Job Description
Join Our Team as an Operational Data Analyst
Paletas Wey, a dynamic player in the manufacturing, retail, and logistics sectors, is seeking a detail-oriented Operational Data Analyst to drive data-driven decision-making across our operations. In this critical role, you will transform raw operational data into actionable insights, optimize supply chain efficiency, and support strategic initiatives that directly impact our bottom line. If you thrive on solving complex problems and have a passion for data, we want you on our team.
You will collaborate closely with cross-functional teams including operations, logistics, retail management, and IT to identify key performance indicators, develop dashboards, and deliver reports that empower managers to make informed decisions. This is an excellent opportunity to grow your career in a fast-paced environment where data is at the heart of innovation.
At Paletas Wey, we value growth, collaboration, and continuous improvement. We offer a supportive culture with opportunities to work on high-impact projects using modern analytics tools. Join us and help shape the future of our operations.
Responsibilities
- Analyze large datasets related to manufacturing, retail, and logistics operations to identify trends, anomalies, and improvement opportunities.
- Develop and maintain dashboards and reports (e.g., using Power BI, Tableau, or Excel) to monitor key operational metrics such as inventory turnover, delivery performance, and production efficiency.
- Collaborate with operations managers to define data requirements and translate business needs into analytical solutions.
- Perform ad-hoc analyses to support decision-making on supply chain optimization, cost reduction, and process improvement.
- Ensure data accuracy and integrity by performing regular data validation and cleaning.
- Present findings and recommendations to stakeholders through clear visualizations and presentations.
- Support the implementation of data collection systems and automation to streamline reporting processes.
- Participate in cross-functional projects to drive data-centric initiatives across the organization.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering, or a related field.
- 2+ years of experience as a data analyst, preferably in manufacturing, retail, or logistics environments.
- Proficiency in SQL for data extraction and manipulation.
- Hands-on experience with data visualization tools (e.g., Power BI, Tableau, or Google Data Studio).
- Strong analytical and problem-solving skills with the ability to work with complex datasets.
- Excellent communication skills, both written and verbal, to present insights to non-technical stakeholders.
- Familiarity with ERP systems (e.g., SAP, Oracle) and supply chain concepts is a plus.
- Ability to work independently and in a team, managing multiple priorities in a fast-paced environment.