Power BI Developer & Analytics Engineer / Data Warehouse / BI Developer

Power BI Developer & Analytics Engineer / Data Warehouse / BI Developer The ideal candidate will bring 5 years of relevant professional experience in Business Intelligence, Data Analytics, Analytics Engineering, or Data Engineering, with hands-on expertise in Power BI, SQL, and modern data platforms. Experience supporting enterprise reporting environments, semantic models, and data pipelines is highly preferred. Work Schedule: This position requires on-site presence five days per week. Contract Duration: This role is structured as a contract assignment of up to 18 months. 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 Preferred Soft Skills and Behavioral Traits: • Ability to thrive in ambiguous and rapidly evolving environments with a proactive, ownership-oriented mindset • Strong analytical and problem-solving skills with attention to detail • Demonstrated ability to manage and prioritize multiple projects while balancing development, support, and documentation activities • Excellent communication and interpersonal skills with the ability to collaborate effectively across business and technical teams • Strong documentation habits and commitment to knowledge sharing • Ability to independently investigate issues, identify root causes, and recommend sustainable solutions