Data Analyst II

DivIHN Integration•Fort Worth, TX
•Onsite

About The Position

The Data Analyst II works closely with supply chain planners and cross-functional teams to manage, clarify, and create data based on business process requirements for new and changed data. The role serves as a subject matter expert for various master data elements, maintains data integrity, performs data cleansing, and contributes to process improvement projects related to data quality and analysis. The candidate is expected to build trustworthy relationships with business leaders and coworkers, deliver quality work within established timeframes, and demonstrate self-motivation, attention to detail, leadership, and the ability to prioritize multiple tasks in a multifunctional team environment. This is a six-month opportunity located in Fort Worth, Texas, with a Monday–Friday schedule from 7 AM to 3 PM. Only W2 candidates are eligible; third-party and C2C candidates will not be considered.

Requirements

  • High personal and professional integrity and work ethic.
  • Attention to detail and precision.
  • Excel data and reporting skills.
  • Analytical skills.
  • Strong communication skills.
  • At least 1 year of experience in Planning, Procurement, Warehouse, Logistics, Customer Service, QA, and/or Manufacturing.
  • Demonstrated ability to manage and manipulate data in various business systems or analytics applications.
  • High school diploma or GED.

Nice To Haves

  • Bachelor of Arts or Bachelor of Science degree preferred.
  • SAP master data management experience.
  • LEAN or Six Sigma experience.
  • Experience with Power BI.
  • Interest in supply chain management careers.

Responsibilities

  • Work with data owners to load and maintain high-quality data, including removing duplicates, completing incomplete data, correcting format errors, and identifying overlapping data ownership.
  • Follow business processes and policies for data collection and upload data into systems to maintain data quality and support business processes.
  • Define and clarify data definitions, process flows, and policies with functional data owners.
  • Update master data element definitions and review data entry processes as needed to support business needs.
  • Lead small process improvement or data analysis projects and participate in larger projects.
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