The Role:

BI Manager in the OpEx & Analytics group is an important 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 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 will report to the Director of Business Intelligence.

The OpEx & Analytics Group provides thought leadership to identify, assess, implement and manage different aspects of a rich pipeline of operational improvements across Wolters Kluwer. 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.

This is a hybrid position, 3 days a week in the NYC office. #LI-Hybrid

• Work with technology, finance and sourcing and procurement teams to identify relevant 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 effectively use our solutions

• Leading multiple programs from ideation to implementation to change management

• The BI Manager has 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

Job Qualifications:

• BA or BS degree required (focus in Engineering, Statistics, Math, Economics preferred)

• MS degree preferred (focus in Data Science preferred)

5 + years of relevant work experience solving analytical problems using quantitative approaches

• Ability to translate data into visually appealing and executive ready reports and/or dashboards

• Ability to lead complex and strategic programs

• Experience in SQL or other programming language

• Development experience in Python is highly preferred

• Knowledge of statistics – hypothesis testing, regressions etc.

• Ability to query data databases, understanding of ETL process and familiarity with additional analytical tools preferred

A comprehensive benefits package that begins your first day of employment. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available - https://www.mywolterskluwerbenefits.com/index.html 

Diversity Matters

Wolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain 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.

The above statements are intended to describe the general nature and level of work being performed by most people assigned to this job. They're not intended to be an exhaustive list of all duties and responsibilities and requirements.

Compensation: