The OEX Intelligence Engineer is responsible for driving data-driven decision-making across the plant by leveraging advanced analytics, visualization tools, and digital solutions. This role identifies opportunities to improve OEE and GCC performance, supports Operational Excellence initiatives, and promotes a culture of continuous improvement through actionable insights and data enablement.
What You Will Do- Execute advanced analytics projects focused on improving OEE and GCC performance.
- Develop dashboards, reports, and visualization tools to support operational and strategic decisions.
- Generate descriptive, diagnostic, predictive, and real-time insights from manufacturing data.
- Analyze large data sets to identify trends, correlations, patterns, and improvement opportunities.
- Lead workshops and cross-functional problem-solving activities using data-driven methodologies.
- Support the plant digitalization roadmap through analytics and data integration initiatives.
- Collaborate with Production, Quality, Engineering, and Operations teams to solve business challenges.
- Train and coach employees on data visualization tools, analytics, and effective use of data.
- Support Daily Management System (DMS) processes through reporting, analytics, and data storytelling.
- Promote Operational Excellence tools and continuous improvement initiatives throughout the plant.
- Ensure data integrity, security, and governance standards are maintained.
- Provide analytical support and recommendations to plant leadership.
- Strong analytical and problem-solving capabilities.
- Experience working with large and complex data sets.
- Knowledge of SQL, Hadoop, Spark, and database management.
- Proficiency in Python, Scala, or similar programming languages.
- Experience with Business Intelligence and data visualization tools.
- Knowledge of Machine Learning and Big Data technologies.
- Ability to transform data into actionable business insights.
- Effective communication and storytelling skills.
- Ability to influence stakeholders and drive a data-driven culture.
- Experience in manufacturing, continuous improvement, or Operational Excellence environments.
- Strong collaboration skills and ability to work with cross-functional teams.
- Analytical Thinking
- Problem Solving
- Continuous Improvement
- Results Orientation
- Communication
- Collaboration
- Leadership
- Innovation
- Customer Focus
- Attention to Detail
- Adaptability
- Time Management
- Coaching and Mentoring
Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, Applied Mathematics, or a related field.
Experience- Previous experience in Data Analytics, Data Science, Business Intelligence, or related analytical roles.
- Experience developing analytics solutions that support operational or business performance improvements.
- Advanced English proficiency.
About Clarios:
Clarios is the global leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus – advancing best-in-class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. You can find more information here (PDF).
To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
Equal Employment Opportunity:
Clarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non-discrimination. If you are an individual with a disability and you require an accommodation during the application process, please email [email protected].
A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.
Skills Required
- Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, Applied Mathematics, or related field
- Previous experience in Data Analytics, Data Science, Business Intelligence, or related analytical roles
- Experience developing analytics solutions that support operational or business performance improvements
- Experience working with large and complex data sets
- Knowledge of SQL, Hadoop, Spark, and database management
- Proficiency in Python, Scala, or similar programming languages
- Experience with Business Intelligence and data visualization tools
- Knowledge of Machine Learning and Big Data technologies
- Advanced English proficiency
- Experience in manufacturing, continuous improvement, or Operational Excellence environments
Clarios Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarios and has not been reviewed or approved by Clarios.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, with multiple medical plan options plus dental and vision, and eligibility starting on the first day in the U.S. Coverage is also described as including mental-health resources, virtual care, and fertility treatment options.
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Retirement Support — Retirement support is framed as competitive through a 401(k) match structure that is explicitly defined (full match on the first portion of contributions and partial match on the next tier). Vesting expectations are noted as something to confirm, implying the benefit is meaningful but plan specifics can vary.
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Parental & Family Support — Parental leave is described as clearly defined and fully paid for a set duration, including distinctions by delivery type. Family-oriented elements also include adoption-related benefits and dependent eligibility framed as inclusive.
Clarios Insights
What We Do
Clarios creates the most advanced battery technologies for virtually every type of vehicle. We are a global leader in advanced energy storage solutions, powering one in three of the world’s vehicles. We produce more than 150 million batteries – one-third of the industry’s output – every year, and we continue to build and expand our capacity to meet our customer’s future demand.
