Wolters Kluwer ("WK") is a global provider of software, information and services. Our customers are legal, business, tax, accounting, finance, audit, risk, compliance, and healthcare professionals. WK has annual revenues of over €4 billion and over 19,000 employees in more than 40 countries across North America, Europe, Asia Pacific, and Latin America. At WK, we excel at combining information with the latest technologies for use in the professional context our customers operate in.
The OpEx & Analytics Group is at the heart of the transformation of Global Business Services (GBS) and the broader central functions within Wolters Kluwer. The group provides to implement different aspects of a rich pipeline of operational improvements across Wolters Kluwer. You will help track and use data to help business make decisions.
The Role:
You will manage data and develop insights. Working with leaders and other main contacts from each function, you will use large datasets to find opportunities for tracking quantitative and qualitative details and using models to test the effectiveness of different courses of action. You have experience using a variety of data analysis methods with the correct tools, building, and implementing models for simulation. You will report to the manager of the business vertical.
Essential duties:
Work with technology, finance and procurement teams to identify opportunities for using company data to identify trends and opportunities
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users can use our solutions
The BI analyst has work across the following areas:
Data Collection and Processing:
Data Analysis and Interpretation:
Machine Learning and Predictive Modelling:
Data Visualisation and Reporting:
Research & Development
Education:
BA or BS degree (focus in Engineering, Statistics, Math, or Economics)
MS degree (focus in Data Science preferred)
Experience:
2.5 to 6 years of experience solving analytical problems using quantitative approaches
Other Skills or Certifications:
Translate data into visually appealing and executive-ready reports and dashboards
Proficiency in programming languages such as Python and SQL
String understanding of statistical analysis, data mining and machine learning techniques
Experience with data visualisations tools like Tableau or Power BI
To manage repositories of information from many sources across Wolters Kluwer
Experience in ML and AI (Gen AI, LLM) (Intermediate to proficient)
Work with all levels
Other Qualifications:
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
Benefits
Healthcare Coverage: Medical Insurance for health and well-being.
Financial Security: Retirement plans, life insurance, and disability coverage.
Work-Life Balance: Hybrid working with flexible schedule.
Professional Growth: Development.
Emotional Well-being: Employee assistance for Health and Mental wellbeing.
Health and Wellness: Wellness programme.
Recognition: Employee recognition and discounts.
Crèche/Day-care: Reimbursement of Crèche or Day-care expenses.
National Pension Scheme.
Diversity Matters Wolters Kluwer strives for an inclusive company culture in which we grow diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmost importance. We've been recognized by employees as a European Diversity Leader in the Financial Times, as one of Forbes America’s Best Employers for Diversity in 2022, 2021 and 2020 and as one of Forbes America’s Best Employers for Women in 2021, 2020, 2019 and 2018. In 2020, we placed third in the Female Board Index, and were recognized by the European Women on Boards Gender Diversity Index. Wolters Kluwer and all of our subsidiaries, divisions and customer/departments is an Equal Opportunity / Affirmative Action employer.
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