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Job Information

White Cap Product Data Analyst in Orlando, Florida

Company Overview

White Cap Supply Holdings, LLC ("White Cap") serves as a one-stop shop providing concrete accessories and chemicals, tools and equipment, building materials and fasteners, erosion and waterproofing and safety products to professional contractors by meeting their distinct and customized supply needs in non-residential, residential and infrastructure end markets.

White Cap operates nearly 400 branches across the U.S. and Canada with approximately 7,000 employees, and offers nearly 450,000 SKUs to approximately 150,000 customers. White Cap includes the Brafasco and NCA brands in Canada and multiple brands that fall under Construction Supply Group.

White Cap was previously known as HD Supply Construction & Industrial and became an independent company in October 2020.

Job Description & Qualifications

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 and techniques by resolving missing/incomplete information and 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

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

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).

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

Education and Experience

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

Preferred Qualifications & Job Specific Details

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.



Job Locations US-FL-Orlando

Posted Date 2 weeks ago (10/1/2021 9:32 AM)

Job ID 2021-46788

Business Unit Construction Industrial WC

Functional Area Information Technology

Remote Position? No

Position Type Full-Time

White Cap is an Equal Opportunity Minority/Female/Individuals with Disabilities/Protected Veteran and Affirmative Action Employer. White Cap 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.