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 reportsExploratory 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
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