Data Analyst

About the job

Roles & Responsibilities

• 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

• Pull and work with data from Databricks when required for analysis

• Perform exploratory data analysis to identify trends, patterns, and anomalies in operational datasets

• Assist in connecting data across different operational systems to support root-cause analysis

• Collect data from different stakeholders, validate accuracy, and align on definitions across sources

• Create presentations summarizing process improvement initiatives for reporting to senior management

• Present insights and findings to different stakeholders, translating data into clear, actionable takeaways

• Prepare clear, accurate outputs (reports, charts, summaries) for review by the lead and stakeholders

Required

• 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

• Manufacturing, aerospace, or industrial operations exposure is a plus, but not required

What This Role Is Not

• Not a data architecture, data engineering, or platform-design role

• Not a people-management role -you'll support the lead, not run the engagement independently