Support Renewals and BDR teams with FY planning, territory segmentation, quota setting, forecasting, and data modeling. Analyze large datasets, build dashboards and executive reports in SQL/Tableau/Python, identify trends, and drive data-informed decisions across sales organizations.
Salary not listed
Hybrid6+ YOERevenue Operations
About the role
Role Responsibilities
Collect, clean, and validate data from various sources to ensure accuracy and completeness
Develop and maintain dashboards, reports, and visualizations using tools such as Excel, G-Sheets, Power BI, Tableau, Python, SQL, Designer and more
Analyze data to identify trends, patterns, and outliers, and present actionable insights to stakeholders
Prepare executive level decks and representations of analysis for QBRs, planning, and ad hoc needs
Work with stakeholders to define key performance indicators (KPIs) and track performance over time
Create and maintain documentation for data processes and data dictionaries
Collaborate with IT, RevOps, Marketing, CS, and Sales to improve data quality and data infrastructure
Support ad-hoc data requests and provide timely reporting as needed
Support FY planning, territory segmentation, and quota setting within Renewals and BDR organizations
Engage in forecasting, bookings, historical trending, and modeling
Identify trends, provide insights, and help drive data-informed decisions
Automate and streamline processes and data sets, create single sources of truth, and work cross-organizationally
Role Requirements
Bachelor’s degree in Statistics, Mathematics, Computer Science, Business, or a related field
6+ years of experience in a data analysis or related role
Proficiency in Big Query, SQL, Designer, SFDC, and Tableau and at least two data analysis tools (e.g., Excel, Python, R)
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Strong analytical and problem-solving skills
Communication skills, both written and verbal
Preferred Qualifications
Knowledge and expertise in Renewals and Inside Sales business mechanics, metrics, and processes
Knowledge of A/B testing, predictive modeling, or machine learning basics
Familiarity with CRM or ERP systems (e.g., Salesforce, SAP)
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