Data Analyst

Job description

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