Data Analytics Specialist

HD Supply•Atlanta, GA

21h

About The Position

The Data Analytics Specialist creates solutions to business problems using data mining and analytics. The role applies analytical techniques to uncover patterns and trends, then uses data visualizations to share actionable, implementable insights with business partners, including marketing, sales, and supply chain. The position works with internal and external stakeholders, supports multiple concurrent projects, and may provide general guidance or training to junior personnel. The work is based in a comfortable indoor environment. Most of the time is spent sitting, with frequent opportunities to move around; occasionally, the role may require moving or lifting light articles. Overnight travel is typically less than 10% of the time.

Requirements

Bachelor’s degree in Supply Chain, Finance, Analytics, Engineering, or a similar discipline; the posting also states that the role typically requires a BS/BA in a related discipline.
1–2 years of analyst experience is listed in the opening qualifications.
Typically, 2–5 years of experience in a related field with a BS/BA, or 2–4 years with an MS/MA.
SQL/Snowflake.
Advanced Excel.
Benefit modeling experience.
Supply chain experience.
Tableau.
Python is listed as desired.

Nice To Haves

Python.

Responsibilities

Collaborate with internal and external stakeholders to manage data logistics, including data transfers, data structures, and business rules, to enable project execution.
Use data modeling and analysis techniques to mine systems and applications for information that supports business-process improvements.
Build, deploy, and maintain data support tools, metadata inventories, and definitions for database file and table creation.
Provide analytical solutions to business problems.
Review quality assurance and quality control data and project output for accuracy.
Create presentations that provide actionable insights and recommendations.
Participate in reporting presentations to internal and external stakeholders and communicate key findings and recommendations.
Manage multiple projects concurrently and prioritize and monitor project timelines and scopes.
Resolve missing or incomplete information and inconsistencies or anomalies in complex research and data.
May provide general guidance or direction to, or train, junior-level support or professional personnel.