Salary
💰 $65,000 - $82,000 per year
Tech Stack
PythonSQLTableau
About the role
- Design and implement statistical models to forecast revenue, identify performance trends, and support business planning
- Conduct deep-dive analyses on pipeline health, conversion rates, and customer segmentation
- Build predictive models for lead scoring, churn risk, territory optimization, and other revenue-impacting initiatives
- Partner with cross-functional teams to ensure analytics are aligned with business goals and priorities
- Collaborate with data engineering and IT teams to ensure data integrity, accessibility, and scalability for analytics use cases
- Define and maintain key performance indicators to monitor business health and drive accountability
- Support CRM governance and data quality initiatives to ensure reliable reporting and analysis
- Present analytical findings clearly to technical and non-technical audiences and influence strategic decisions through scenario modeling, forecasting, and performance benchmarking
- Champion a culture of data-driven decision-making and continuous improvement across Revenue Operations
- Stay current with industry trends, statistical techniques, and emerging technologies and find opportunities to automate and streamline reporting and analysis processes
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, or a related field.
- 3+ years of experience in analytics
- Proficiency in statistical tools (e.g., R, Python, SAS) and SQL
- Experience with regression analysis, forecasting, hypothesis testing, and predictive modeling
- Authorized to work in the United States without sponsorship now and in the future
- Experience working in Revenue Operations or a B2B environment (preferred)
- MBA or Master’s in related field (preferred)
- Strong eye for business and ability to connect analytics to strategic goals (preferred)
- Excellent communication and storytelling skills with data (preferred)
- Familiarity with CRM systems (e.g., Salesforce) and BI tools (e.g., Tableau, Power BI) is a plus (preferred)