Data Analyst

Data Analysis & TransformationHandle multi-format data ingestion including CSV, JSON, TXT, and Parquet filesInterpret and document upstream-to-downstream data transformations across systemsSource-to-Target Mapping (MapDocs)Create, maintain, and enhance Source-to-Target Mapping documents (STMs / MapDocs)Define detailed transformation logic, data rules, and field-level mappingsEnsure traceability between source upstream systems and target platforms (Snowflake)Data Quality & ProfilingPerform data profiling to evaluate:CompletenessAccuracyConsistencyData distribution patternsDesign and implement data quality (DQ) checks to ensure integrity and reliabilityProactively identify, track, and resolve data quality issues and anomaliesData Validation & ReconciliationExecute end-to-end data validation between source systems and SnowflakePerform data reconciliation to ensure data consistency across layersSupport defect analysis, root cause identification, and resolution trackingReporting & MonitoringDevelop and maintain reports and dashboards for operational and business insightsMonitor data pipelines to ensure timely delivery aligned with SLA/OLA commitmentsCollaborate with ETL developers and data engineering teams for ingestion and transformation processesSupport UAT, production releases, and post-deployment validation activitiesPartner with business stakeholders to:Clarify requirementsValidate data accuracyEnsure reporting reliabilityData Governance & LineageMaintain data lineage documentation for audit, compliance, and governanceEnsure transparency of data movement across systems and transformationsSupport governance standards and documentation practicesSnowflake, Talend, Cloud (AWS/Azure), API SQL, Snowflake, Data Analysis, Reporting, Data Validation, Data Lineage, ETL tools experience