Analytics Engineer Jobs in Atlanta, GA

Job Summary

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

Major Tasks, Responsibilities, and Key Accountabilities

- Partners with internal and external stakeholders to develop and manage data logistics, including data transfers, data structures, and business rules to enable project execution.
- Oversees the utilization of data modeling/analysis techniques to mine systems and applications for knowledge and information that support the enhancement of business processes.
- Builds, deploys, and maintains data support tools, metadata inventories and definitions for database file/table creation.
- Deploys analytical solutions to business problems. Reviews quality assurance/quality control data and project output for accuracy.
- Presents findings to key internal and external stakeholders. Communicates key findings and recommendations.
- Creates compelling presentations that provide actionable insights and recommendations.
- Manages multiple projects concurrently and prioritizes and monitors project timelines and scopes.

Nature and Scope

- Identifies key barriers/core problems and applies problem solving skills in order to deal creatively with complex situations. Troubleshoots and resolves complex problems. Makes decisions under conditions of uncertainty, sometimes with incomplete information, that produce effective end results.
- Independently performs assignments with instruction limited to the expected results. Determines and develops an approach to solutions. Receives technical guidance only on unusual or complex problems or issues.
- May oversee the completion of projects and assignments, including planning, assigning, monitoring and reviewing progress and accuracy of work, evaluating results, etc. Contributes to employees' professional development but does not have hiring or firing authority.

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.

BASIC QUALIFICATIONS

- Data science/Statistics background
- Bachelor's or Master's in STEM fields - programs include Analytics, IT, Computer Science, Statistics, Math, Engineering
- Proficiency in SQL, Python, R and Data Engineering
- 5+ years experience minimum

Education and Experience

Typically requires BS/BA in a related discipline. Generally 5-8 years of experience in a related field OR MS/MA and generally 3-5 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.