Data Science & Analytics Engineer — Digital Technology

Kelly Services; Santa Isabel (PR); Presencial; USD 85.000 - 110.000; Jornada completa

Descripción de la vacante

Kelly Technology seeks a Digital Technology — Data Science & Analytics professional in Santa Isabel, PR to transform data into insights and automated reporting solutions. You will lead dashboard development with Power BI/Tableau, automate reporting, and build Power Apps to streamline workflows.

The role collaborates with Operations, Finance, and Leadership to deliver data-driven decisions, ensure data quality, and drive digital transformation across the organization.

Formación

• Bachelor's degree in a technical/analytical field.
• 3–5 years of relevant experience in data analytics or BI.
• Experience supporting operational and leadership reporting is preferred.

Responsabilidades

• Transform data into insights and automated reporting solutions.
• Develop dashboards and reporting views using Power BI, Tableau, and Excel.
• Automate reporting processes to improve efficiency and data consistency.
• Build Power Apps solutions to simplify data entry and workflows.
• Develop data validation and governance processes to ensure accuracy.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Gather requirements, present solutions, and train users on new tools.
• Support data collection, consolidation, and dashboard maintenance.

Conocimientos

Power BI

Tableau

Python

Data Analytics

Dashboards

Excel

Stakeholder Collaboration

Educación

Bachelor's Degree in Data Science/CS/IT/Engineering

Herramientas

Power Apps

Power Automate

SharePoint

Microsoft 365

Descripción del empleo

Kelly Technology seeks a Digital Technology — Data Science & Analytics professional in Santa Isabel, PR to transform data into insights and automated reporting solutions. You will lead dashboard development with Power BI/Tableau, automate reporting, and build Power Apps to streamline workflows.

The role collaborates with Operations, Finance, and Leadership to deliver data-driven decisions, ensure data quality, and drive digital transformation across the organization.