Data Analyst

Key Responsibilities

• Perform data cleaning, transformation, and standardization across large and complex datasets
• Write optimized SQL queries to extract, manipulate, and analyze structured data
• Use Python and data wrangling libraries (e.g.,

  Pandas

  ,

  PySpark

  ) for exploratory data analysis
• Develop and maintain ETL pipelines for smooth data ingestion and transformation
• Collaborate with stakeholders to understand data needs and provide actionable insights
• Document data workflows, findings, and methodologies clearly for future reference

Required Skills & Qualifications

• 1–3 years

  of relevant experience in data analytics and data handling
• Proficient in

  SQL

  and

  Python

  for data manipulation and analysis
• Hands-on experience with

  ETL tools

  and data wrangling libraries (e.g., Pandas, PySpark)
• Strong understanding of data preparation techniques and best practices
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field from a

  Tier-1 engineering institution

  (IITs, BITS, NITs, IIITs)
• Excellent

  problem-solving

  abilities and

  communication skills