Senior FP&A Analyst

Upshop; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Upshop, a leading SaaS provider for Total Store Operations, is hiring a Senior FP&A Analyst in Toronto. You will own driver-based financial models, forecast cycles, and executive-ready analyses, partnering with Sales, Product, Engineering, and G&A to turn data into strategic insights.

Ideal candidates have 4–6 years FP&A experience, strong SaaS metrics knowledge, and hands-on AI tooling experience. This role offers growth in a global, fast-moving finance function with competitive compensation.

Qualifications

• 4–6 years in FP&A, corporate finance, investment banking, consulting, or a similarly analytical role.
• Demonstrated ability to build driver-based financial models from source data — not just update existing templates.
• Working knowledge of SaaS and GTM metrics: ARR, bookings, recurring revenue, retention, churn, expansion, gross margin, CAC, Rule of 40, pipeline, and cash flow.
• Hands-on experience using AI tools (e.g., ChatGPT, Copilot, Claude) to speed up analysis, documentation, or reporting.
• Advanced Excel: complex formulas, pivots, lookups, data validation, and model design.
• Strong PowerPoint and written communication skills — able to build concise, executive-ready materials.
• Comfortable working with large or messy datasets and turning them into a clear takeaway.

Responsibilities

• Execute the core monthly FP&A cycle: financial reporting, variance analysis, forecasting, and management reporting.
• Build and maintain driver-based models for ARR, revenue, headcount, opex, EBITDA, and cash flow, working from source data.
• Develop scenario and sensitivity analyses that quantify the impact of changes in growth, sales productivity, retention, hiring, spend, and other key business drivers.
• Analyze core SaaS and GTM metrics — ARR, bookings, pipeline, sales capacity/productivity, churn, retention, expansion, gross margin, CAC, Rule of 40, pipeline coverage, win rate, sales cycle length, and quota attainment.
• Partner with functional leaders to validate assumptions, surface risks and opportunities, and track performance against plan.
• Support the annual operating plan, monthly reforecast, and ad hoc business cases.
• Produce concise, executive-ready presentations, dashboards, memos, and analysis for leadership, QBRs, and Board-related materials.
• Build and maintain AI-enabled workflows like rolling forecast updates and forecast-vs-actual variance analysis, with appropriate review and data-security controls.
• Identify and implement process and template improvements that make Finance faster and more scalable.

Skills

Financial modeling

Advanced Excel

Data analysis

Presentation skills

AI tools usage

Education

Bachelor's degree in Finance, Accounting, Economics, or related field

Tools

SQL

Python

NetSuite

Adaptive Planning

Job description

Upshop is the market leader in Total Store Operations solutions for grocery and convenience retail. Our AI-powered SaaS platform connects Fresh, Center, eCommerce, and DSD operations to create a simpler, smarter, and more connected store experience. More than 450 retail chains trust Upshop across 50,000+ stores in 35 countries.

The Opportunity

Upshop is looking for a Senior FP&A Analyst to strengthen a fast-moving Finance function. This is a hands-on role for someone who builds financial models well, understands SaaS economics, and uses AI and automation to make Finance faster and more accurate.

Reporting to the Manager, FP&A, you'll partner with Sales, Product, Engineering, Customer Success, and G&A to turn data into clear, decision-ready analysis. You'll own your models and analyses end to end and bring a point of view — not just a number — when you present to Finance leadership.

Responsibilities

• Execute the core monthly FP&A cycle: financial reporting, variance analysis, forecasting, and management reporting.
• Build and maintain driver-based models for ARR, revenue, headcount, opex, EBITDA, and cash flow, working from source data rather than static templates.
• Develop scenario and sensitivity analyses that quantify the impact of changes in growth, sales productivity, retention, hiring, spend, and other key business drivers.
• Analyze core SaaS and GTM metrics — ARR, bookings, pipeline, sales capacity/productivity, churn, retention, expansion, gross margin, CAC, Rule of 40, pipeline coverage, win rate, sales cycle length, and quota attainment — and flag what's moving and why.
• Partner with functional leaders to validate assumptions, surface risks and opportunities, and track performance against plan.
• Support the annual operating plan, monthly reforecast, and ad hoc business cases.
• Produce concise, executive-ready presentations, dashboards, memos, and analysis for leadership, QBRs, and Board-related materials.
• Build and maintain AI-enabled workflows like rolling forecast updates and forecast-vs-actual variance analysis, with appropriate review and data-security controls.
• Identify and implement process and template improvements that make Finance faster and more scalable.

Required Qualifications

• Bachelor's degree in Finance, Accounting, Economics, or a related field.
• 4–6 years in FP&A, corporate finance, investment banking, consulting, or a similarly analytical role.
• Demonstrated ability to build driver-based financial models from source data — not just update existing templates.
• Working knowledge of SaaS and GTM metrics: ARR, bookings, recurring revenue, retention, churn, expansion, gross margin, sales productivity, pipeline, and cash flow.
• Hands-on experience using AI tools (e.g., ChatGPT, Copilot, Claude) to speed up analysis, documentation, or reporting — be ready to show a real example.
• Advanced Excel: complex formulas, pivots, lookups, data validation, and model design.
• Strong PowerPoint and written communication skills — able to build concise, executive-ready materials.
• Comfortable working with large or messy datasets and turning them into a clear takeaway.

Preferred Qualifications

• Experience with [insert Upshop's actual planning/BI stack, e.g., NetSuite and Adaptive Planning]; SQL or Python a plus for larger datasets.
• SaaS, technology, or private-equity-backed operating environment experience.
• Progress toward CPA or CFA.
• Retail, grocery, convenience, or multi-location operations experience — a plus, not required.

Why Upshop

• Direct exposure to senior Finance leaders and real business decisions.
• Help build modern FP&A capability — driver-based planning, scenario modeling, AI-enabled workflows.
• Broad exposure across a global, growing SaaS business.
• Collaborative, entrepreneurial team that values ownership and rigor.
• Competitive compensation, flexible work arrangements, and real growth path.