Sr. Analyst, Quantitative Research – Orange Apron Media

Position Purpose:

The Senior Analyst in Quantitative Research at Home Depot will utilize various analytical tools to work with online marketing data, uncovering trends and providing insights that enhance our online marketing efforts and support overall business objectives. You will collaborate with multiple teams across departments to research and analyze marketing campaign trends and customer behavior data, identifying opportunities for new marketing initiatives. Additionally, you will integrate and analyze data from diverse external sources to understand the key drivers of performance related to HomeDepot.com’s online objectives

Key Responsibilities:

20% Work with other departments providing analytical insight on business performance.
20% Research and analyze business trends & customer behavior data to identify opportunities for website enhancements.
20% Analyze web analytics data as well as other offline data to evaluate site performance.
10% Work with the Web Analyst to provide weekly Web Analytic dashboards.
10% Takes the lead on new programs and initiatives for Web Analytics Team.
10% Provide web analytics strategy to Specialty Channel.
Direct Manager/Direct Reports:

Reports to Manager
Position has 0 Direct Reports
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.
Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
No travel Required
Minimum Qualifications:

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Responsible for helping others and providing on-the-job training or guidance
Demonstrated business/financial modeling capabilities with tools such as Excel and Access
Demonstrated skills in applying statistical analysis principles to business challenges
Demonstrated communication and interpersonal skills
Demonstrated ability to work well with others
Strong analytical skills with attention to detail; self-starter
Preferred Qualifications:

Technical Proficiency: Expertise in SQL, Python, basic data warehousing and ETL processes
Advanced Analytical Skills: Proficiency in statistical analysis, data mining, and predictive modeling
Problem-Solving Skills: Strong critical thinking and problem-solving abilities to identify trends and insights from complex data sets
Presentation skills
Strong communication skills
Strong people skills
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
Minimum Years of Work Experience:

5
Preferred Years of Work Experience:

No additional years of experience
Minimum Leadership Experience:

None
Preferred Leadership Experience:

None
Certifications:

None
Competencies:

Action Oriented
Collaborates
Drives Engagement
Communicates Effectively
Customer Focus
Drives Results
Manages Conflict