-term decision-making, solve problems, and uncover insights. Our team goes beyond generating monthly reports or reusing existing statistical models; we engage in creative work within an empowering environment, with each decision supported by data to enhance various aspects of the customer journey.
We seek dreamers, innovators, and big thinkers who are passionate about data and reimagining the future of retail. Ready to make history with us? Apply today to experience what it’s like to be part of the Analytics team at The Home Depot Canada.
As the Manager, Data Analytics & Data Engineering, you will support the development and delivery of data products, data solutions, and data management analytics. You will work cross-functionally with the Marketing, Digital Media, Digital Content Management, Master Data Management, and Analytics teams.
This role requires a strong understanding of developing efficient data capture and transformation processes across complex data models. You will need to identify business process efficiencies through analytics and have experience operationalizing data-driven products in a self-serve manner for a broad group of stakeholders. You will also contribute thought leadership and serve as a strategic and analytical partner throughout the organization.
Key Responsibilities:
Enable reporting
Develop measurement strategies
Support data pipelines
Automate processes
Proactively apply analytics to measure and improve data quality across the customer experience
Aggregate data to enable reporting and self-serve analytics for various internal teams
Partner with stakeholders to develop and maintain various scorecards, reports, and dashboards
Collaborate with Technology teams for the design, implementation, and maintenance of reliable data pipelines for both structured and unstructured product data
Provide data extraction and insights to a diverse team of specialists and analysts focused on customer experience
Respond to ad hoc requests for analysis, data, and information on a regular basis
Help design and implement efficient data pipelines
Lead a high-performing, high-throughput team of data engineers and analysts, while driving their professional development goals
Competencies:
Collaborates
Action Oriented
Drives Results
Communicates Effectively
Plans and Aligns
Skills:
Strong analytical, influential, interpersonal skills
Organizational skills
Problem-solving and critical thinking skills
Data Analysis
Project and change management
Direct Manager/Direct Reports:
Reports to Senior Manager, Interconnected & Marketing Analytics
Direct reports are a team of Senior Analyst, Data Engineers
Travel Requirements:
Limited
Travel to the stores quarterly
Physical Requirements:
Extended Sitting
Repetitive Tasks
Hybrid Work:
On site 4 days per week
Working Conditions:
Office
Minimum Education:
Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related technical/quantitative field.
Minimum Years of Work Experience:
5+ years of experience in data engineering or a related field.
2+ years of experience in a leadership or management role.
Proficient in SQL, Python, and one or more big data technologies
Familiarity with data warehousing solutions like Redshift, BigQuery, or Snowflake
Minimum Leadership Experience:
3-5 years of Leadership Experience
Certifications:
Relevant technical certifications (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
Other Requirements/Assets:
ITIL Foundation
Read more
Position Overview:
Our entrepreneurial spirit and innovative mindset, combined with the resources and support of The Home Depot Canada, the world's leading home improvement retailer, present a unique opportunity for you to join a transformative retail disruptor. As we strive to deliver the best interconnected shopping experience for our customers, we invite you to become a part of our rapidly growing and highly skilled Analytics team.
In this role, you will handle billions of rows of data from numerous sources, organizing, visualizing, and analyzing them to inform both short- and long-term decision-making, solve problems, and uncover insights. Our team goes beyond generating monthly reports or reusing existing statistical models; we engage in creative work within an empowering environment, with each decision supported by data to enhance various aspects of the customer journey.
We seek dreamers, innovators, and big thinkers who are passionate about data and reimagining the future of retail. Ready to make history with us? Apply today to experience what it’s like to be part of the Analytics team at The Home Depot Canada.
As the Manager, Data Analytics & Data Engineering, you will support the development and delivery of data products, data solutions, and data management analytics. You will work cross-functionally with the Marketing, Digital Media, Digital Content Management, Master Data Management, and Analytics teams.
This role requires a strong understanding of developing efficient data capture and transformation processes across complex data models. You will need to identify business process efficiencies through analytics and have experience operationalizing data-driven products in a self-serve manner for a broad group of stakeholders. You will also contribute thought leadership and serve as a strategic and analytical partner throughout the organization.
Key Responsibilities:
Enable reporting
Develop measurement strategies
Support data pipelines
Automate processes
Proactively apply analytics to measure and improve data quality across the customer experience
Aggregate data to enable reporting and self-serve analytics for various internal teams
Partner with stakeholders to develop and maintain various scorecards, reports, and dashboards
Collaborate with Technology teams for the design, implementation, and maintenance of reliable data pipelines for both structured and unstructured product data
Provide data extraction and insights to a diverse team of specialists and analysts focused on customer experience
Respond to ad hoc requests for analysis, data, and information on a regular basis
Help design and implement efficient data pipelines
Lead a high-performing, high-throughput team of data engineers and analysts, while driving their professional development goals
Competencies:
Collaborates
Action Oriented
Drives Results
Communicates Effectively
Plans and Aligns
Skills:
Strong analytical, influential, interpersonal skills
Organizational skills
Problem-solving and critical thinking skills
Data Analysis
Project and change management
Direct Manager/Direct Reports:
Reports to Senior Manager, Interconnected & Marketing Analytics
Direct reports are a team of Senior Analyst, Data Engineers
Travel Requirements:
Limited
Travel to the stores quarterly
Physical Requirements:
Extended Sitting
Repetitive Tasks
Hybrid Work:
On site 4 days per week
Working Conditions:
Office
Minimum Education:
Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related technical/quantitative field.
Minimum Years of Work Experience:
5+ years of experience in data engineering or a related field.
2+ years of experience in a leadership or management role.
Proficient in SQL, Python, and one or more big data technologies
Familiarity with data warehousing solutions like Redshift, BigQuery, or Snowflake
Minimum Leadership Experience:
3-5 years of Leadership Experience
Certifications:
Relevant technical certifications (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
Other Requirements/Assets:
ITIL Foundation
