Data Analyst

· Handle multi-format data ingestion including CSV, JSON, TXT, and Parquet files

· Interpret and document upstream-to-downstream data transformations across systems

· Source-to-Target Mapping (MapDocs)

· Create, maintain, and enhance Source-to-Target Mapping documents (STMs / MapDocs)

· Define detailed transformation logic, data rules, and field-level mappings

· Ensure traceability between source upstream systems and target platforms (Snowflake)

· Data Quality & Profiling

· Perform data profiling to evaluate:

· Completeness

· Accuracy

· Consistency

· Data distribution patterns

· Design and implement data quality (DQ) checks to ensure integrity and reliability

· Proactively identify, track, and resolve data quality issues and anomalies

· Data Validation & Reconciliation

· Execute end-to-end data validation between source systems and Snowflake

· Perform data reconciliation to ensure data consistency across layers

· Support defect analysis, root cause identification, and resolution tracking

· Reporting & Monitoring

· Develop and maintain reports and dashboards for operational and business insights

· Monitor data pipelines to ensure timely delivery aligned with SLA/OLA commitments

· Collaborate with ETL developers and data engineering teams for ingestion and transformation processes

· Support UAT, production releases, and post-deployment validation activities

· Partner with business stakeholders to:

· Clarify requirements

· Validate data accuracy

· Ensure reporting reliability

· Data Governance & Lineage

· Maintain data lineage documentation for audit, compliance, and governance

· Ensure transparency of data movement across systems and transformations

· Support governance standards and documentation practices

Snowflake, Talend, Cloud (AWS/Azure), API, SQL, Snowflake, Data Analysis, Reporting, Data Validation, Data Lineage, ETL tools experience