Data & Analytics Specialist

Schaeffler

Wooster (OH)

On-site

USD 70,000 - 100,000

Full time

4 days ago
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Benefits offered by this job

Healthcare coverage
401(k) plan
Schaeffler Academy
Wellness programs

Job summary

Schaeffler is seeking a data-focused professional to consolidate requirements, model data, and implement concepts to improve data processes within the production and logistics domain.

You will work with ERP systems (SAP R/3/S/4HANA) and support manufacturing planning, logistics, and data governance across global standards. Collaboration with stakeholders will be essential for successful rollouts and user training.

Qualifications

  • Bachelor's degree in Industrial Engineering, Logistics, or a technical field.
  • 3–5 years of experience in production planning, logistics, supply chain or process optimization.
  • Hands-on experience with ERP systems, ideally SAP R/3 or S/4HANA, and planning/logistics systems.
  • Strong analytical skills to consolidate, interpret, and act on complex data sets.
  • Knowledge of Lean, Six Sigma or continuous improvement methodologies.
  • Willingness to work near manufacturing and logistics equipment to support ops.

Responsibilities

  • Consolidate requirements, develop data concepts, analyze and report on data for the assigned domain.
  • Gather business needs and develop data models to meet information requirements.
  • Propose IT systems and concepts to improve data-related processes.
  • Consolidate data rules, extract and enrich data, and address data quality issues.
  • Build or configure reports and analytical tools to generate insights from data.

Skills

Data analysis
ERP systems
Lean Six Sigma
Stakeholder support

Education

Bachelor's degree in Industrial Engineering

Tools

SAP S/4HANA

Job description

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.

Your Key Responsibilities
  • Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.
  • Gather and evaluate business needs with respect to data and develop data models that best meet the information requirements.
  • Develop and implement concepts for improving data-related processes, and recommend appropriate IT systems for utilization.
  • Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues.
  • Build or configure reports and analytical solutions to generate additional information from data based on given toolsets.
  • Enable and support stakeholders in the data network and share guidelines, standards and best practices with the organization.
  • Support the planning, rollout, and adoption of S4 HANA and related applications.
  • Implement IT systems and tools that enhance planning, logistics, and supply chain processes.
  • Create and maintain logistics and planning master data in alignment with global standards.
  • Participate in regional and local S4 HANA team meetings, providing insights and feedback from the manufacturing plants.
  • Work directly within manufacturing and logistics environments to understand system impact and operational needs.
  • Train end users on S4 HANA and related systems, promoting consistent standards and best practices.
  • Enable and support stakeholders within the larger data network, sharing knowledge and fostering adoption
Your Qualifications
  • Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study
  • 3 to 5 years experience overall with proven experience in production planning, logistics, supply chain management, or process optimization.
  • Hands-on experience with ERP systems, ideally SAP R/3 or S/4HANA, and manufacturing planning/logistics systems.
  • Strong analytical skills with the ability to consolidate, interpret, and act on complex datasets.
  • Ability to apply systematic approaches and continuous improvement methodologies (Lean, Six Sigma, etc.).
  • Comfortable working near manufacturing and logistics equipment as needed to support operational processes.
  • Applicants must be authorized to work in the US without employment VISA or other sponsorship.
Our Offering

At Schaeffler, our success is driven by our employees. We value what you bring to our business, which is why we are committed to providing you with a competitive, comprehensive benefits program that gives you and your family the care you need to lead healthy, productive lives. This includes amongst others the following:

  • Comprehensive healthcare coverage: Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their well-being and peace of mind.
  • Generous retirement savings options: The company provides competitive 401(k) matching contributions (up to 6%), empowering employees to build a secure financial future.
  • Professional development opportunities: The company invests in its employees' growth by offering skill development workshops, and ongoing learning and developmentprograms. Through our Schaeffler Academy you will have access to a state-of-the-art and comprehensive learning and training offering.
  • Wellness initiatives: Employees have access to wellness programs and resources aimed at promoting physical, mental, and emotional health, fostering a supportive and thriving work environment.

See all of our benefit offerings at https://schaefflerbenefits.com/

We look forward to your application.

Schaeffler is an equal employment opportunity / affirmative action employer. All qualified candidates will receive equal employment opportunities and consideration for employment without regard to unlawful consideration of race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, protected veteran status, or any other status protected by applicable law.

Keywords: Digitalization & Information Technology;

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