Senior Analytics Engineer

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Design, maintain, and enhance data models that drive business intelligence and analytical solutions.

• Take ownership of the layered dbt data model to ensure reliable data consumption across Power BI and downstream applications.

• Develop and sustain modular, tested, documented, and maintainable dbt and SQL data transformation workflows.

• Extend data models to facilitate the pricing engine MVP, item categorization, and price elasticity analysis.

• Align business KPIs across various regions to support a unified pricing methodology.

• Construct and optimize analytical data solutions utilizing Databricks and Azure.

• Utilize Python for data processing, analysis, and automation tasks.

• Develop and manage Power BI data models for precise reporting and business insights.

• Ensure data quality, consistency, and usability across analytical models and downstream applications.

• Collaborate with business stakeholders, data teams, and regional teams to create scalable data solutions.

• Contribute to advancements in data architecture, modeling practices, and analytics engineering standards.

⛳️ Requirements

• Extensive experience in analytics engineering, data engineering, or a similar data-centric role.

• Advanced SQL proficiency and hands-on experience with dbt.

• Experience in designing and maintaining layered data models for analytics and business intelligence purposes.

• Familiarity with Databricks and Azure data environments.

• Proficient in Python for data processing, analysis, or automation tasks.

• Experience with Power BI, especially in data modeling and preparing data for reporting and analytics.

• Strong comprehension of data quality, data validation, and consistent metric definitions.

• Ability to convert business requirements into robust, reusable data models.

• Excellent analytical and problem-solving abilities, with a keen eye for detail and data accuracy.

• Outstanding communication and collaboration skills, including the capacity to work with stakeholders across various regions.

• Experience in supporting pricing, revenue optimization, or commercial analytics initiatives.

• Knowledge of price elasticity, product categorization, and pricing performance metrics.

• Experience in harmonizing KPIs and business definitions across different regions or markets.

• Familiarity with modern data architecture and scalable analytical data platforms.

• Experience in data testing, documentation, lineage, and governance practices.

• Ability to balance technical modeling decisions with business priorities and analytical needs.

🏝️ Benefits

• Competitive Salary

• Generous paid vacation days

• Generous sick time

• 100% paid health & dental benefits starting day one

• Annual profit-sharing distribution

• Paid parental leave

• Dedicated career advisor