We seek an analytically driven and strategic Revenue Operations Manager to join our team. This role will be a critical partner to our C-level executives and revenue-focused leaders, leveraging data to identify growth opportunities, optimize processes, and drive actionable insights that enhance the customer journey and revenue performance.
Key Responsibilities:
Data-Driven Insights & Analytics
Serve as a trusted advisor to C-level executives, delivering regular, actionable insights based on in-depth analysis of key revenue, customer, and operational data.
Develop and maintain revenue forecasting models and predictive analytics to proactively identify opportunities, risks, and trends.
Analyze customer behavior, pipeline performance, and market data to recommend growth and operational improvement strategies.
Create and maintain dashboards and reports that provide visibility into KPIs covering the revenue funnel as well as customer-focused metrics such as churn, retention, and upsell opportunities.
Requirements:
5+ years in Revenue Operations, Business Analytics, or a related role, preferably in SaaS, technology, or a similar industry.
Bachelors degree in Business, Data Science, Statistics, Economics, or a related field.
Advanced proficiency in CRM platforms (e.g., Salesforce, HubSpot) and data analytics tools (e.g., Tableau, Looker, Power BI, Excel).
Knowledge of SQL, Python, or other data analysis languages is a plus.
Exceptional ability to synthesize large datasets into actionable business insights.
Proven experience collaborating with senior executives and influencing cross-functional teams.
Strong communication, storytelling, and presentation skills to share data-driven insights effectively.
5+ years in Revenue Operations, Business Analytics, or a related role, preferably in SaaS, technology, or a similar industry.
Bachelors degree in Business, Data Science, Statistics, Economics, or a related field.
Advanced proficiency in CRM platforms (e.g., Salesforce, HubSpot) and data analytics tools (e.g., Tableau, Looker, Power BI, Excel).
Knowledge of SQL, Python, or other data analysis languages is a plus.
Exceptional ability to synthesize large datasets into actionable business insights.
Proven experience collaborating with senior executives and influencing cross-functional teams.
Strong communication, storytelling, and presentation skills to share data-driven insights effectively.
This position is open to all candidates.
