Inventory & Product Operations Analyst — Data-Driven Growth

118-WW TMG MFG OPS; Dallas (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

118-WW TMG MFG OPS is seeking an Inventory and Product Operations Analyst to translate data into strategic actions across inventory, supply chain, and product lifecycle management.

You will partner with manufacturing, sales, and cross-functional teams to build scalable processes and analytical models that improve visibility and enable real-time decision making.

A strong finance or operations background and hands-on data skills are essential in this fast-paced, high-growth environment.

Qualifications

• Bachelor’s degree in Finance, Operations, SCM, Industrial Engineering, Data Science, or related field.
• 2+ years in business operations, supply chain/financial analysis; semiconductor industry a plus.
• Advanced data manipulation/visualization with Excel/VBA, SQL, Tableau or Power BI.
• Root-cause analysis with data-backed recommendations.
• Experience with ERP (SAP, Oracle) and CRM platforms.

Responsibilities

• Own and manage portfolio performance within assigned segments, tracking KPIs and revenue outcomes.
• Develop and maintain analytical models to improve operational visibility for real-time decisions.
• Drive operational readiness for product lifecycles with critical data insights.
• Identify inefficiencies and design scalable processes to support growth.
• Collaborate with manufacturing, sales, and business units to align supply and demand.

Skills

Data analysis

SQL

Excel VBA

Tableau/Power BI

Education

Bachelor’s degree in Finance, Operations, Supply Chain Management, Industrial Engineering, Data Science, or related field

Tools

SAP

Oracle ERP

CRM systems

Job description

118-WW TMG MFG OPS is seeking an Inventory and Product Operations Analyst to translate data into strategic actions across inventory, supply chain, and product lifecycle management.

You will partner with manufacturing, sales, and cross-functional teams to build scalable processes and analytical models that improve visibility and enable real-time decision making.

A strong finance or operations background and hands-on data skills are essential in this fast-paced, high-growth environment.