Strategic Finance Analytics Manager

About the role

The Strategic Finance Analytics Manager is a newly created role that builds and leads the financial modelling and analytics capability at the core of PointClickCare’s strategic finance function. The role delivers the models, tools, and decision support that enable leadership to drive profitability, optimize commercial strategy, and allocate resources with precision.

Key responsibilities

• Build and maintain in-house financial and profitability models that evaluate revenue and margin implications of strategic decisions.
• Run scenario and sensitivity analyses on packaging, pricing changes, GTM strategies, and investment trade‑offs.
• Apply AI/ML tools, including LLMs and predictive modelling, to accelerate modelling, scenario generation, and reporting.
• Build scalable, self‑serve analytics tools for Finance, Pricing, Sales Ops, and business unit leaders.
• Evaluate pricing changes through quantitative modelling of customer, revenue, and margin impact across segments and geographies.
• Track pricing and monetization KPIs (discount compliance, revenue realization, contribution margin) against targets.
• Deliver regular profitability and commercial performance reporting to ELT and GTM leadership.
• Partner with FP&A and Sales Ops to integrate pricing and profitability analytics into forecast and planning cycles.
• Act as primary analytical partner to Pricing, Sales Enablement, and business unit leaders, translating complex analysis into actionable recommendations.

Required profile

• University degree in Finance, Business, Economics, or a related quantitative field.
• 5–7 years of experience in financial analysis, FP&A, or quantitative/strategic finance in a SaaS or technology environment.
• Exceptional financial modelling and scenario‑analysis skills with a proven track record building revenue, profitability, or pricing models.
• Hands‑on experience applying AI/ML tools (including LLMs and predictive modelling) to modernize modelling and reporting workflows.

Required skills

• Financial modelling
• AI/ML (LLMs, predictive modelling)
• Power BI
• Salesforce (Revenue Cloud Advanced)