Data Driven Risk Analytics Specialist, Motion

Overview

Drive data-driven risk analytics using Celonis process mining for ABB Motion.

Key Responsibilities

• process mining
• use cases
• celonis dev
• user training
• rollout management
• workshops

Tasks

-Work with the data & analytics team and business stakeholders to translate business requirements into technical specifications and identify the data that is required for developments linked to those business requirements. -Develop a methodology to quantify the business and financial potential of each use case. Quantify and report to management on financial impact. -Manage the successful roll-out of the analytics use cases to the end users. -Design, develop, implement, test and validate of use cases (as well as reports and dashboards) in Celonis as per identified business requirements. Perform ongoing monitoring and improvements. Document implementations and build a library of use cases. -Provoke, challenge, and feed the organization with new and innovative ways of detecting and managing outliers, with a focus on risk prevention. -Provide End User Training on the Celonis platform as well as on built analytics and case management functionalities. -Manage Strategic Data/Process Mining developments in Celonis for the Motion Risk & Internal Controls function globally. -Conduct business value workshops with process improvement and business teams using Celonis data to identify process inefficiencies and potential root causes. Qualify opportunities for operational and process improvements.

Requirements

• bachelor's
• process mining
• celonis
• sap
• project management
• six sigma

What You Bring

-Bachelor’s degree (or higher) in Business Informatics, Computer/Information Science, Data Science, Information-oriented economics, Mathematics, Statistics, or a comparable degree. -Minimum 6 years of experience in data & analytics, Process Mining and/or technology consulting with global/international companies. -Strong interest in Data and Process Mining and ability to understand complex data and algorithms. Previous experience on data-driven risk prevention is a plus. -Very strong project management and coordination skills, strong problem solving and decision-making skills with the ability to independently drive projects to a successful conclusion. Lean Six Sigma is a plus. -Several years’ experience and education in Process Mining software (Celonis, UiPath Process Mining, QPR etc.) and preferably AI. Previous hands-on experience with Celonis is key for this role. -Strong analytical skills, ability to extract and map key information and identify deviations and key risk attributes. -Solid understanding of SAP systems as well as other non-ERP systems (e.g. Salesforce, Concur, order management systems…) is a plus. -Strong business acumen and stakeholder management skills with the ability to understand client needs, identify value drivers and deliver impact.

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About Abb

-A global technology leader with a rich history of innovation. -Focuses on electrification, automation, robotics, and digitalization for global industries. -Delivers solutions to improve productivity, energy efficiency, and sustainability. -A key player in sectors like utilities, transportation, manufacturing, and infrastructure. -Notable projects include electrification of rail networks, automation in factories, and energy-efficient grid solutions. -Continues to lead in integrating cutting-edge technologies, combining the digital and physical worlds.

Sector Specialisms