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Indium

Business Analyst

Posted 8 Days Ago
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In-Office
Mumbai, Maharashtra, IND
Mid level
In-Office
Mumbai, Maharashtra, IND
Mid level
Perform data validation and reconciliation for migrations, analyze code/data flows and batch processing, document lineage, define validation scenarios, support UAT and defect tracking, execute BRE UI and business-rule testing, and perform root cause analysis and automation readiness assessments.
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Job Description – Business Analyst 

Role Summary:
We are looking for a detail-oriented Business Analyst / Data Validation Analyst with strong SQL and data validation experience to support data migration, business rule testing, UAT, and production readiness activities.

Key Responsibilities:

  • Analyze existing code logic, data flows, dependencies, and batch processing cycles.

  • Document data lineage, processing behavior, and system interdependencies.

  • Perform data validation, reconciliation, and swap-in/swap-out comparisons during migration.

  • Conduct Root Cause Analysis (RCA) for data discrepancies and processing issues.

  • Define validation scenarios and acceptance criteria with business stakeholders.

  • Support UAT activities, defect tracking, and sign-off documentation.

  • Assess pipeline, scheduling, runtime, and environment dependencies for refresh and automation readiness.

  • Perform UI testing of Business Rules Engine (BRE) applications.

  • Validate business rules, workflows, calculations, and functionality.

  • Design and execute positive, negative, boundary, and regression test scenarios.

Required Skills:

  • Strong SQL skills with hands-on experience in data analysis and validation.

  • Experience with complex data processing workflows and batch execution cycles.

  • Strong analytical, troubleshooting, and documentation skills.

  • Experience in UAT planning, execution, and defect tracking.

  • Knowledge of data lineage, reconciliation, and migration validation.

  • Familiarity with Agile, JIRA, and Confluence.

Preferred Skills:

  • Hands-on experience with PySpark.

  • Basic knowledge of Azure Data Services and Databricks.

  • Exposure to data migration, data warehousing, and cloud data platforms.

  • Experience with Business Rules Engine (BRE) testing.

Education:
Bachelor’s degree in Engineering, Computer Science, Information Technology, Data Analytics, or a related discipline.


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