Responsibilities: - Improve existing data designs and design new databases and data models, including relational table structures, using Unix Shell Scripting, Oracle and SQL Server - Manage the requirements gathering, development and rollout of major projects on the solution platform - Creating reports and providing the ability to slice and dice the data in SSAS - Work directly with reporting team to ensure ongoing operational and new work complies with requirements and ETL best practice and audit standards - Provide ad-hoc support for advanced strategic data analysis initiatives - Act as the go-to expert on all underlying transformation logic against data in the data warehouse - Support business user questions about the data and provide documentation and training when and where necessary Requirements: - Holds a college degree in any discipline - Minimum 5-10+ years professional/project experience with data warehousing, data lakes, and/or business intelligence - Minimum 3+ years experience developing ETL/ELT solutions using tools such as Azure Data Factory, Python, Alteryx, SSIS, or Informatica. Integrating data from varied sources using Alteryx and being able to load the data into the SQL Server Analysis Service (SSAS) cubes using SSIS - Data-modeling experience - Hands-on experience with Azure services (Data Factory, Synapse, Databricks, Purview, Machine Learning) or Power BI, Power Platform - Aptitude for data and analytics - SQL queries, ETL frameworks and tools, T-SQL (Views, Queries, Stored Procedures), R, Spark, and DAX - Experience deploying data pipelines, models, and AI-driven solutions. Packaging the product and turning it over to the client. - Must be able to understand ledgers at the very least Data Privacy Consent By submitting your application for this job, you are authorizing JWay Group to: a) collect and use your personal data, and to disclose such data to any third party with whom JWay Group or any of its related corporations has service arrangements, in each case for all purposes in connection with your job application, and employment with JWay Group or its clients; and b) retain your personal data for consideration of future job opportunities (where applicable for relevant unsuccessful job applicants).