Power BI Developer & Analytics Engineer

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