Yield Operations Manager

1 week ago


Toronto ON, Canada SysAid Full time

SysAid, a pioneering SaaS company in Enterprise Service Management, is celebrated for innovation and industry leadership. Revolutionizing Enterprise Service Management with Generative AI.
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.

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.
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.
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.
5+ years in Revenue Operations, Business Analytics, or a related role, preferably in SaaS, technology, or a similar industry.
~ Bachelor’s degree in Business, Data Science, Statistics, Economics, or a related field.
~ Advanced proficiency in CRM platforms (e.Salesforce, HubSpot) and data analytics tools (e.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.



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