Senior Analytics Engineer: Pricing, Data Modeling & BI

CI&T; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive Salary

Generous paid vacation days

Generous sick time

100% paid health & dental benefits

Annual profit-sharing distribution

Paid parental leave

Dedicated career advisor

Job summary

CI&T is seeking a Senior Analytics Engineer to design, maintain, and evolve data models powering business intelligence and analytics. 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, harmonizing KPIs across regions, and utilizing Databricks, Azure, and Python to deliver scalable data solutions.

Qualifications

• 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.
• 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.

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.

Skills

SQL

dbt

Databricks

Azure

Python

Power BI data modeling

Data quality

Tools

Power BI

dbt

Azure

Job description

CI&T is seeking a Senior Analytics Engineer to design, maintain, and evolve data models powering business intelligence and analytics. 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, harmonizing KPIs across regions, and utilizing Databricks, Azure, and Python to deliver scalable data solutions.