**Business Intelligence Manager- Operational Excellence** + Work with technology, finance and 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 BI Manager has worked 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. **Other Duties** Performs other duties as assigned by supervisor. **Job Qualifications** We are seeking an individual with strong analytical ability and interpersonal skills to get things done. **Education:** + BA or BS degree required (focus in Engineering, Statistics, Math, Economics preferred) + MS degree preferred (focus in Data Science preferred) **Experience:** Min. 5 years of relevant work experience solving analytical problems using quantitative approaches. **Other Requirements:** + Ability to translate data into visually appealing and executive-ready reports and/or dashboards. + Ability to lead complex and strategic initiatives. + Experience in SQL or other programming language + Experience with Python is required. + Knowledge of statistics – hypothesis testing, regressions etc. + Ability to build databases and understanding of ETL process. + Understanding of advanced analytics and developing Machine learning algorithms based on use case. + Ability to prioritize and manage multiple issues and/or assignments with time-sensitive deadlines. + Strong interpersonal skills and ability to interact effectively and professionally with all levels of the organization. + Capable of being both an individual contributor as well as a team player **Compensation:** Target salary range CA, CT, CO, HI, NY, WA: $117,500-$164,700 EQUAL EMPLOYMENT OPPORTUNITY 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.