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Salary
≈ $64k – $120k per year (Estimated)
Location
In office (Gray Court)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026. ZF Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
ZF Group is a global technology company and one of the world's largest automotive suppliers, headquartered in Friedrichshafen, Germany. The company specializes in integrated systems for mobility, providing advanced driveline and chassis technology, e-mobility solutions, and automated driving software. Operating across passenger cars, commercial vehicles, and industrial sectors worldwide, it focuses on shaping sustainable and safe transportation for the future.
Backed by YES!Delft

Req ID 92343 | Gray Court, United States ZF Transmissions Gray Court, LLC

Long Description

About the team:

The Smart Factory Data Analyst develops and maintains data-driven solutions that improve manufacturing performance and support Smart Factory and Industry 4.0 initiatives.

What you can look forward to as Smart Factory Data Analyst :

  • Design, develop, and maintain business-intelligence solutions, dashboards, reports, data models, and analytical tools for manufacturing and support functions using SQL, Microsoft Power BI, Python, and related technologies.
  • Extract, combine, transform, and analyze data from MES, ERP, quality, maintenance, databases, APIs, files, connected equipment, and other relevant sources.
  • Define and implement data-validation, reconciliation, and quality controls to ensure data completeness, consistency, accuracy, freshness, and traceability; investigate discrepancies and coordinate corrective actions with process owners and IT.
  • Translate operational and business requirements into data specifications, KPI definitions, visualizations, and actionable insights covering production performance, quality, downtime, productivity, and cost drivers.
  • Document data sources, transformation logic, KPI definitions, assumptions, access concepts, and user instructions while applying applicable data-governance, cybersecurity, Production IT Security, and quality-management requirements.
  • Coordinate testing, user acceptance, deployment, training, operational handover, and ongoing performance monitoring for new or enhanced data products.
  • Apply basic project-management methods to define scope, deliverables, milestones, responsibilities, risks, priorities, and status; coordinate smaller analytics and digitalization initiatives and contribute work packages to larger programs.
  • Communicate findings and recommendations to technical and non-technical stakeholders and identify opportunities to standardize and replicate successful solutions across comparable production environments / Contribute to the plant Smart Factory and data analytics roadmap and perform other duties as assigned.

Your Profile as Smart Factory Data Analyst:

  • Bachelor’s degree in IT, Data Analytics, Computer Science, Business Intelligence, Engineering, Industrial Engineering, or related field, with 3+ years of relevant professional experience.
  • 3+ years of experience in data analytics, business intelligence, Manufacturing IT, Smart Factory, digitalization, or similar analytical roles.
  • Hands-on experience with SQL, Microsoft Power BI, and Python for data extraction, transformation, modeling, validation, reporting, automation, and analysis.
  • Strong understanding of relational data, joins, keys, data types, transformation logic, and data-quality principles including accuracy, consistency, reconciliation, and traceability.
  • Ability to translate manufacturing and business requirements into data models, dashboards, KPIs, visualizations, and decision-support solutions.
  • Experience analyzing manufacturing data and KPIs such as OEE, downtime, cycle time, scrap, quality, productivity, and cost performance.
  • Experience with enterprise data platforms and manufacturing systems such as SQL Server, Azure SQL, Databricks, Snowflake, SAP, MES, APIs, and ETL/ELT pipelines; advanced Power BI/DAX/Power Query knowledge preferred.
  • Nice to have: Knowledge of project management, data governance, Power Platform, industrial data integration, Lean/Continuous Improvement, IATF 16949 and effective collaboration with Production, Engineering, Quality, Maintenance, Controlling, and IT teams.

Why to choose ZF at Gray Court, SC:

  • Annual Incentive Plan
  • Paid Vacation
  • 401k Plan
  • Health Care Benefits

Be part of our ZF team as IT Analyst II Databs/Storg and apply now!

Contact

Monica Chavez Sanchez

+52 722 276 9817

DIVERSITY COMMITMENT:

Diversity, Equity and Inclusion are more than just words for us. They are at the core of the ZF Way that propels our team members towards their utmost success. We strive to build and nurture a culture where inclusiveness is a natural reflex. We actively seek ways to remove barriers so that every member of ZF can rise to their full potential. We aim to embed this in our legacy through how we operate and build our products as we shape next generation mobility, safety, sustainability and social justice.

With four generations across 118 nationalities in 41 countries, ZF combines a unique variety of backgrounds, perspectives, and ideas. Together, we solve problems, drive innovation and shape next generation mobility.

Our company is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with us and are in need of accommodation or special assistance to navigate our website or to complete your application, please contact us. Requests for reasonable accommodation will be considered on a case-by-case basis. ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Equal Employment Opportunity/Affirmative Action Employer M/F/Disability/Veteran

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