Business Intelligence Lead/ Architect || Jersey City, NJ (Hybrid)

Role: BI Lead (Power BI / Tableau) Location : Jersey City, NJ (Hybrid) Contract/ Full Time Key Responsibilities: • Lead BI architecture and solution design conversations with clients, acting as the primary technical authority on data and analytics platforms. • Design, build, and optimise Power BI semantic models and Tableau data sources for enterprise-scale performance and maintainability. • Write and optimise complex DAX measures, M/Power Query transformations, and SQL queries to support accurate, high-performance reporting. • Diagnose and resolve data model issues — slow DAX, broken relationships, cardinality problems, and upstream data quality issues — quickly and systematically. • Architect dimensional data models (star schema, fact/dimension design) and semantic layers consumed across multiple BI tools. • Drive self-service BI capability: certify datasets, define governed metrics, and build enablement programmes so business teams can explore data independently. • Define BI deployment standards, CI/CD pipelines, and release governance to ensure reliable and secure analytics delivery. • Partner with data engineering teams to design analytics-ready data structures and resolve data issues at source. • Establish data governance frameworks covering data quality standards, metadata management, access controls, and KPI standardisation across business units. • Mentor BI developers through code and model reviews, sharing DAX, SQL, and design best practices to raise overall team capability. MUST-HAVE SKILLS Power BI • Semantic model design and optimisation: star-schema modelling, reducing cardinality, managing relationships, aggregations, and composite models. • Advanced DAX: efficient, reusable measures; evaluation context; CALCULATE; iterator functions; time intelligence patterns. • M / Power Query: advanced transformations, query folding, incremental refresh, parameter-driven pipelines. • Power BI Service governance: certified datasets, deployment pipelines, workspaces, row-level security, gateways, and refresh scheduling. • Self-service BI: promoting dataset reuse and enabling business users to build their own reports without IT dependency. Tableau • Dashboard and data source design for enterprise-scale reporting. • Tableau Server / Tableau Cloud governance, published data sources, and performance optimisation. SQL & Data Architecture • Strong SQL: complex queries, CTEs, window functions, query optimisation, and reading execution plans. • Data warehouse and dimensional modelling: fact/dimension design, schema validation, and data lineage. • ETL/ELT understanding: diagnosing and resolving upstream data issues that affect BI layers. • Communication & Stakeholder Engagement • Comfortable presenting architecture, data strategy, and roadmaps to client executives and technical leaders. • Skilled at requirements gathering from non-technical stakeholders and translating them into scalable BI solutions. • Experience leading architecture reviews, discovery workshops, and solution design sessions.