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:

• 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.

• Snowflake development: Builds and tunes Snowflake structures by applying best practices in architecture, performance, and role-based access control.

• Semantic models: Builds and optimizes Power BI semantic models with Data Analysis Expressions (DAX) and Power Query, connected to the cloud data warehouse.

• Reporting: Develops enterprise-grade reports and migrates existing ones to the new data foundation.

• Dashboard evolution: Improves current dashboards and proposes new ones by learning supply chain data and business needs.

• Data integration: Builds and monitors data integration pipelines with Python and orchestration tools such as Azure Data Factory, using standardized ingestion frameworks.

• Business partnership: Gathers requirements, leads workshops, and validates solutions with client management and product leadership by co-creating solutions instead of taking orders.

• Agile delivery: Works in agile teams and takes part in team ceremonies to deliver in short cycles.

Requirements:

• Fluent English (B2 to C1), verbal and written, for global interaction

• Proven experience designing dimensional and enterprise data models (star schema, fact and dimension tables, slowly changing dimensions, surrogate keys, data marts)

• Hands-on Snowflake development, including architecture, performance tuning, role-based access control, and end-to-end implementations

• 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

• 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

• Advanced SQL and Python for pipelines and automation

• Proven experience working directly with business stakeholders in requirements gathering, workshops, co-creation, and solution validation (not an order-taker profile)

• Solid experience in agile teams and their ceremonies

Nice to Have:

• DevOps practices: Git, Azure DevOps, and continuous integration and delivery (CI/CD) for database change promotion

• Understanding of SAP data structures and extraction patterns

• Experience in the CPG industry, especially with supply chain data

• Experience with sell-in, sell-out, and retail or market research data

• Certifications such as SnowPro Core or Advanced and Azure Data Engineer Associate

• Conversational Spanish for LATAM interaction

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