INTERVIEW WILL BE 1ST ROUND F2F. LOCAL TO GA OR NEARBY STATE. NO SPONSORSHIP AVAIABLE.
Responsible for supporting business intelligence and analytics needs within Client's , partnering with business stakeholders and contributing to the transformation from a legacy on-prem BI environment (DB2 / Informatica / Cognos) to a modern Azure and Microsoft Fabric-based analytics platform (Databricks, Fabric, Power BI). This role will focus on developing modern BI solutions while supporting and migrating existing Cognos assets.
Job Responsibilities
. Develop and support dashboards and reports using Power BI (primary) and Cognos Analytics (legacy support during the transition).
. Lead and support migration of reports, dashboards, and data models from Cognos to Power BI / Microsoft Fabric, ensuring accuracy, performance, and consistency.
. Design and build scalable Power BI semantic models aligned with Microsoft Fabric and modern BI best practices.
. Use Python for data transformation, automation, and analytics within Databricks and Microsoft Fabric environments.
. Collaborate with Data Engineering teams to support Fabric Lakehouse and Warehouse solutions and Azure-based data pipelines.
. Provide production support and root cause analysis across legacy and modern BI platforms.
. Convert end-user reporting solutions (Excel, Access, SAS) into governed, automated Power BI solutions.
. Gather, document, and translate business requirements into technical specifications, including data mappings and transformation logic.
. Support unit testing and UAT, ensuring data quality and reporting accuracy.
. Provide guidance and enablement for Power BI self-service analytics.
. Support enterprise analytics transformation initiatives and evolving BI standards.
Required Skills:
Hands-on experience with Cognos Analytics and Power BI, including DAX, data modeling, and report migration.
. Strong Python skills for data manipulation, automation, and analytics.
. Experience with Microsoft Fabric (Lakehouse, Warehouse, semantic models).
. Experience with Azure data platforms, including Databricks and Azure Data Lake.
. Strong SQL and data warehousing fundamentals.
. Familiarity with ETL / ELT tools (Informatica experience a plus).
. Strong analytical, problem-solving, and communication skills.
. Comfortable working in a transformational, fast-evolving environment.
. Financial Services experience preferred.
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