Data Analyst

Key Responsibilities

• Analyze large and complex datasets to discover trends, patterns, and actionable insights
• Build, maintain, and optimize dashboards and reports using visualization tools such as Tableau or Power BI
• Write efficient SQL queries and work with databases to extract and manipulate data
• Use Python (Pandas, NumPy) or advanced Excel techniques for data processing and statistical analysis
• Present findings to both technical and non-technical stakeholders in a clear and structured way
• Participate in discussions around data modeling, experimentation, and performance analytics
• Collaborate closely with product and engineering teams to support data-driven decision-making
• Clean, validate, and transform datasets to maintain high data accuracy
• Assist in evaluating early-stage machine learning models (familiarity with ML concepts is a plus)
• Contribute to developing frameworks and best practices for data workflows in the organization