Senior Business Intelligence - Fabric Exp Is Must - Contract- to - Hire

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apton Inc, is seeking the following. Apply via Dice today! Required Skills: • This role is 70% management and 30% hands on technical • Bachelor s degree • 5+ years of experience leading Business Intelligence and Analytics teams and enterprise solutions • FABRIC, Power BI, Tableau, DAX, SQL, and LOD expressions • Cloud platforms, AWS is preferred • Data warehousing, preferred Redshift and Databricks • Agile project management • Excellent communication and leadership skills Nice To Haves: • Databricks Ginni or Microsoft Copilot • Master s degree Job Description: As a Software Engineer Manager, you will be responsible for leading the Analytics Engineering & Delivery function and for delivering scalable, performant, and insightful analytics solutions that support strategic and operational decision-making across the enterprise. This role manages a team of analytics engineers and oversees the development of enterprise dashboards, semantic models, and data pipelines across Fabric (Power BI), Tableau, and other supported platforms. The position partners closely with Data Architecture, Data Engineering, Governance, and Business Stakeholders to drive consistency, performance, and usability of business analytics products. What You ll Need: Bachelor's degree in Engineering, Computer Science, Analytics, or related field with 7-10 years of experience. 5+ years leading business intelligence or analytics engineering teams delivering production-grade solutions using Fabric, Power BI, Tableau, and enterprise-scale data platforms. Deep understanding of semantic modelling, star and snowflake schema design, dimensional modelling, and visual analytics best practices. Strong hands-on experience with DAX, Level of Detail (LOD) expressions, advanced SQL, and programming languages such as Python or R, as well as data preparation tools including Alteryx, Power Query, and Tableau Prep. Experience with Cloud Data Platforms such as Azure, AWS, or Google Cloud Platform, including cloud-native storage and computer solutions. Experience with enterprise data warehousing platforms such as Databricks, Snowflake, Redshift, Synapse, or similar technologies. Experience with generative AI and natural language technologies such as Microsoft Copilot, Salesforce Einstein, Databricks Ginni, or other LLM-driven analytics tools. Experience leading solution design and implementation using cloud data lakes, and version control tools like Git. Demonstrated success managing delivery pipelines and analytics squads in agile or hybrid environments. Proven ability to coordinate complex technical efforts across data engineering, governance, and business teams. Fluent in English with strong verbal and written communication skills, including executive reporting and stakeholder engagement. Familiarity with IBCS, cognitive design for analytics, and standardization frameworks