Senior Reporting Analyst / BI Solutions Specialist

Mars; Arujá; Presencial; BRL 140 000 - 200 000; Tempo integral

Resumo da oferta

Mars in São Paulo, Brazil seeks a Senior Reporting Analyst to lead design and delivery of BI solutions, combining Power BI expertise with dimensional modeling to create executive dashboards.

You will bridge internal customers and cloud data engineering teams, translating requirements into robust semantic models and high-performance reports, while optimizing data flows from Lakehouse to semantic layers.

Qualificações

• 3–5+ years designing and developing enterprise Power BI solutions, semantic data models, and executive dashboards.
• Expert Dimensional Modeling: ability to build performant Star Schemas from multi-source environments.
• Advanced DAX & Power Query (M): write maintainable measures, dynamic security (RLS/OLS), and full query folding awareness.
• Transformation Architecture: understand where transformations belong across the stack for scalability and cost-efficiency.
• Customer Engagement & Advisory: lead requirements discussions and present analytical insights to internal customers and leadership.

Responsabilidades

• Lead Requirements Discovery & Advisory with internal customers to define KPIs, logic, and dashboard UX.
• Advise on data visualization best practices, cognitive ergonomics, and user-centric analytics design.
• Architect semantic models & dashboards: build scalable Star Schema models with Fact and Dimension structures.
• Author advanced DAX calculations with time-intelligence, dynamic metrics, and RLS.
• Design executive-ready dashboards that drive decision-making for internal customers.
• Evaluate transformation placement to preserve query folding and maximize refresh efficiency.
• Collaborate with Data Engineers to shape upstream Lakehouse tables and validate pipelines.

Conhecimentos

Power BI

Dimensional Modeling

DAX

Power Query

RLS

Azure Databricks

Azure Data Lake

Snowflake

Delta Lake

Azure Data Factory

Ferramentas

Azure Databricks

Azure Data Lake / ADLS Gen2

Snowflake

Delta Lake

Azure Data Factory

Descrição da oferta de emprego

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