Sr. Data Analyst - Pro Experience

The Home Depot • Atlanta, DE

83d

About The Position

The Sr Data Analyst will serve as a key role supporting the Home Depot Pro strategic growth initiatives. As part of the Pro Experience team, the Sr Data Analyst will be responsible for owning individual analytical projects and team initiatives that involve analyzing data, designing pilot campaigns, building Tableau dashboards, and communicating findings effectively to partner teams. This role is designed for individuals with advanced analytical skills who can leverage large data sets to drive actionable insights. The ideal candidate possesses a strong understanding of data visualization tools and statistical analysis techniques, demonstrating the ability to work independently as well as collaboratively within cross-functional teams.

Requirements

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

Nice To Haves

• 2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
• An intermediary understanding of SQL joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language such as Python.
• Experience building reports/analyses with analytical tools (e.g. Excel, Tableau, etc.).
• Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.).
• B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.
• Work experience with Google BigQuery.

Responsibilities

• Establish reporting standards and best practices.
• Architect and implement a reporting framework.
• Oversee data mining efforts.
• Develop programs, methodologies, and files for analyzing and presenting data.
• Collaborate with stakeholders, developers, UX designers and end-users to determine requirements.
• Data analysis, development of SQL scripts, stored procedures & triggers, and report generation.
• Develop programs, methodologies, and files for analyzing and presenting data.
• Data Cleansing/validation.
• Prepare data load scripts for mass data load from various data sources.
• Use of varied database applications/analytical tools.
• Enhancements/modifications to systems and procedures.

What This Job Offers

• Job Type: Full-time
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees