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.