Senior Manager, Revenue Operations & Commercial Analytics

New

JobgetherHealthcare technology

Based in CanadaFull-TimeManager

Salary120,000 - 140,000 USD per year

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Job Details

Experience: At least eight years of progressively responsible experience in Revenue Operations, Sales Operations, Commercial Analytics, Business Intelligence, Forecasting, or a related discipline.
Required Skills: SQLMicrosoft Power BITableauMicrosoft Excel

Bachelor’s degree in Business, Analytics, Finance, Economics, Engineering, Statistics, Mathematics, Data Science, or a related field.
At least eight years of progressively responsible experience in Revenue Operations, Sales Operations, Commercial Analytics, Business Intelligence, Forecasting, or a related discipline.
Professional experience in medical devices, healthcare technology, life sciences, diagnostic imaging, capital equipment, or a comparable industry.
Demonstrated success supporting executive leadership with strategic analytics, business insights, performance management, and data-driven recommendations.
Expertise in sales pipeline management, revenue forecasting, revenue planning, funnel governance, and executive reporting.
Advanced proficiency in Microsoft Excel, SQL, Power BI, Tableau, and other data analysis and visualization tools.
Strong understanding of commercial operations, CRM platforms, sales processes, pricing frameworks, and revenue and profitability drivers.
Experience developing forecasting methodologies, scenario models, and predictive analytics for commercial and operational planning.
Ability to influence stakeholders and lead cross-functional initiatives involving Sales, Marketing, Supply Chain, Manufacturing, Finance, and Product teams.
Experience combining third-party market intelligence, customer information, and internal performance metrics to inform commercial strategy.
A master’s degree, MBA, or master’s qualification in analytics is preferred.

Analyze market opportunities, sales performance, pipeline health, and customer penetration to identify growth opportunities.
Develop insights for territory planning, account prioritization, sales strategies, and resource allocation.
Develop and maintain revenue forecasts using pipeline data, historical performance, market intelligence, and sales trends.
Translate commercial demand forecasts into production and operational planning requirements with Supply Chain, Manufacturing, and Product teams.
Improve pipeline visibility, opportunity accuracy, funnel governance, and forecast reliability with Sales Leadership.
Design and enhance reporting and business intelligence solutions using commercial, financial, and operational data.
Build self-service analytics capabilities and establish data governance standards, reporting definitions, and quality controls.
Evaluate pricing effectiveness and support pricing strategy through market analysis, margin assessments, and deal-level evaluations.

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