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Our client is seeking a Remote Data Analyst with 7+ years of experience to support enterprise data solution design and development. The role involves translating business requirements into scalable data products, building data models, and supporting ETL and integration work using SQL, Python, Spark, Databricks, and Azure. The ideal candidate will help modernize legacy data systems, implement medallion architecture, and ensure alignment with data governance standards while working closely with business and technical stakeholders in an Agile environment.
Job Responsibility
Gather, document, and analyze business and data requirements
Translate business needs into data solutions and enterprise data products
Design end-to-end data solutions, including data flows, models, and ETL mappings
Develop and maintain conceptual, logical, and physical data models
Build and refactor SQL-based ETL processes and support data integration work
Reverse engineer legacy ETL systems and source-to-target mappings
Ensure solutions align with enterprise data architecture and governance standards
Collaborate with data architects, governance teams, and business stakeholders
Implement and support medallion architecture (bronze, silver, gold layers)
Support modernization of legacy systems and improve financial reporting data processes
Produce clear documentation for designs, requirements, and solution validation
Communicate technical concepts, issues, and solutions to both technical and non-technical stakeholders
Requirements
Bachelor's degree in Management Information Systems, Computer Science, Engineering, Business, or related field
7+ years of experience as a Data Analyst or Data Modeler
Strong hands-on experience with SQL programming and ETL development (including refactoring)
Experience with data modeling (conceptual, logical, and physical) and data integration
Experience working with Azure Data Platform and Databricks