Empresa: Mars
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 • Lead Requirements Discovery & Advisory: • Facilitate discovery workshops with internal customers and cross-functional teams to define KPIs, reporting logic, and dashboard UX wireframes. • Confidently advise internal customers on data visualization best practices, cognitive ergonomics, and user-centric analytical design. • Architect Robust Semantic Models & Dashboards: • Build scalable, high-performance Star Schema models (Fact and Dimension structures) adhering to enterprise modeling standards. • Author sophisticated DAX calculations, including complex time-intelligence patterns, dynamic metrics, semi-additive calculations, and Row-Level Security (RLS). • Design clean, executive-ready dashboard visualizations that drive actionable decision-making for your internal customers. • Optimize Performance & Transformation Placement: • Evaluate transformation placement across the entire pipeline (Source vs. Lakehouse vs. Power Query/DAX) to preserve query folding and maximize refresh efficiency. • Diagnose and resolve report and visual latency using tools such as Power BI Performance Analyzer, DAX Studio, and VertiPaq Analyzer. • Collaborate with Data Engineering: • Partner with Data Engineers to shape upstream Lakehouse tables, validate pipeline outputs, and ensure semantic models consistently meet internal customer service-level expectations. Qualifications & Experience Essential Experience: • 3–5+ years of dedicated, hands-on experience designing and developing enterprise Power BI solutions, semantic data models, and executive dashboards. • Expert Dimensional Modeling: Proven ability to build performant Star Schemas from multi-source enterprise environments. • 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. • Transformation Architecture: Clear understanding of where transformations belong across the stack to ensure scalability and cost-efficiency. • 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): • 2+ years of practical experience working with SQL and modern cloud data architectures (e.g., Azure Databricks, Azure Data Lake / ADLS Gen2, Snowflake). • 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). • Data Engineering Awareness: Familiarity with Delta Lake concepts/optimizations (e.g., Z-Ordering, Liquid Clustering) and cloud orchestration tools (e.g., Azure Data Factory). Core Competencies & Mindset • Information Passion: Genuine enthusiasm for data storytelling, UI/UX clarity, and empowering internal customers through intuitive visual analytics. • Continuous Learner: Strong curiosity to explore upstream data engineering patterns, Lakehouse architectures, and emerging analytics tools. #TBdigital