Job Description

POSITION PURPOSE

The Home Depot is always striving to deliver outstanding customer service, drive improvement and develop talent that will grow our business into the future. For individuals who are results oriented and interested in developing leadership skills within a dynamic team-focused environment, we offer our Assurance and Advisory Management Program (AMP). AMP is designed to drive continuous improvement in the Company while developing the career and leadership skills of associates in the program across all major functional areas (e.g., Merchandising, Supply Chain, Store Operations, Finance and IT). The Senior Analyst of Data Analytics will be responsible for executing data intensive project work, providing ah-hoc data request support, and developing and maintaining AMP analytics tools (e.g., automation through robotics, various ongoing analyses, dashboards, etc.). This individual should possess strong data mining skills and be familiar with the programming tools, statistical software and technology used by the AMP team (e.g., SQL, Tableau, Python).

MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES

50% – Execute specified segments of a project

Understand project objectives, meet set deadlines, communicate results and present deliverables for the identified segment

Create sophisticated data collection plans; identify sources of data (operational, financial, industry, etc.); gather, analyze and manipulate data; review data for trends and exceptions and draw sound conclusions; use statistical data tools to graphically display and analyze results

25% – Support AMP staff with ad-hoc data support

Interact with team members across AMP functional areas to understand their requirements and develop solutions to support their data analysis needs to drive efficiency and improved results

Assist with the development and delivery of data analytics training for the department

25% – Develop and maintain AMP analytics tools and ongoing monitors

Utilize robotics to automate testing and analytics (e.g., time & expense fraud monitoring)

Develop and maintain data mining, reporting capabilities and repetitive analytics to support the department

Preferred Qualifications:

• 2-4 years of work experience
• Strong communication and interpersonal skills, ability to work well with others
• Strong quantitative and analytical skills
• Experience with the following tools and technologies: SQL, Tableau, programming language ( Python or SAS), SAP

Knowledge, Skills, Abilities and Competencies:

• Strong quantitative skills with the ability to perform data mining and analysis
• Query and database development skills
• Strong problem solving skills
• Strong project management, time management and organization skills

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