About this role
Job Description:
We are looking for a proactive, analytical, and customer-focused Senior Reporting Analyst to lead the design and delivery of high-impact BI solutions. In this role, you will combine deep technical expertise in Power BI and dimensional modeling with a keen interest in modern data engineering practices.
You will serve as a key bridge between internal customers and cloud data engineering teams—translating complex operational challenges and requirements into intuitive, high-performance executive dashboards while optimizing how data flows from the Lakehouse layer into semantic models.
Key Responsibilities
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Lead Requirements Discovery & Advisory:
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Facilitate discovery workshops with internal customers and cross-functional teams to define KPIs, reporting logic, and dashboard UX wireframes.
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Confidently advise internal customers on data visualization best practices, cognitive ergonomics, and user-centric analytical design.
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Architect Robust Semantic Models & Dashboards:
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Build scalable, high-performance Star Schema models (Fact and Dimension structures) adhering to enterprise modeling standards.
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Author sophisticated DAX calculations, including complex time-intelligence patterns, dynamic metrics, semi-additive calculations, and Row-Level Security (RLS).
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Design clean, executive-ready dashboard visualizations that drive actionable decision-making for your internal customers.
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Optimize Performance & Transformation Placement:
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Evaluate transformation placement across the entire pipeline (Source vs. Lakehouse vs. Power Query/DAX) to preserve query folding and maximize refresh efficiency.
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Diagnose and resolve report and visual latency using tools such as Power BI Performance Analyzer, DAX Studio, and VertiPaq Analyzer.
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Collaborate with Data Engineering:
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Partner with Data Engineers to shape upstream Lakehouse tables, validate pipeline outputs, and ensure semantic models consistently meet internal customer service-level expectations.
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Qualifications & Experience
Essential Experience:
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3–5+ years of dedicated, hands-on experience designing and developing enterprise Power BI solutions, semantic data models, and executive dashboards.
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Expert Dimensional Modeling: Proven ability to build performant Star Schemas from multi-source enterprise environments.
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Advanced DAX & Power Query (M): Deep expertise writing maintainable DAX measures, implementing dynamic security (RLS/OLS), and leveraging Power Query with full query folding awareness.
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Transformation Architecture: Clear understanding of where transformations belong across the stack to ensure scalability and cost-efficiency.
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Customer Engagement & Advisory: Proven experience leading requirements discussions, managing expectations, and presenting analytical insights directly to internal customers and leadership.
Nice to Have (High Advantage):
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2+ years of practical experience working with SQL and modern cloud data architectures (e.g., Azure Databricks, Azure Data Lake / ADLS Gen2, Snowflake).
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Databricks Integration: Hands-on experience connecting Power BI to Azure Databricks (Delta tables, Databricks SQL Warehouses) with a solid grasp of storage modes (Import, DirectQuery, and Composite Models).
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Data Engineering Awareness: Familiarity with Delta Lake concepts/optimizations (e.g., Z-Ordering, Liquid Clustering) and cloud orchestration tools (e.g., Azure Data Factory).
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Core Competencies & Mindset
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Information Passion: Genuine enthusiasm for data storytelling, UI/UX clarity, and empowering internal customers through intuitive visual analytics.
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Continuous Learner: Strong curiosity to explore upstream data engineering patterns, Lakehouse architectures, and emerging analytics tools.