Item Data Management Expert

TVH Group

Olathe (KS)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Medical coverage
401(k) match up to 6%
Onsite health clinic
Full‑service restaurant
Onsite gym
Professional development opportunities

Job summary

TVH Group is seeking an Item Data Management Expert in Olathe, KS. The successful candidate will manage and audit complex clusters of item master data, ensuring accuracy and guiding the maintenance team through data discrepancies.

Applicants should have a Bachelor’s Degree in a relevant field and 3–5 years of experience in data management, with strong SQL and Excel skills. Benefits include medical coverage, 401(k) match, and professional development opportunities.

Qualifications

  • 3–5 years of experience in data maintenance, master data management, or technical data coordination role.
  • Proven track record managing clusters of data and interacting with cross‑functional teams.
  • Strong communication skills for non‑technical stakeholders and executives.

Responsibilities

  • Manage and audit complex clusters of item master data.
  • Act as escalation point for the maintenance team.
  • Develop and execute SQL/BigQuery scripts for data insights.
  • Design and execute testing scenarios for data integrity.

Skills

Data maintenance
Master data management
Technical data coordination
SQL
BigQuery
Microsoft Excel
Supply chain concepts
Attention to detail

Education

Bachelor’s Degree in Business, Data Analytics, Supply Chain, or related field

Tools

SQL
BigQuery
Microsoft Excel

Job description

Item Data Management Expert – Full‑time. Location: Olathe, KS 66062

Responsibilities
  • Manage and audit complex clusters of item master data unique to the TVH Americas context to ensure accuracy.
  • Act as escalation point for the maintenance team and perform deep‑drive analyses into data discrepancies, architecting permanent fixes rather than temporary patches.
  • Develop and execute SQL/BigQuery scripts to retrieve technical information and coordinate with BI and Data Engineering teams to create actionable data insights.
  • Represent the data team in meetings with departmental leadership, communicating project progress, explaining data outcomes, and providing insights to support high‑level decision‑making.
  • Design and execute testing scenarios, including regression tests, to validate that system changes or bulk uploads haven’t compromised data integrity.
  • Serve as the technical guide for Level I professionals and Data Entry Admins, sharing best practices on tooling and optimizing their daily workflows.
  • Identify bottlenecks in ingest, enrichment, and cleansing processes, suggesting and implementing automated or improved workflows.
Qualifications and Experience
  • Bachelor’s Degree in Business, Data Analytics, Supply Chain, or a related field; or equivalent combination of education and experience.
  • 3–5 years of experience in data maintenance, master data management, or technical data coordination role.
  • Proven track record managing clusters of data and interacting with cross‑functional teams (Sales, Purchasing, IT).
  • SQL or BigQuery skills required; comfortable writing queries to join tables, filter data, and extract insights.
  • Advanced proficiency in Microsoft Excel (VLOOKUPs, Pivot Tables, etc.) and experience with ERP business systems.
  • Strong communication skills, translating technical data findings into clear, actionable summaries for non‑technical stakeholders and executives.
  • Solid understanding of supply chain and purchasing concepts and how item data affects the broader business.
  • Attention to detail and investigative mindset to uncover root causes of data errors.
Benefits

Medical, dental, and vision coverage; onsite health clinic; 401(k) match up to 6%; onsite preschool; full‑service restaurant; onsite gym; regular team events; professional development opportunities including LinkedIn Learning and in‑house/external training programs.

TVH is an Equal Opportunity Employer. TVH will not discriminate against applicants based on race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, genetic information, or because they are an individual with a disability or a person 40 years old or older.

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