[Job-00026] Senior Analytics Engineer, Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-09). Last seen at its source 3h ago.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $93.8k–157.1k/yr
Middle 50% of 16 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 1d ago · last seen 3h ago
The listing
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.
We are looking for a Senior Analytics Engineer to design, maintain, and evolve data models that power business intelligence and analytical solutions. In this role, you will own the layered dbt data model, enabling reliable data consumption across Power BI and downstream applications.
You will play a key role in supporting the development of a pricing engine, enhancing item categorization and price elasticity analysis, and harmonizing KPIs across regions to establish a consistent, data-driven pricing methodology.
Responsibilities
- Own and evolve the layered dbt data model, ensuring reliable, consistent, and well-structured data for Power BI and downstream consumers.
- Develop and maintain data transformation workflows using dbt and SQL, following best practices for modularity, testing, documentation, and maintainability.
- Extend existing data models to support the pricing engine MVP, including item categorization and price elasticity analysis.
- Harmonize business KPIs across regions, ensuring consistent definitions and calculations to support a common pricing methodology.
- Build and optimize analytical data solutions using Databricks and Azure.
- Apply Python where needed to support data processing, analysis, and automation.
- Develop and maintain data models for Power BI, enabling accurate reporting and effective business insights.
- Ensure data quality, consistency, and usability across analytical models and downstream applications.
- Collaborate with business stakeholders, data teams, and regional teams to translate analytical requirements into scalable data solutions.
- Contribute to continuous improvements in data architecture, modeling practices, and analytics engineering standards.
Requirements for this challenge
- Strong experience in analytics engineering, data engineering, or a related data-focused role.
- Advanced proficiency in SQL and hands-on experience with dbt.
- Experience designing and maintaining layered data models for analytics and business intelligence.
- Experience with Databricks and Azure data environments.
- Proficiency in Python for data processing, analysis, or automation.
- Experience with Power BI, particularly data modeling and preparing data for reporting and analytics.
- Strong understanding of data quality, data validation, and consistent metric definitions.
- Ability to translate business requirements into robust, reusable data models.
- Strong analytical and problem-solving skills, with attention to detail and data accuracy.
- Excellent communication and collaboration skills, including the ability to work with stakeholders across different regions.
Nice to Have
- Experience supporting pricing, revenue optimization, or commercial analytics initiatives.
- Knowledge of price elasticity, product categorization, and pricing performance metrics.
- Experience harmonizing KPIs and business definitions across regions or markets.
- Familiarity with modern data architecture and scalable analytical data platforms.
- Experience with data testing, documentation, lineage, and governance practices.
- Ability to balance technical modeling decisions with business priorities and analytical needs.