Staff Business Intelligence Analyst

About the role

The Staff Business Intelligence Analyst is a hands‑on engineering role focused on building the next generation of BI at Prodege. You will create trusted datasets, modern semantic models and self‑service reporting solutions in a Snowflake, dbt and Sigma cloud environment, partnering with product, marketing, finance and data teams to enable data‑driven decisions across the business.

About the company

Prodege is a cutting‑edge marketing and consumer insights platform that helps leading brands, marketers and agencies answer business questions, acquire customers, increase revenue and drive loyalty. Backed by a Blackstone investment in Q1 2026, the company emphasizes innovation, AI‑first engineering and a culture of creating rewarding moments for partners, consumers and employees.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Analytics, a quantitative discipline or equivalent practical experience
• 4+ years experience in Business Intelligence, Analytics Engineering, Data Analytics or related field
• Strong SQL skills with experience writing and optimizing complex analytical queries
• Hands‑on experience with Snowflake or another modern cloud data warehouse
• Experience using dbt or similar analytics engineering frameworks
• Experience building dashboards/reports using Sigma, Tableau, Looker, Power BI or comparable BI platforms
• Experience in AdTech, Performance Marketing, MarTech, marketplaces or consumer internet businesses
• Strong understanding of dimensional modeling and analytics engineering best practices
• Experience developing reusable datasets and scalable reporting solutions
• Understanding of KPI implementation, reporting consistency and trusted business metrics
• Strong analytical and problem‑solving skills
• Experience partnering with cross‑functional stakeholders to gather requirements and deliver analytics solutions
• Excellent communication skills, able to explain technical concepts to non‑technical audiences
• Experience using AI‑assisted development tools to improve SQL development, documentation or reporting workflows
• Ability to manage multiple priorities in a fast‑paced environment
• Nice to have: experience supporting experimentation platforms, A/B testing or product analytics
• Nice to have: familiarity with Iceberg or modern lakehouse technologies
• Nice to have: experience improving BI performance, query optimization and cost efficiency
• Nice to have: experience implementing data quality testing and analytics engineering best practices
• Nice to have: exposure to semantic modeling, reporting governance and analytics documentation
• Nice to have: experience mentoring junior BI engineers or analysts
• Nice to have: familiarity with AI‑first analytics workflows and modern BI engineering practices