Staff Business Intelligence Analyst

Job Description:

Prodege:

 A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Blackstone in Q1 2026, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences. 

As an organization, we go the extra mile to “Create Rewarding Moments” every day for our partners, consumers, and team. Come join us today!

This is a role for someone who enjoys building more than dashboards.

We're looking for a Staff Business Intelligence Analyst to help build the next generation of Business Intelligence at Prodege. This is a deeply hands-on engineering role where you'll transform complex data into trusted reporting, scalable analytics models, and reusable data products that enable better decisions across the business.

You'll help build the analytics foundation that powers Product, Marketing, Finance, Customer Experience, Publisher Operations, Performance Marketing, and executive reporting. Working alongside Data Engineering, Analytics, and Machine Learning, you'll create reliable datasets, modern semantic models, and self-service reporting solutions that improve how the company uses data every day.

You'll work in a modern cloud analytics environment built around Snowflake, dbt, and Sigma while contributing to an AI-first engineering culture that values automation, quality, and continuous improvement.

This role focuses on delivering high-quality analytics solutions rather than defining long-term BI architecture or enterprise reporting strategy.

What You'll Own

• Trusted analytics datasets and reusable reporting assets

• Modern analytics data models built in Snowflake and dbt

• Dashboards and reporting products supporting business-critical decisions

• Self-service analytics experiences that improve data accessibility

• High-quality semantic models and KPI implementation

• Reliable reporting through testing, documentation, and data validation

• Cross-functional partnerships with Product, Marketing, Finance, Analytics, and Data Engineering

• Continuous improvement of BI engineering practices and AI-assisted development workflows

What Makes This Role Exciting

• Build analytics products that directly influence business growth and decision-making

• Work across Product, Marketing, Finance, Publisher Operations, Consumer Insights, and Performance Marketing

• Build modern analytics solutions using Snowflake, dbt, Sigma, and AI-assisted development tools

• Help improve self-service analytics across the organization

• Work with large-scale datasets supporting millions of users and high-volume business operations

• Collaborate closely with Data Engineering and Machine Learning to improve data availability and usability

• Grow your analytics engineering expertise while helping evolve Prodege's BI platform

What You'll Do

• Design, build, and maintain dashboards, reports, and analytics products that support business decision-making

• Develop and maintain analytics data models using dbt and Snowflake

• Build trusted datasets and reusable reporting assets that enable scalable self-service analytics

• Partner with Product, Marketing, Finance, Analytics, and business stakeholders to translate reporting needs into scalable BI solutions

• Implement KPI definitions and reporting standards established across the organization

• Optimize SQL queries, analytics models, and reporting performance

• Validate data quality through testing, monitoring, and documentation

• Support executive reporting and operational dashboards

• Collaborate with Data Engineering to improve data pipelines and data availability

• Troubleshoot reporting issues and continuously improve platform reliability

• Contribute to analytics engineering best practices including testing, documentation, version control, and code reviews

• Use AI-assisted development tools to improve SQL development, documentation, reporting workflows, and analytics productivity

• Mentor junior BI engineers and analytics engineers while sharing technical knowledge across the team

The MUST Haves

• Bachelor's degree in Computer Science, Engineering, Analytics, a quantitative discipline, or equivalent practical experience

• Four or more (4+) years of experience in Business Intelligence, Analytics Engineering, Data Analytics, or a 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 and 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 with the ability 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

The Nice to Haves

• Experience supporting experimentation platforms, A/B testing, or product analytics

• Familiarity with Iceberg or modern lakehouse technologies

• Experience improving BI performance, query optimization, and cost efficiency

• Experience implementing data quality testing and analytics engineering best practices

• Exposure to semantic modeling, reporting governance, and analytics documentation

• Experience mentoring junior BI engineers or analysts

• Familiarity with AI-first analytics workflows and modern BI engineering practices

Pay Transparency:

The anticipated salary range for this position is $160,000 to $180,000 The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc. Prodege is a multi-state employer and final compensation within this range could be impacted by work location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Prodege Benefits:

Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year.

Equal Employment Opportunity Statement

At Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.

FCIHO

Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.