Data Management Analyst/Engineer

Job Description

• Perform data analysis to support business and operational requirements.

• Manage end-to-end data processing, including data extraction, transformation, validation, and reconciliation.

• Conduct data quality checks, identify discrepancies, and perform root-cause analysis and troubleshooting.

• Gather business and technical requirements and support implementation activities.

• Execute and support User Acceptance Testing (UAT) and production validation.

• Manage Service Level Agreements (SLA) and respond to data-related queries from end users in a timely manner.

• Monitor data pipelines and operational processes to ensure data accuracy and reliability.

• Prepare and maintain technical and functional documentation, including specifications and process guides.

• Collaborate with internal stakeholders to ensure smooth data operations and issue resolution.

Requirements

• Minimum 2 years of experience in data analysis or data operations support; candidates with 4–8 years of experience are preferred.

• Strong proficiency in SQL and Python for data querying, analysis, and automation.

• Hands-on experience with enterprise databases such as MS SQL, Snowflake, Redshift, and PostgreSQL.

• Experience with data integration tools, e.g. Informatica or equivalent ETL platforms.

• Proven experience in data reconciliation, data quality checks, and end-to-end data processing.

• Experience in performing and supporting UAT activities.

• Familiarity with finance domain data and financial reporting processes is an advantage.

• Strong problem-solving skills with logical and analytical thinking.

• Good communication skills and ability to manage user queries and operational support requests.