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Hours Full-time, Part-time
Location San Diego, CA
San Diego, California

About this job

Requisition #3131Select LocationSan Diego,CAFunctional AreaMarketingLine of BusinessFacilities MaintenanceJob TypeFull-TimeMinimum Travel Percentage0-25%Relocation ProvidedNo
Company Overview
With more than 15,000 associates across 600 locations in North America and Canada, HD Supply has become one of the country’s largest industrial distribution companies. HD Supply provides a broad range of products and services to customers in the maintenance, repair and operations, infrastructure, and specialty construction markets. With an active commitment to the communities in which we operate, HD Supply associates are part of a thriving organization that supports the virtues of wellness, diversity and inclusion – all of which are top priorities for the company. Equally as important is empowering our associates to grow professionally while providing competitive benefits and compensation. If you’re ready to find a rewarding career and achieve your full potential with a growing industry leader, HD Supply is ready for you!

Job Summary
Responsible for preparing one or more of the deliverables required for project execution for mid-sized projects which include; data validation use cases, requirements system diagrams and coordination and accountability for business and technical reviews. During the requirements phase of the project, the Analyst will coordinate and meet with IT and the business owners to ensure that business requirements are clearly linked with a data validation and profiling plan.

Major Tasks, Responsibilities and Key Accountabilities
- Works with business users to define data quality problems, redundancies, and inconsistencies and
to document and help resolve data quality problems.
- Coordinates with the business and data warehouse team in matters regarding modifications and enhancements.
- Establishes data profiling and preventative procedures to improve data quality.
- Develops operational controls for the monitoring and detection of data quality issues and develops continuous data quality improvement processes.
- Works with Database Administrator and developers to correct data violations.
- Develops and maintains technical documentation.
- Establishes and maintains standards for data quality.


Nature and Scope
- Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis, techniques by resolving missing/incomplete information, inconsistencies/anomalies in routine research/data.
- Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
- May provide general guidance/direction to or train junior level support personnel.


Work Environment
- Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Typically requires overnight travel less than 10% of the time.


Minimum Qualifications
- Must be eighteen years of age
- Must pass the Drug Test
- Must pass the Background Check
- Must pass pre-employment tests if applicable


Education and Experience
- Typically requires BS/BA in related discipline. Certification may be required in some areas. Generally 0-2 years of experience in related field OR MS/MA and generally 0-1 year of experience in related field.

Preferred Qualifications
- 3-5 years related experience, with strong analytical skills for technical trouble shooting.
- Experience in handling de-duplications.
- Experience in data cleansing methodologies and deploying data cleansing tools.
-
Experience with the following programming / database languages:
- XML
- SQL
- Java Script
- Python
- Ruby

- Data Quality & Validation
- Experience developing data validation rules
- Troubleshooting errors
- Experience developing Data Dictionaries
- Documenting procedures
-

- Applications
- SAP / Oracle / SQL Server / Adobe Campaign (Neolane)



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