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 yearsof relevant experience in data analytics and data handling Proficient inSQLandPythonfor data manipulation and analysis Hands-on experience withETL toolsand 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 aTier-1 engineering institution(IITs, BITS, NITs, IIITs) Excellentproblem-solvingabilities andcommunication skills
Job Title
Data Analyst