Robotics Global Analytics Audit Manager

Posted 2 Days Ago
Be an Early Applicant
3 Locations
Remote or Hybrid
67K-67K Annually
Expert/Leader
Robotics • Analytics • Energy
The Role
Leads analytics for operational, financial, and compliance audits within ABB Robotics’ internal audit function. Prepares and validates complex datasets, develops repeatable analytics to identify anomalies and control weaknesses, documents methods and results, validates findings, and communicates insights through dashboards and reports. Supports AI-enabled audit processes and automation. Requires extensive data analytics or data science experience, strong Python and SQL skills, statistical expertise, cloud data platform experience, and the ability to translate audit risks into analytical requirements.
Summary Generated by Built In

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.

This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing.  By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment.

This Position reports to:

Head of Internal Audit


 

This role sits within the ABB Robotics Global Internal Audit function and works closely with key stakeholders across Data Analytics, IS, Finance, Business Transformation, and the broader business.


The work model for the role is: #LI-Hybrid


You will be mainly accountable for:

  • Obtaining and preparing data in collaboration with the Data Analytics team, addressing data-accuracy and completeness issues before further analysis.
  • Developing and executing repeatable analytics to support operational, financial, and compliance audits, identifying anomalies, patterns, and potential control weaknesses.
  • Documenting analytical methods, assumptions, limitations, and results to ensure analyses are traceable, reproducible, and suitable for use as audit evidence.
  • Validating analytical results with audit teams and business stakeholders, and communicating insights clearly through visualizations (dashboards) and concise reporting.
  • Support the development of AI-enabled audit processes, including the automation of audit programs and testing activities

Our team dynamics

You will join a talented, truly international team, where you will be able to thrive.


Qualifications for the Role 

  • A degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Finance, or a related field.
  • At least 10 years of relevant experience in data analytics or data science, preferably within Internal Audit, risk, controls, or a comparable assurance environment.
  • Strong proficiency in Python and SQL, with experience preparing, validating, and analyzing complex datasets.
  • A sound understanding of statistical and analytical methods, including clustering, forecasting, and classification.
  • Experience translating business risks and audit questions into analytical requirements, and explaining technical results to non-technical stakeholders.
  • Experience working with data lakes or cloud data platforms, and visualization tools such as Power BI, Tableau, or equivalent.
  • Strong problem-solving, communication, and stakeholder-management skills, with the ability to work independently.
  • Fluency in written and spoken English.

Additional experience that would be an advantage:

  • Snowflake and Azure Data Factory.
  • Machine-learning tools and techniques, such as XGBoost, LightGBM, and k-means.
  • Streamlit or similar tools for presenting analytical results.
  • Practical application of AI to analytics or audit activities.
  • A relevant master’s degree or postgraduate qualification.


Compensation Package 


For Candidates based in Italy:

As part of our commitment to transparency, we want to share the compensation details for this position:

Applicable CBA: Metalmeccanico  

Minimum annual salary: €67.000

Variable Pay: Eligible for Company Productivity Bonus


Benefits as per policy

Flexible working hours, hybrid work options, and a strong focus on work-life integration and Wellbeing support for employees and their families

Welfare plan with a wide range of personalized services

Canteen or meal vouchers provided      


The offer will be tailored based on your role location, experience, skills and qualifications, internal market positioning and alignment with ABB internal standards. 

       

Join us. Be part of the team where progress happens, industries transform, and your work shapes the world. 
Run What Runs the World.  

We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

Skills Required

  • Degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Finance, or a related field
  • At least 10 years of relevant experience in data analytics or data science, preferably in Internal Audit, risk, controls, or a comparable assurance environment
  • Strong proficiency in Python and SQL
  • Experience preparing, validating, and analyzing complex datasets
  • Understanding of statistical and analytical methods, including clustering, forecasting, and classification
  • Experience translating business risks and audit questions into analytical requirements
  • Ability to explain technical results to non-technical stakeholders
  • Experience with data lakes or cloud data platforms
  • Experience with visualization tools such as Power BI, Tableau, or equivalent
  • Strong problem-solving, communication, and stakeholder-management skills
  • Ability to work independently
  • Fluency in written and spoken English
  • Experience with Snowflake and Azure Data Factory
  • Experience with machine-learning tools and techniques such as XGBoost, LightGBM, and k-means
  • Experience with Streamlit or similar tools for presenting analytical results
  • Practical application of AI to analytics or audit activities
  • Relevant master’s degree or postgraduate qualification

ABB Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
  • Leave & Time Off Breadth — Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
  • Retirement Support — Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.

ABB Insights

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The Company
HQ: Zürich
104,000 Employees
Year Founded: 1988

What We Do

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com

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