Supply Chain Data Analytics Engineer

Position Summary

The Supply Chain Data Analytics Engineer will design, build, and optimize data solutions that empower data-driven decision-making across all supply chain functions. This role partners with Sourcing & Procurement, SIOP, Logistics, and Customer Fulfillment teams to ensure robust analytics, actionable insights, and process automation.

Key Responsibilities

Sourcing & Procurement

• Map, analyze, and document data sources and KPIs related to supplier performance, cost optimization, and procurement cycle times.
• Develop dashboards and automated reports to monitor sourcing effectiveness, compliance, and risk.
• Collaborate with procurement teams to harmonize KPI definitions and ensure data consistency across regions and categories.

SIOP (Sales, Inventory & Operations Planning)

• Integrate data from sales, inventory, and operations to support demand forecasting, inventory optimization, and scenario planning.
• Build and maintain data pipelines that enable real-time visibility into SIOP metrics.
• Support the SIOP process with advanced analytics, predictive modeling, and simulation tools.

Logistics

• Design and implement analytics solutions to track logistics KPIs such as on-time delivery, transportation costs, and warehouse efficiency.
• Automate logistics reporting and alerting using tools like Power Automate and Python.
• Ensure data quality and integrity for logistics operations, collaborating with IT and logistics partners.

Customer Fulfillment

• Develop data models and dashboards to monitor order fulfillment, customer satisfaction, and service levels.
• Analyze fulfillment data to identify bottlenecks and drive continuous improvement.
• Support customer-centric initiatives by providing actionable insights from fulfillment data.

Cross-Functional Responsibilities

• Act as a facilitator between supply chain teams and IT/Data Architecture to align data requirements and solutions.
• Ensure data governance, integrity, and security across all supply chain analytics initiatives.
• Communicate technical findings and insights to non-technical stakeholders in a clear, actionable manner.
• Drive analytics adoption and data literacy within all supply chain functions.

Required Skills & Qualifications

• Experience in data analytics within supply chain, procurement, logistics, or related fields.
• Advanced knowledge of statistics, data modeling, and business intelligence.
• Proficiency in Power BI (including DAX and data modeling), Power Automate, and Python.
• Strong critical thinking, creativity, and results orientation.
• Ability to work collaboratively across multidisciplinary and multicultural teams.
• Excellent communication skills for translating technical insights to business stakeholders.
• Experience with Agile methodologies and Data Storytelling.
• Advanced English, Portuguese is desired.

#Li-Pr1

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.

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 Special.Accommodations@Clarios.com.

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.