Loading...
Mid LevelFull-timePythonMachine LearningGo
Salary Range
$110,500 - $149,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Business Intelligence Analyst to join our team at Grant Street Group. This role focuses on building revenue and product insights to guide our growth, working at the intersection of data infrastructure, business intelligence, and revenue operations.
Key Responsibilities
- →Generate meaningful insights into products, operations, and business by working with management teams to identify and prioritize business questions that can be answered through data analysis.
- →Design and deliver compelling dashboards, reports, and visualizations using Tableau or similar tools to build actionable and understandable visualizations and self-service reporting.
- →Establish a metrics-driven culture across the revenue organization by defining core revenue, funnel, and client health metrics, implementing governance standards, and maintaining a regular reporting cadence.
- →Build predictive forecasting models and scenario analyses by developing forward-looking revenue forecasts, pipeline health views, and risk analyses using integrated data from CRM, finance, and product usage.
- →Serve as a subject matter expert and educator on business intelligence and data-driven decision making by educating product and go-to-market team members on data wrangling, reporting tools, and interpreting dashboards.
- →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.
- ✓Deep fluency in SaaS revenue metrics, forecasting, and financial modeling.
- ✓Strong SQL experience and knowledge of data modeling, warehousing, and ETL.
- ✓Familiarity with business intelligence or data visualization tools such as Tableau.
- ✓Experience developing and interpreting machine learning models.
- ✓Expert-level familiarity with modern go-to-market technology ecosystems (CRM, marketing automation, BI/analytics, CPQ).
- ✓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.
Free to sign up. Takes 30 seconds.
