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: