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Data Driven Risk Analytics Specialist, Motion
Abb
Develop and implement data-driven risk analytics and process mining solutions using Celonis.
7d ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Bengaluru, Karnataka, India
Office Full-Time
Company Size
105,000 Employees
Service Specialisms
Engineering
Consulting
Project Management
Design
Technical Services
Turnkey
Sector Specialisms
Industrial
Energy
Infrastructure
Buildings
Residential
Commercial
Water Resources
Heavy Civil
Role
What you would be doing
outlier detection
financial modeling
technical specs
celonis development
use‑case rollout
process mining
- Provoke, challenge, and feed the organization with new and innovative ways of detecting and managing outliers, with a focus on risk prevention.
- Develop a methodology to quantify the business and financial potential of each use case. Quantify and report to management on financial impact.
- 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.
- 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.
- Manage the successful roll-out of the analytics use cases to the end users.
- Provide End User Training on the Celonis platform as well as on built analytics and case management functionalities.
- 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.
- Manage Strategic Data/Process Mining developments in Celonis for the Motion Risk & Internal Controls function globally.
What you bring
celonis
sap
six sigma
process mining
project management
bachelor's
- 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.
- Solid understanding of SAP systems as well as other non-ERP systems (e.g. Salesforce, Concur, order management systems…) 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 business acumen and stakeholder management skills with the ability to understand client needs, identify value drivers and deliver impact.
- 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.
- Strong analytical skills, ability to extract and map key information and identify deviations and key risk attributes.
- Bachelor’s degree (or higher) in Business Informatics, Computer/Information Science, Data Science, Information-oriented economics, Mathematics, Statistics, or a comparable degree.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
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Security clearanceInformation not given or found
Company
Overview
Founded 1883
Year established
The company was established in 1883, marking the beginning of its journey as a global technology leader.
- 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.
- Customer orientation
- Innovation
- Collaboration
- Sustainability
- Integrity
- Accountability
2050
Net Zero Commitment
Aim to achieve net zero carbon emissions across operations and supply chain.
- Sustainability at the core of business model
- Reduction of CO2 emissions in operations and supply chain
- Committed to renewable energy
- Energy efficiency solutions for customers
- Increased use of recycled materials in products
- Support for the UN Sustainable Development Goals
24% Women Leadership
Gender Diversity in Leadership
Percentage of leadership positions held by women in the organization.
30% Target by 2025
Target Goal for Women
Aim to increase women in leadership roles to 30% by 2025.
- Partnerships with global organizations to promote inclusion
- Focused efforts on empowering women in technical fields
- Promotion of a culture of respect and equal opportunity
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