Business Intelligence Technician

rt 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.

Qualifications:

• Bachelor's degree on engineering related areas.

• Minimum 3 years of technical or administrative support in related areas (OPEX, Mejora Contínua, Logística, Finanzas, etc).

Preferred:

• Minimum 1 year in developing and designing data management solutions and/or 1 year of practical data science experience using MS Excel, Power BI, PowerQuery with a proven track record of solving critical business problems and uncovering new business opportunities.

• Intermediate English.

Technical knowledge:

1. Experience designing and training models, integrating data from different systems, and cleaning data.
2. Experience of Windows and O365 platform.
3. Solid experience of data visualization tools such as Power BI and/or Pyqtgraph, Tableau, etc.
4. 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.
5. Basic understanding of SQL to perform data collection of large datasets.
6. Basic understanding of relational and non-relational database systems.
7. Basic understanding of cloud development platforms such as Power Apps, Azure and their associated data storage options.
8. Experience working in projects or small teams in Production environment.

Horario: Lunes a Viernes de 8 a 5.

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