Business Intelligence Analyst

Grant Street Group provides quality software and support for tax collection, ePayments, and auctions to government entities. They are seeking a Business Intelligence Analyst with a strong technical background in BI development and analytics to design and deliver scalable analytics, dashboards, and revenue intelligence capabilities.

Responsibilities:

• Generate meaningful insights into our products, operations, and business
• Work with management teams to identify and prioritize business questions that can be answered or informed by data analysis
• Have an experimentation mindset - create prototypes, iterate on feedback, and move quickly to figure out how to provide useful information to a variety of stakeholders
• Design and deliver compelling dashboards, reports, and visualizations
• Use Tableau (or similar tools) to build actionable and understandable visualizations and self‑service reporting that help internal teams and clients improve their operations and make better decisions
• Establish a metrics‑driven culture across the revenue organization
• Define core revenue, funnel, and client health metrics; implement governance standards; maintain a regular reporting cadence; and support a culture of clear accountability, performance standards, and continuous improvement
• Build predictive forecasting models and scenario analyses
• Develop forward‑looking revenue forecasts, pipeline health views, and risk analyses using integrated data from CRM, finance, and product usage; provide board‑ready insights and clear narratives around performance and outlook
• Serve as a subject matter expert and educator on business intelligence and data‑driven decision making
• Educate product and go‑to‑market team members on basic data wrangling, reporting tools, and how to interpret dashboards; stay up to date on data visualization trends and technologies; and closely collaborate with the Grant Street Data Analytics team
• Understand and help maintain high‑quality data pipelines and business intelligence infrastructure

Requirements:

• 3+ years of progressive experience in Business Intelligence, Analytics, or related roles within a fast‑growing B2B SaaS or technology company, with demonstrated ownership of revenue or product analytics
• Deep fluency in SaaS revenue metrics, forecasting, and financial modeling, with the ability to connect analytics to business strategy and outcomes
• Strong SQL experience and knowledge of data modeling, warehousing, and ETL; ability to combine multiple data sources to create clean datasets for analysis
• Familiarity with business intelligence or data visualization tools such as Tableau, with experience designing dashboards that are both actionable and understandable for non‑technical stakeholders
• Experience developing and interpreting machine learning models
• Expert‑level familiarity with modern go‑to‑market technology ecosystems (CRM, marketing automation, BI/analytics, CPQ), and a proven ability to own and evolve CRM environments such as Salesforce or comparable enterprise platforms
• Knowledge of scripting languages such as Python
• Demonstrated ability to architect analytics platforms, build predictive models, and translate complex data into simple, actionable insights
• Exceptional written and verbal communication skills, including experience presenting analysis and recommendations to executive leadership