Business Intelligence Tech (Logistic) at Eaton USA

Bajos de Haina, San Cristóbal, Dominican Republic -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Data Analysis, Power BI, SQL, Machine Learning, Data Visualization, Cloud Development, Agile Methodologies, Statistical Modeling, Data Mining, Big Data, Technical Support, Process Improvement, Requirements Analysis, Data Quality, Business Intelligence

Industry

electrical;Appliances;and Electronics Manufacturing

Description

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. 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). 3. Provide maintenance and technical support to the 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. 6. Derive, interpret and effectively deliver the results of data analysis using visualization techniques, tools, custom applications, or by narrating stories about the solutions to business problems. 7. Understand traditional and new data analysis methods that can build statistical models and discover patterns in data. 8. Work directly with business stakeholders and engineering teams, ask the right questions to create high quality solutions that solve end-user problems. 9. Utilize a broad range of techniques in machine learning, data mining, statistics, and big data interrogation methods. 10. Provide work estimates and participate in design and implementation reviews.11. Execute agile work plans for iterative and incremental project delivery. Posición híbrida - 2 days remote, 3 days on site LI-AR9 Bachelor's degree on engineering related areas. Minimum 3 years of technical or administrative support in related areas. Prefered: 1 year in developing and designing data management solutions. Advanced English. 1. 2. Solid experience of data visualization tools such as Power BI and/or Pyqtgraph, Tableau, etc. 3. Basic understanding of SQL to perform data collection of large datasets. 4. Basic understanding of relational and non-relational database systems. 5. Basic understanding of cloud development platforms such as Power Apps, Azure and their associated data storage options.

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Responsibilities

The role involves leading BPI events for data collection and management, and providing technical support for various data systems and reports. Additionally, the candidate will streamline processes and improve data quality across business functions.