Data Analyst

Role Overview

Work with structured operational data using Python and Excel to clean, analyze, and compute insights. Support the Data Analytics Lead in building and maintaining Power BI dashboards and reports.

What You Will Do

Perform exploratory data analysis to identify trends, patterns, and anomalies in operational datasets. Collect data from different stakeholders, validate accuracy, and align on definitions across sources.

Why It Might Be a Fit

Strong Python skills for data manipulation and analysis (Pandas or similar). Good communication skills -able to collect, validate, and align data with different stakeholders, and present insights clearly.

Requirements

• 2-4 years of experience in a data analyst or similar hands-on analytics role
• Bachelor’s degree in data science, Engineering, Computer Science, Supply Chain or a related field
• Exposure to operational analytics -analyzing production, quality, supply chain, or similar operational data
• Strong Python skills for data manipulation and analysis (Pandas or similar)
• Strong Excel skills (formulas, pivot tables; Power Query is a plus)
• Working knowledge of SQL for querying and joining data
• Exposure to Power BI (building or maintaining dashboards, DAX basics)
• Exposure to Databricks -comfortable pulling and working with data hosted there
• Comfortable creating presentations (PowerPoint) to communicate findings to senior stakeholders
• Good communication skills -able to collect, validate, and align data with different stakeholders, and present insights clearly
• Good attention to detail and comfort working with messy, real-world operational data

Tagged as: Data Analysis