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Supply Chain Data Expert

ABB

Supply Chain Data Expert

ABB

2 Locations

·

On-site

·

Full-time

·

5d ago

Required Skills

Data Analytics

SAP MM

Power BI

Data interpretation

Communication

Presentation

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

Procurement Manager

__

As a Global Procurement Supply Chain Data Expert, you will be the primary point of contact for global reporting, monitoring, and KPI management within Global Procurement. By leveraging advanced analytics and standardized dashboards, you will enable transparency, and support data-driven procurement decisions on a global scale.

Core responsibilities:

  • Establish and continuously develop gold-standard reporting and monitoring to ensure transparency and enable data-driven decision-making across the supply chain

  • Collect, analyze, interpret, and continuously monitor supply chain and procurement data across low to high levels of complexity

  • Design, implement, and maintain global, easy-to-use standard dashboards (e.g., in Power BI) serving as a single source of truth

  • Define, further develop, and track KPIs to effectively steer supply chain and procurement performance

  • Assess, harmonize, and consolidate existing ABB and B&R data sources, reports, and dashboards

  • Ensure high data quality and actively contribute to data governance and continuous improvement initiatives

  • Prepare, visualize, and communicate reports to relevant internal stakeholders; standardize and automate recurring reports

  • Represent Global Procurement in cross-functional projects as a technical data expert; consolidate and provide data in the required format, structure, and quality

Key requirements:

  • Several years of professional experience in Data Analytics, Procurement, Supply Chain, or Information Systems, combined with a strong technical understanding

  • Completed higher commercial or technical education (e.g., Industrial Engineering, Business Informatics, Data Science, or a comparable field) is preferred but not mandatory

  • Solid foundation and hands-on experience with SAP MM and Power BI

  • Exceptional analytical skills with the ability to compile, structure, analyze, and present large and complex data sets with accuracy and attention to detail

  • Strong capability to critically evaluate data and translate it into meaningful, actionable business insights

  • Excellent communication and presentation skills, with the ability to simplify complex data topics for non-technical audiences

  • Strong English communication skills; proficiency in German is an advantage

  • Open-minded, eager-to-learn, and resilient mindset, with a proactive and solution-oriented approach

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit

https: //www.abb.com to learn more about the impact of our solutions across the globe.

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About ABB

ABB

ABB

Public

ABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.

10,001+

Employees

Zurich

Headquarters

Reviews

3.5

3 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Award ceremonies and achievement recognition

Professional experience opportunities

Relevant marketing and writing experience

Cons

Awards only recognize sales and leadership teams

Auxiliary departments excluded and understaffed

No cost of living raises provided

Salary Ranges

405 data points

Mid/L4

Senior/L5

Mid/L4 · Project Manager

102 reports

$117,433

total / year

Base

$109,179

Stock

-

Bonus

$8,254

$79,130

$175,443

Interview Experience

5 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Offer Rate

20%

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

System Design/Panel Interview

5

Onsite/Final Round

6

Offer Decision

Common Questions

Technical Knowledge

System Design

Behavioral/STAR

Past Experience

Problem Solving