Data Analyst

Data AnalystData Analysis & Transformation 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