Position- Data Analyst
Exp- 1-6 yrs
Location- Noida (Sec- 62)
Notice Period- Immediate joiner- 15 days
Skills- Data Analyst, ETL Developer, SQL skills (mandatory), ETL concepts, data validation, quality checks, and troubleshooting, data extraction, transformation, loading, and monitoring

About the Role

We are looking for a Data Analyst with strong hands-on experience in SQL and ETL pipelines. The ideal candidate should be proficient in data extraction, transformation, loading, validation, monitoring, and troubleshooting, with the ability to work with large datasets and optimise query performance.

Key Responsibilities

Develop, maintain, and optimise ETL pipelines for data extraction, transformation, and loading.
Write and optimise complex SQL queries, joins, subqueries, CTEs, stored procedures, and analytical queries.
Perform data transformation, cleansing, validation, and quality checks.
Monitor data pipelines and troubleshoot data quality and processing issues.
Analyse large datasets to identify trends, patterns, and discrepancies.
Ensure data accuracy, consistency, and integrity across multiple data sources.
Optimise SQL queries and database performance.
Collaborate with technical and business teams to understand data requirements.
Troubleshoot ETL and data pipeline failures and ensure timely resolution.
Maintain technical documentation for data processes and pipelines.

Required Skills

2+ years of relevant experience in Data Analytics, ETL Development, Data Engineering, or similar data-focused roles.
Strong hands-on SQL skills – Mandatory.
Good understanding of ETL concepts and pipeline development.
Experience in data extraction, transformation, loading, and pipeline monitoring.
Strong understanding of relational databases and data structures.
Experience with data validation, quality checks, and troubleshooting.
Strong analytical and problem-solving skills.
Good verbal communication skills.
Ability to work independently as well as collaboratively.

Habilidades requeridas

SQL querying (joins, subqueries, CTEs)Stored procedures developmentSQL query optimization and database performance tuningETL pipeline developmentData extractionData transformation and cleansingData loadingETL pipeline monitoring and troubleshootingData validation and data quality checksRelational databases and data structuresAnalysis of large datasets (trend and pattern identification)Technical documentation for data processes and pipelinesVerbal communication and cross-team collaboration

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