BI Develoepr

***Please be sure to provide candidates month and day of birth as well as confirm the rate***

Job Description:

Responsible for supporting business intelligence and analytics needs within Mercedes-Benz Financial Services 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.

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.