Operational Data Analyst Python Power BI

Use Python, Excel, and Power BI to analyze operational data and create clear insights for stakeholders. This hands-on analytics role supports a Data Analytics Lead.

You will work with structured and messy operational datasets, using Pandas or similar tools, SQL, and Databricks. The position supports dashboard maintenance, exploratory analysis, root-cause investigations, and process improvement reporting. You will collect and validate data across stakeholders, align definitions, and present findings clearly.

Key Responsibilities:

• Clean, analyze, and compute insights from operational data
• Build and maintain Power BI dashboards and reports
• Perform exploratory analysis to identify trends and anomalies
• Connect data across systems for root-cause analysis
• Present actionable findings to senior stakeholders

Requirements:

• Two to four years in data analytics or similar roles
• Bachelor’s degree in data science or related field
• Strong Python, Excel, SQL, and Power BI skills
• Exposure to Databricks and operational analytics
• Clear communication and strong attention to detail

Apply your Python, Excel, SQL, and Power BI expertise to operational analysis, reporting, and stakeholder communication.