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.
Collaboration with Executive Leadership:
Partner closely with C-level executives and business unit managers overseeing sales, customer success and marketing to align on goals, strategies, and operational priorities.
Proactively present data-driven recommendations to improve efficiency, uncover revenue opportunities, and optimize the customer lifecycle.
Collaborate with leadership to evaluate and implement initiatives for revenue growth, such as new pricing models, sales motions, product strategies, or customer segmentation. Create alignment between initiatives and financial goals.
Process Optimization:
Continuously evaluate and improve sales & customer success processes to enhance efficiency and alignment.
Ensure smooth operations and data consistency across all revenue-generating systems and tools, enabling better decision-making.
Standardize processes for funnel management, pipeline & forecast tracking, and performance measurement to support scaling initiatives.
Revenue Performance Management:
Monitor and analyze performance against revenue goals, identifying gaps and areas for improvement.
Partner with revenue leaders to design, implement, and track performance incentives and operational KPIs.
Develop a deep understanding of the customer journey and identify critical touchpoints for improving conversion, retention, and satisfaction.
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.
Collaboration with Executive Leadership:
Partner closely with C-level executives and business unit managers overseeing sales, customer success and marketing to align on goals, strategies, and operational priorities.
Proactively present data-driven recommendations to improve efficiency, uncover revenue opportunities, and optimize the customer lifecycle.
Collaborate with leadership to evaluate and implement initiatives for revenue growth, such as new pricing models, sales motions, product strategies, or customer segmentation. Create alignment between initiatives and financial goals.
Process Optimization:
Continuously evaluate and improve sales & customer success processes to enhance efficiency and alignment.
Ensure smooth operations and data consistency across all revenue-generating systems and tools, enabling better decision-making.
Standardize processes for funnel management, pipeline & forecast tracking, and performance measurement to support scaling initiatives.
Revenue Performance Management:
Monitor and analyze performance against revenue goals, identifying gaps and areas for improvement.
Partner with revenue leaders to design, implement, and track performance incentives and operational KPIs.
Develop a deep understanding of the customer journey and identify critical touchpoints for improving conversion, retention, and satisfaction.
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.
