Senior Analyst, Operational Reporting - Orange Apron Media

at  Home Depot THD

TRAVEL REQUIREMENTS:

• Typically requires overnight travel less than 10% of the time.

PHYSICAL REQUIREMENTS:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

MINIMUM QUALIFICATIONS:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

PREFERRED QUALIFICATIONS:

• Master’s degree in Analytics, Finance, or Information Systems or related field is preferred
• Two to four years of experience in analytics is preferred
• Experience in SQL, SAS, Tableau, R, python and similar tools preferred

MINIMUM EDUCATION:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.

PREFERRED EDUCATION:

• No additional education

PREFERRED YEARS OF WORK EXPERIENCE:

• No additional years of experience

MINIMUM LEADERSHIP EXPERIENCE:

• None

PREFERRED LEADERSHIP EXPERIENCE:

• None

POSITION PURPOSE:

The Senior Analyst Operational Reporting position assists in the development of advanced analytics to support the company’s strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross-functional teams to deliver high quality analytical solutions for The Home Depot. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights, with a passion to learn and develop.

KEY RESPONSIBILITIES:

• 15% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions
• 65% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python
• 10% Data cleansing, validation, testing
• 5% Enhancements / modifications to systems & procedures
• 5% Supporting end users, problem solving, troubleshooting