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
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