Data Analyst

Key Responsibilities

• Partner with business teams to deliver data-driven insights and technology solutions
• Develop innovative analytics solutions to support strategic initiatives
• Use SQL and data visualization tools to analyze structured and unstructured data
• Apply statistical models and machine learning techniques to measure business drivers
• Translate complex analysis into clear, actionable recommendations
• Continuously explore and adopt new tools, technologies, and methodologies

Qualifications

• Education
• Bachelor’s in Engineering (B.Tech/B.E.) or
• Master’s in Statistics, Econometrics, Mathematics, or a related field
• Experience
• 2–6 years of total experience
• 1–3 years of relevant hands-on analytics experience

Technical Skills

• Proficiency in SQL (joins, volatile tables, basic query optimization)
• Strong understanding of DW/BI concepts
• Experience with BI tools such as Tableau, Domo, MicroStrategy, or Qlik
• Programming experience in Python, R, or similar open-source technologies
• Knowledge of analytical techniques: regression, time-series analysis, classification, etc.
• Familiarity with databases: Teradata, Oracle, Hive
• Exposure to big data tools and frameworks like Hadoop/HDFS