Robotics Global Analytics Audit Manager

ABB

. Obtain and prepare data in collaboration with the Data Analytics team, addressing data-accuracy and completeness issues before further analysis.

Posted 10/23/2026full-timeSesto San Giovanni • ItalySeniorLead💰 €67,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and data science, with strong proficiency in Python and SQL for preparing and analyzing complex datasets. Capable of translating business risks into analytical requirements and communicating insights effectively to stakeholders.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyData Visualization (Power BI, Tableau)Statistical Methods (Clustering, Forecasting, Classification)Data Analytics Experience (10+ Years)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PreparationData ValidationAnalytical MethodsMachine Learning Techniques (XGBoost, LightGBM, K-Means)AI Application in Analytics

Soft Skills

Problem-SolvingCommunicationStakeholder ManagementIndependent Work

Tools & Technologies

Data LakesCloud Data PlatformsSnowflakeAzure Data FactoryStreamlit

Industry Keywords

Internal AuditRisk ManagementControlsCompliance AuditsBusiness Transformation

Tech Stack

Tools & technologies

AzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

Obtain and prepare data in collaboration with the Data Analytics team, addressing data-accuracy and completeness issues before further analysis.
Develop and execute repeatable analytics to support operational, financial, and compliance audits.
Identify anomalies, patterns, and potential control weaknesses.
Document analytical methods, assumptions, limitations, and results so analyses are traceable, reproducible, and suitable for audit evidence.
Validate analytical results with audit teams and business stakeholders.
Communicate insights clearly through visualizations, dashboards, and concise reporting.
Support development of AI-enabled audit processes, including automation of audit programs and testing activities.
Collaborate with stakeholders across Data Analytics, IS, Finance, Business Transformation, and the broader business.

Requirements

What you’ll need

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

Benefits

Comp & perks

Eligible for Company Productivity Bonus
Flexible working hours
Hybrid work options
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