Data Analytics Specialist

Preferred Qualifications:

• Advanced SQL/Snowflake experience, including complex query development, performance optimization, data transformation, and analysis of large-scale datasets.

• Proficiency with Tableau to build dashboards, reporting, and visualizations that drive business decision-making.

• Experience supporting Supply Chain Operations , including inventory, logistics, transportation, fulfillment, forecasting, or distribution analytics.

• Proven ability to identify trends, uncover opportunities, and deliver actionable insights that improve operational performance.

• Strong communication skills with the ability to translate complex data into clear recommendations for business stakeholders.

Job Summary

Responsible for creating solutions for business problems using data mining and analytics. Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including marketing, sales and supply chain.

Major Tasks, Responsibilities, and Key Accountabilities

• Collaborates with internal and external stakeholders to manage data logistics, including data transfers, data structures, and business rules to enable project execution.

• Utilizes data modeling/analysis techniques to mine systems and applications for knowledge and information that supports the enhancement of business processes.

• Builds, deploys, and maintains data support tools, metadata inventories and definitions for database file/table creation.

• Provides analytical solutions to business problems Reviews quality assurance/quality control data and project output for accuracy.

• Creates compelling presentations that provide actionable insights and recommendations.

• Participates in reporting presentations to key internal and external stakeholders. Communicates key findings and recommendations.

• Manages multiple projects concurrently and prioritizes and monitors project timelines and scopes.

Nature and Scope

• Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data.

• Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process.

• May provide general guidance/direction to or train junior level support or professional personnel.

Work Environment

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

• 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.

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

Education and Experience

• Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.

Our Goals for Diversity, Equity, and Inclusion

We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.

Equal Employment Opportunity

HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

HD Supply is an Equal Opportunity Minority/Female/Individuals with Disabilities/Protected Veteran and Affirmative Action Employer. HD Supply considers for employment and hires qualified candidates without regard to age, race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law.