Business Intelligence Developer

• Lead BI Tooling Evaluation & Selection
• Own the BI tooling selection end-to-end — requirements, POCs, vendor engagement, and a final, defensible recommendation.
• Keep the decision led by criteria, not familiarity with any one product.
• Build & Own the BI Consumption Layer
• Build and own a layered, governed consumption layer with reliable refresh and incremental loads.
• Deliver the data model, applications, and self-service dashboards for technical and non-technical users.
• Data Architecture & Engineering Standards
• Shape the long-term data and analytics platform strategy with the Head of Data and Data Architect.
• Own BI engineering standards, building scalable, maintainable, resilient systems.
• Self-Service Enablement & Data Products
• Enable key stakeholder such as: Marketing, Finance, Product, and Operations to answer their own questions.
• Build reusable data products — curated datasets, KPI frameworks, embedded analytics.
• Data Quality & Reliability
• Implement validation, testing, monitoring, and observability across datasets and metrics.
• Ensure integrity and accuracy so reported numbers can be trusted.
• Cross-Team Collaboration
• Partner across engineering, analytics, and product to deliver reliable datasets.
• Act as the point of contact for BI while supporting a data-driven culture.

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Big Data Engineer – BI Specialist