- Experiencia
- Cualquier
- Salario
- —
- Vacantes
- 1
- Al corriente
- Hace 8 horas
- Modo de trabajo
- Trabajar desde casa
- Educación
- Ciencia de datos, estadística, matemáticas, informática, economía o campo relacionado.
- Elegibilidad
- Se valorará positivamente a los candidatos con formación académica relevante en Ciencia de Datos, Estadística, Matemáticas, Informática, Economía o un campo afín. El puesto es adecuado para quienes puedan trabajar a tiempo parcial de forma remota y gestionar su propio horario de manera responsable.
- Reanudar
- Se requiere solicitud
Descripción del trabajo
Role overview
This part-time remote Data Analyst position is centered on gathering, refining, and examining information from production, supply chain, and wider business processes to help guide better decisions. The role calls for building reports, dashboards, and visual outputs that surface important patterns, key metrics, and practical findings for different teams and stakeholders.
Key work areas
- Collect data from operational, supply chain, and business sources, then clean and organize it for analysis.
- Check datasets for accuracy, consistency, and completeness before using them in reports or models.
- Run statistical analyses to identify trends, relationships, and performance gaps.
- Create dashboards, reports, and visualizations that communicate results clearly.
- Support data modeling work that improves forecasting, planning, and decision-making.
- Work with cross-functional teams to turn analysis into practical recommendations.
- Contribute to ongoing process and performance improvement efforts through data-driven insights.
Qualifications
Applicants should bring strong analytical capability and the ability to work with complex datasets to produce meaningful insights. A solid foundation in statistics is important, especially descriptive and inferential methods used in operational or business analysis. Experience with data modeling and maintaining structured datasets for reporting is also valuable.
Tools and working style
Comfort with data analysis tools such as Excel, SQL, Python, or R is helpful, along with exposure to visualization tools like Power BI or Tableau. The role also requires careful attention to detail, strong problem-solving skills, and a disciplined approach to data validation and quality checks. Because the job is remote and part-time, the person must be able to manage time well, work independently, and collaborate effectively online.
Background
An academic background in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline is considered an advantage.