[Job-32428] Senior Data & Analytics Specialist, Brazil
At a glance
Senior Data Analysis & BI role at CI&T. Remote, Brazil.
Pay not stated Data Analysis & BI salary
remoteroles summary, based on the employer's posting.
What you'll do
- Turn existing data views into dimensional models with facts, dimensions, marts and slowly changing records
- Build and tune Snowflake structures, then control access through role-based permissions
- Create Power BI semantic models with DAX and Power Query to support enterprise reports
- Move existing reports onto the new data foundation and improve dashboards using supply chain needs
- Build and monitor Python integration pipelines, gather requirements and validate solutions with client leaders
What you bring
- You communicate fluently in English, at B2 to C1 level, in writing and conversation
- You have designed dimensional models and delivered Snowflake implementations, including performance tuning and access controls
- You have built Power BI semantic models and reports using DAX and Power Query against a cloud warehouse
- You bring production pipeline experience, advanced SQL and Python, plus direct work with business stakeholders
Who this fits
This senior role suits a hands-on analytics developer who can shape data models and work directly with client management and product leaders. The position is remote in Brazil and involves English-language collaboration with global teams.
From the employer
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
Our client is a global leader in the consumer packaged goods (CPG) industry. Its supply chain division is moving reporting to a cloud data warehouse. A first migration kept reports running, and the semantic models now need structure and best practices. This role opens a new engagement and shapes the data foundation that every future report depends on.
The Analytics Developer Senior turns existing data views into a reliable dimensional model and builds the semantic layer that feeds business dashboards. Once the model is stable, the professional evolves current dashboards and proposes new ones. The role combines hands-on development with direct interaction with client management and product leadership.
Responsibilities:
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Data modeling: Designs dimensional and enterprise data models (star schema, fact and dimension tables, slowly changing dimensions, surrogate keys, data marts) by translating existing views into a structured, high-quality model.
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Snowflake development: Builds and tunes Snowflake structures by applying best practices in architecture, performance, and role-based access control.
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Semantic models: Builds and optimizes Power BI semantic models with Data Analysis Expressions (DAX) and Power Query, connected to the cloud data warehouse.
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Reporting: Develops enterprise-grade reports and migrates existing ones to the new data foundation.
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Dashboard evolution: Improves current dashboards and proposes new ones by learning supply chain data and business needs.
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Data integration: Builds and monitors data integration pipelines with Python and orchestration tools such as Azure Data Factory, using standardized ingestion frameworks.
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Business partnership: Gathers requirements, leads workshops, and validates solutions with client management and product leadership by co-creating solutions instead of taking orders.
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Agile delivery: Works in agile teams and takes part in team ceremonies to deliver in short cycles.
Requirements:
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Fluent English (B2 to C1), verbal and written, for global interaction
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Proven experience designing dimensional and enterprise data models (star schema, fact and dimension tables, slowly changing dimensions, surrogate keys, data marts)
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Hands-on Snowflake development, including architecture, performance tuning, role-based access control, and end-to-end implementations
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Proven experience building and optimizing Power BI semantic models, Data Analysis Expressions (DAX), Power Query, and enterprise-grade reports connected to a cloud data warehouse
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Hands-on experience with data integration pipelines in production, preferably Azure Data Factory (equivalent experience in other cloud platforms is considered), and familiarity with standardized ingestion frameworks
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Advanced SQL and Python for pipelines and automation
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Proven experience working directly with business stakeholders in requirements gathering, workshops, co-creation, and solution validation (not an order-taker profile)
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Solid experience in agile teams and their ceremonies
Nice to Have:
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DevOps practices: Git, Azure DevOps, and continuous integration and delivery (CI/CD) for database change promotion
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Understanding of SAP data structures and extraction patterns
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Experience in the CPG industry, especially with supply chain data
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Experience with sell-in, sell-out, and retail or market research data
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Certifications such as SnowPro Core or Advanced and Azure Data Engineer Associate
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Conversational Spanish for LATAM interaction