BI Lead; Power BI​/Tableau

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.

• 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, work spaces, 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.

• Dashboard and data source design for enterprise‑scale reporting.
• Tableau Server / Tableau Cloud governance, published data sources, and performance optimisation.
• 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.

• 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.