Senior Analytics Engineer

• Design, maintain, and evolve data models powering business intelligence and analytical solutions
• Own and evolve the layered dbt data model for reliable data consumption across Power BI and downstream applications
• Develop and maintain modular, tested, documented, and maintainable dbt and SQL data transformation workflows
• Extend data models to support the pricing engine MVP, item categorization, and price elasticity analysis
• Harmonize business KPIs across regions to support a common pricing methodology
• Build and optimize analytical data solutions using Databricks and Azure
• Apply Python for data processing, analysis, and automation
• Develop and maintain Power BI data models for accurate 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 on scalable data solutions
• Contribute to improvements in data architecture, modeling practices, and analytics engineering standards

• 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

• 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