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Wolters Kluwer Business Intelligence Manager in Helena, Montana

* Remote / Hybrid

About Us

Wolters Kluwer ("WK") is a leading 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 superior information with the latest innovative 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 thought leadership to identify, assess, implement and manage different aspects of a rich pipeline of operational improvements across Wolters Kluwer. The team helps manage the change agenda by prioritizing opportunities, analyzing options, engaging with vendors and coordinating with the technology, finance and strategic sourcing groups to execute the different initiatives. The Analytics Team within BizOps & Strategy engages and supports aspects of these initiatives: from opportunity identification, to quantitative analyses, insight generation and monitoring. OpEx & Analytics also tracks and reports on Operational Excellence initiatives across the BizOps & Strategy, Strategic Sourcing, Technology and Finance functions within GBS.

The Role

BI Manager in the OpEx & Analytics group is a critical role in ensuring the continued success of the GBS division with the broader Wolters Kluwer company. Being a senior member of the team, you will play a leadership role in shaping our team’s strategy as well as leading cross-functional teams to deliver results and insights. You will be adept at using large datasets to find opportunities for tracking quantitative and qualitative details and using models to test the effectiveness of different courses of action. You must have strong experience using a variety of data analysis methods with the correct tools, building, and implementing models for simulation.


  • Five years of relevant work experience solving analytical problems using quantitative approaches

  • Work with technology, finance, sourcing and procurement teams to identify relevant trends and opportunities

  • Take ownership of high priority projects/programs and drive program delivery, stakeholder management, mentoring junior team members and influencing our future growth strategies

  • Apply your expertise in quantitative analysis, data mining and the presentation of data to see beyond the numbers and understand how our users can effectively use our solutions

  • Leading multiple programs from ideation to implementation to change management

  • The Business Intelligence Manager will work across the following areas

  • Operations - work with analysts to develop models for forecasting, regression analysis, monitor key metrics, root cause analysis for changes in metrics, building and analyzing dashboards and reports

  • Exploratory Analysis - building key data sets for operational and exploratory analysis, proposing what to build in the roadmap, understanding trends and behaviors and identifying new levers to improve metrics

  • Infrastructure - work in SQL/Oracle for automating analyses and author pipelines via SQL and Python based ETL framework

  • Strong communication and organization skills – experience with presenting and explaining any technical analysis to a non-technical audience


  • BA or BS degree or equivalent combination of education and work experience (focus in Engineering, Statistics, Math, Economics preferred)

  • MS degree is a plus with a focus in Data Science

Travel up to 5% may be required



Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.