Data Analyst

Job location :

About the Role

Data Analyst

SQL-intensive role

Key Responsibilities

• Develop, maintain, and optimize ETL pipelines for data extraction, transformation, and loading.
• Write and optimize complex SQL queries, including

  joins, subqueries, CTEs, stored procedures, and analytical queries

  .
• Perform data extraction, transformation, cleansing, validation, and loading activities.
• Monitor data pipelines and identify and resolve data quality and processing issues.
• Analyze large datasets to identify trends, patterns, discrepancies, and data quality issues.
• Ensure data accuracy, consistency, completeness, and integrity across multiple data sources.
• Work with large datasets and optimize SQL queries for better performance.
• Collaborate with technical and business teams to understand data requirements and deliver accurate data solutions.
• Troubleshoot ETL and data pipeline failures and ensure timely resolution.
• Perform data quality checks and implement appropriate validation processes.
• Maintain technical documentation related to data pipelines, SQL processes, and data workflows.

Required Skills

• 1+ years of relevant industry experience

  as a Data Analyst, ETL Developer, Data Engineer, or in a similar data-focused role.

• Strong hands-on SQL experience Mandatory.

• Strong understanding of

  ETL concepts and pipeline development

  .
• Hands-on experience with

  data extraction, transformation, loading, and validation

  .
• Strong understanding of

  relational databases and data structures

  .
• Experience with

  data quality checks, monitoring, and troubleshooting

  .
• Experience working with

  large datasets

  and SQL query optimization.
• Strong analytical and problem-solving skills.
• Ability to work independently as well as collaboratively with technical and business teams.

Preferred Profile

• Candidates with experience in

  SQL-heavy Data Analyst, ETL, Data Engineering, or Data Pipeline roles

  .
• Candidates should have strong hands-on experience in SQL rather than primarily working on reporting or dashboard development.
• Experience with stored procedures, CTEs, complex joins, query optimization, and data validation will be an advantage.

Important Screening Criteria

• SQL is mandatory and should be hands-on and strong.

• Candidates whose experience is primarily limited to

  Power BI/dashboard development without strong SQL and ETL exposure are not suitable.

• Profiles primarily focused on PySpark should be avoided.