Data Analyst

<h2>About the job</h2><h2>Roles &amp; Responsibilities</h2><ul><li>Work with structured operational data using Python and Excel to clean, analyze, and compute insights</li></ul><ul><li>Support the Data Analytics Lead in building and maintaining Power BI dashboards and reports</li></ul><ul><li>Pull and work with data from Databricks when required for analysis</li></ul><ul><li>Perform exploratory data analysis to identify trends, patterns, and anomalies in operational datasets</li></ul><ul><li>Assist in connecting data across different operational systems to support root-cause analysis</li></ul><ul><li>Collect data from different stakeholders, validate accuracy, and align on definitions across sources</li></ul><ul><li>Create presentations summarizing process improvement initiatives for reporting to senior management</li></ul><ul><li>Present insights and findings to different stakeholders, translating data into clear, actionable takeaways</li></ul><ul><li>Prepare clear, accurate outputs (reports, charts, summaries) for review by the lead and stakeholders</li></ul><h2>Required</h2><ul><li><strong>2-4 years of experience in a data analyst or similar hands-on analytics role</strong></li></ul><ul><li>Bachelor’s degree in data science, Engineering, Computer Science, Supply Chain or a related field</li></ul><ul><li>Exposure to operational analytics -analyzing production, quality, supply chain, or similar operational data</li></ul><ul><li>Strong Python skills for data manipulation and analysis (Pandas or similar)</li></ul><ul><li>Strong Excel skills (formulas, pivot tables; Power Query is a plus)</li></ul><ul><li>Working knowledge of SQL for querying and joining data</li></ul><ul><li>Exposure to Power BI (building or maintaining dashboards, DAX basics)</li></ul><ul><li>Exposure to Databricks -comfortable pulling and working with data hosted there</li></ul><ul><li>Comfortable creating presentations (PowerPoint) to communicate findings to senior stakeholders</li></ul><ul><li>Good communication skills -able to collect, validate, and align data with different stakeholders, and present insights clearly</li></ul><ul><li>Good attention to detail and comfort working with messy, real-world operational data</li></ul><ul><li>Manufacturing, aerospace, or industrial operations exposure is a plus, but not required</li></ul><h2>What This Role Is Not</h2><ul><li>Not a data architecture, data engineering, or platform-design role</li></ul><ul><li>Not a people-management role -you'll support the lead, not run the engagement independently</li></ul>