| Location | Atlanta, GA |
| Salary | $45 |
Key Responsibilities and Technical Contributions:
The candidate will play a critical role in supporting business insights, reporting modernization efforts, data engineering activities, and knowledge transfer for Freestyle analytics platforms.
Key responsibilities include:
Designing, developing, and maintaining interactive Power BI dashboards and reports that communicate key business and operational metrics
Building, optimizing, and supporting Power BI semantic models, measures, calculations, and row-level security (RLS)
Leveraging DAX, Power Query (M), SQL, and data modeling techniques to create scalable and reusable analytical solutions
Supporting data engineering activities, including data pipelines, ETL/ELT processes, data validation, troubleshooting, and migration efforts
Partnering with business stakeholders to gather requirements, translate business needs into technical solutions, and deliver actionable insights
Supporting ongoing reporting and analytics modernization initiatives, including Redshift and Microsoft Fabric-related activities
Assisting with production support, root cause analysis, data reconciliation, and issue resolution across reporting and analytical platforms
Creating and maintaining documentation for dashboards, data models, pipelines, business logic, and operational processes
Participating in knowledge transfer activities to ensure continuity of critical reporting, analytics, and data engineering capabilities
Top Required Skills and Competencies:
Strong Power BI experience, including dashboard development, data modeling, DAX, Power Query (M), semantic models, and report optimization
Experience implementing and supporting Row-Level Security (RLS)
Strong SQL skills, including querying, data validation, troubleshooting, and performance optimization
Experience working with enterprise data platforms such as Amazon Redshift, Microsoft Fabric, Azure SQL, Azure Data Factory, Synapse, Databricks, or similar technologies
Understanding of analytics engineering, data warehousing, and ETL/ELT concepts
Experience troubleshooting data quality issues and supporting production reporting environments
Familiarity with Artificial Intelligence (AI), predictive analytics, and how modern analytics platforms support AI use cases
Preferred Skills:
Microsoft Fabric experience including Lakehouse, Warehouse, Semantic Models, and Data Factory components
Experience supporting connected equipment, IoT, telemetry, operational, or high-volume event data
Experience with Python, Spark, or automation scripting
Experience supporting data migrations and platform modernization initiatives