What you'll do:

　　Support the Business Intelligence, Data Management and Analytics Team with the execution of its roadmap enabling stategic use of data at Eaton. Combine technical skills, a passion for creative problem solving to build great data management solutions that will enable better, quicker and real time decision making. Lead BPI events to data collection, data management and data presentation processes. Participate in RIEs to assist with MAPICS direct data collection and requirements analysis processes. Provide support on MAPICS system knowledge and processes.

　　Develop the Business Intelligence, Data Management /Analytics to execute the roadmap enabling strategic use of data at Eaton. Combine technical skills, a passion for creative problem solving to build great data management solutions that will enable better, faster, and real time decision making. Lead BPI/RIE events to data collection, data management and data presentation processes. Participate in RIEs to assist with MAPICS direct data collection and requirements analysis processes.

　　1. Streamline processes and create efficiencies in the way the various departments and team members use applications, technology, and practices to collect, analyze, and present data across business functions. Proactively seek opportunities to improve data quality.

　　2. Provide maintenance and technical support to homegrown systems in O365 (e.g. material request system, replenishment system, etc.) for Local and Puerto Rico Site.

　　3. Provide maintenance and technical support to all reports are running on Power BI Service such as: Programa Kaizen y Sugerencia, Action Tracker, Allocation Tracker Report, ECO's Report, Project Portfolio Report, Haina Load Performance Report.

　　4. Provide system knowledge support to MAPICS user in business processes, such as: creation of MOs under deviation, creation of queries and reports to extract data from MAPICS, receipt of breakers by warranty, PMC, etc.

　　5. Provide maintenance and technical support to reports from MAPICS AA environment used by finance team.

　　Qualifications:

　　Minimum 2 years of practical data science or data analysis experience in the application of business intelligence, statistics, machine learning, and analytic approaches with a proven track record of solving critical business problems and uncovering new business opportunities."

　　Skills:

　　Solid experience and proficiency in data visualization tools like Tableau, Power BI, or QlikView to create insightful dashboards and reports for business users.

　　Hands-on experience with prototyping/proof-of-concept development and stakeholder management.

　　Hands-on experience of Python and/or R, associated tools (TensorFlow, pandas, scikit-learn, numpy) and IDE's (PyCharm, Eclipse, RStudio).

　　Ability to write complex queries that are accessible, secure, and perform in an optimized manner with an ability to output to different types of consumers and systems.