Hiring,
Greetings from Modern Agile Technologies.
Position: Technical Data Analyst
Location: Atlanta, GA / Charlotte, NC / Raleigh, NC (Onsite)
Type: Contract (W2 Only)
Required Skills:
SAS (Code Analysis & Conversion to Snowflake), Snowflake, SQL, Data Analysis, Data Profiling, Source-to-Target Mapping (MapDocs), Data Validation, Data Reconciliation, Data Lineage, Data Governance, ETL Tools (Talend/Informatica), Reporting & Analytics, Unix/Linux, Python, Power BI/Tableau, Data Warehousing, Agile/Scrum
Additional Skillsets –
· Snowflake Data Warehouse
· Hive Query Development
· SQL & Advanced CTE Development
· Data Migration & Modernization
· Data Validation & Reconciliation
· Database Object Creation & Management
· Data Modeling
· Machine Learning Pipeline Enablement
· SageMaker Integration
· Performance Optimization
· Dev/Test/QA Deployment Processes
· Data Governance & Quality Assurance
Data Analysis & Transformation
- Analyze complex SAS programs, macros, and datasets to understand business logic, data flows, and transformation rules.
- Perform SAS code analysis and support migration/conversion to Snowflake.
- Handle multi-format data ingestion including CSV, JSON, TXT, XML, and Parquet files.
- Interpret and document upstream-to-downstream data transformations across systems.
- Analyze source data structures, relationships, and dependencies to support data integration initiatives.
Source-to-Target Mapping (MapDocs)
- Create, maintain, and enhance Source-to-Target Mapping documents (STMs / MapDocs).
- Define detailed transformation logic, business rules, derivations, and field-level mappings.
- Document data lineage and mapping between source systems, ETL processes, and Snowflake targets.
- Ensure traceability between source systems (SAS/upstream) and target platforms (Snowflake).
Data Quality & Profiling
- Perform data profiling to evaluate completeness, accuracy, consistency, uniqueness, and data distribution patterns.
- Design and implement Data Quality (DQ) checks to ensure data integrity and reliability.
- Proactively identify, analyze, and resolve data quality issues and anomalies.
- Support data quality monitoring and reporting across multiple platforms.
Data Validation & Reconciliation
- Execute end-to-end data validation between source systems and Snowflake.
- Perform record count, aggregate-level, and attribute-level reconciliations.
- Validate data across staging, integration, and reporting layers.
- Support defect analysis, root cause identification, issue remediation, and validation signoff.
ETL Analysis & Support
- Analyze ETL workflows developed using Talend and Informatica.
- Collaborate with ETL developers to understand ingestion and transformation logic.
- Review ETL design documents and validate implementation against business requirements.
- Support ETL testing, deployment validation, and production support activities.
Snowflake & SQL Analysis
- Develop and execute complex SQL queries for analysis, reconciliation, and validation.
- Analyze Snowflake schemas, tables, views, and data models.
- Support Snowflake data validation, performance analysis, and optimization initiatives.
- Validate source-to-target data movement and transformation accuracy.
Reporting & Monitoring
- Develop and maintain reports and dashboards for operational and business insights.
- Support Power BI/Tableau reporting and analytics initiatives.
- Monitor data pipelines to ensure timely delivery aligned with SLA/OLA commitments.
- Participate in SLA/OLA definition, approvals, monitoring, and performance tracking.
Collaboration & Support
- Collaborate with ETL Developers, Data Engineers, Architects, Business Analysts, and Business Stakeholders.
- Support requirement gathering, data analysis workshops, and impact assessments.
- Support SIT, UAT, production releases, and post-deployment validation activities.
- Clarify business requirements and document functional specifications.
- Validate data accuracy and ensure reporting reliability.
- Coordinate issue resolution with upstream and downstream teams.
Data Governance & Lineage
- Maintain data lineage documentation for audit, compliance, and governance purposes.
- Ensure transparency of data movement across systems and transformations.
- Support metadata management and governance standards.
- Maintain technical and functional documentation for regulatory and operational requirements.
- Ensure adherence to enterprise data governance policies and best practices.
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