Remote opportunity at
CI&T[Job-00026] Senior Analytics Engineer, Brazil
CI&T is hiring a full-time Senior Analytics Engineer for Brazil, listed as a remote role. The company helps large enterprises turn AI into measurable business results…
Career Tools
About This Role
CI&T is hiring a full-time Senior Analytics Engineer for Brazil, listed as a remote role. The company helps large enterprises turn AI into measurable business results through AI deployment, application modernization, data and AI services, martech and business strategy. It reports about 8,000 staff across more than 25 countries. The engineer owns and develops the layered dbt model that feeds Power BI and other downstream tools, aiming for dependable, consistent…
Job Description
CI&T is hiring a full-time Senior Analytics Engineer for Brazil, listed as a remote role. The company helps large enterprises turn AI into measurable business results through AI deployment, application modernization, data and AI services, martech and business strategy. It reports about 8,000 staff across more than 25 countries.
The engineer owns and develops the layered dbt model that feeds Power BI and other downstream tools, aiming for dependable, consistent and well-organized data. The role contributes to a pricing engine MVP by extending models for item categories and price elasticity studies, and it reconciles business metrics across regions so pricing follows one methodology. Other work includes building analytical data solutions on Databricks and Azure and using Python for processing, analysis and automation.
The engineer keeps dbt and SQL workflows modular, tested and documented, builds Power BI models for accurate reporting, and verifies data quality and consistency across models. Working with business leads, data teams and regional colleagues, the engineer converts analytical requests into scalable solutions and helps raise modeling and analytics engineering standards.
The posting asks for a track record in analytics or data engineering, or in closely similar data-centric work, plus advanced SQL and hands-on dbt use. Designing layered models, working in Databricks and Azure, applying Python, and readying data for Power BI are also expected. Candidates should understand data quality, validation and metric definitions, and turn business needs into reusable models. Work in pricing, margin optimization or commercial analysis is a plus.
Applicants with disabilities are invited to share their assessment during selection so that support and accommodations can be arranged.
Responsibilities
- Own and advance the layered dbt model powering Power BI and downstream consumers
- Maintain modular, tested and documented dbt and SQL transformation workflows
- Extend models that feed the pricing engine MVP, covering item categorization and price elasticity
- Align business KPIs across regions under one pricing methodology
- Build and tune analytical data solutions on Databricks and Azure
- Use Python for processing, analysis and automation
- Develop and maintain Power BI data models for reporting
- Keep data quality, consistency and usability high across models
- Turn requirements from business and regional teams into scalable data solutions
Requirements
- Solid background in analytics or data engineering, or a neighboring data-centric job
- Advanced SQL and hands-on dbt experience
- History of designing and sustaining layered analytics and BI models
- Practical familiarity with Databricks and Azure data platforms
- Python for processing, analysis or automation
- Power BI data modeling and report-ready data preparation
- Grasp of data quality, validation and consistent metric definitions
- Ability to convert business needs into durable, reusable models
- Strong analysis, attention to detail and cross-regional communication
Qualifications
- Hands-on work backing pricing, margin optimization or commercial analysis efforts
- Knowledge of price elasticity, product categories and pricing metrics
- Experience aligning KPIs and definitions across regions or markets
- Exposure to current data architecture patterns and scalable analytics platforms
- Background covering testing, documentation, lineage and governance of data
- Ability to weigh modeling choices against business priorities
Core Skills
Benefits
- Health and dental insurance, plus life insurance
- Meal allowance, help with childcare costs and extended paternity leave
- Wellhub (Gympass) TotalPass gym and wellness partnership, plus a free wellbeing platform
- Profit-sharing scheme (PLR)
- CI&T University, online learning and language learning partnerships, and a discount club
- Pregnancy and responsible parenting course
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is the CI&T Senior Analytics Engineer role remote?
The listing says remote, and the job title refers to Brazil. The posting gives no further location details.
Which skills matter most?
Advanced SQL, hands-on dbt, layered data modeling and Power BI data modeling are central. Databricks, Azure and Python are also required.
What benefits are listed?
The posting lists health and dental insurance, life insurance, a meal allowance, childcare assistance, profit sharing, wellness programs and learning platforms.
Is a salary stated?
The posting does not specify a salary or pay range.
Are accommodations available during hiring?
Yes. The posting invites candidates with disabilities to share their assessment during selection so that support and accommodations can be arranged.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.