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DataVisorDA

Senior Strategic Financial Analyst - Canada

DataVisor is an AI-powered fraud and risk management platform that utilizes unsupervised machine learning to help enterprises detect and prevent various digital threats in real-time.

DataVisor

Employee count: 51-200

Salary: 80k-120k USD

Canada only

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DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

We are looking for a data-driven and operationally minded Senior Strategic Financial Analyst to serve as a key architect of our financial planning and reporting infrastructure.

In this high-visibility role, you will go beyond traditional reporting to act as a strategic partner to our GTM, R&D, and Operations leaders. You will not only track the numbers but also define how we track them—bridging the gap between our CRM (Salesforce) and Finance systems to ensure data integrity. If you are a proactive problem-solver with 5+ years of experience who loves building models, optimizing deal structures, and uncovering insights that drive revenue efficiency, we want to hear from you.

Key Responsibilities:

1. Strategic Planning & Metric Architecture

  • KPI Definition: Design and maintain a comprehensive set of SaaS metrics (e.g., ARR, NRR, CAC, LTV, Magic Number) to track performance across Revenue, R&D, and Support.
  • Financial Modeling: Build and refine sophisticated financial models to analyze revenue streams, customer segmentation, pricing strategies, and sales team productivity.
  • FP&A Leadership: Partner with the VP of Finance to drive the annual budgeting and quarterly forecasting process, incorporating real-time insights from operational data.

2. GTM Operations & Deal Desk Partnership

  • Deal Strategy: Serve as the financial partner to the Deal Desk and Sales Leadership; analyze pricing, deal profitability, non-standard contract terms, and revenue recognition implications, provide suggestions and input to define and shape the contract and order form structure
  • Compensation Analysis: Analyze the ROI of sales compensation plans and GTM organizational structure to ensure alignment with company growth targets.
  • Ad-Hoc Strategy: Conduct deep-dive analyses on specific business questions (e.g., new market entry, product margin analysis) to support executive decision-making.

3. Systems, Data Governance & Process Improvement

  • CRM to Finance Integration: Spearhead the integration between GTM systems (Salesforce) and financial systems (ERP/Planning tools).
  • Data Governance: Define the "source of truth" for sales data. Implement quality controls to ensure the accurate flow of booking and revenue data into financial reporting.
  • Process Engineering: Develop standardized operating procedures (SOPs) for financial analysis to move the department from ad-hoc reporting to scalable, automated frameworks.

Requirements

  • Experience: 5+ years of progressive experience in FP&A, Strategic Finance, or Sales Operations and equivalent strong analytics experience for business strategies.
  • Industry Background: Prior experience in Enterprise SaaS company and prior private equity or investment banking experience preferred.
  • Technical Stack:
    • Advanced proficiency in Excel (complex modeling) is required.
    • Strong familiarity with Salesforce (reporting, dashboards, object relationships) is essential.
    • Experience with BI tools (e.g. Tableau, Power BI, Looker, Python) and Planning tools (e.g. Anaplan, Adaptive Insights) is a major plus.
  • Education: Bachelor’s degree in Finance, Math, Accounting, Economics, or a related quantitative field. MBA or master degree is a plus.
  • Soft Skills: Proven ability to translate complex financial data into clear, actionable narratives for non-financial stakeholders (Sales, Engineering, Product). Strong communication skills and excellent writing skills. Strong team collaborator, self driven and motivated.

Benefits

Why You’ll Love This Team:

  • Impact: You won't just report the news; you’ll help make it by influencing deal structures and operational strategy.
  • Visibility: Direct reporting line to the VP of Finance and regular exposure to GTM leadership.
  • Builder Mindset: Opportunity to design processes from scratch rather than just inheriting them.

Compensation:

  • Base Salary Rang: CAN 80K to 120K per year
  • Equity
  • Benefits

About the job

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Job type

Full Time

Experience level

Salary

Salary: 80k-120k USD

Location requirements

Hiring timezones

Canada +/- 0 hours

About DataVisor

Learn more about DataVisor and their company culture.

View company profile

DataVisor is a global leader in AI-powered fraud and risk management. Founded in 2013, the company provides an end-to-end Software-as-a-Service (SaaS) platform that leverages advanced artificial intelligence and machine learning capabilities to protect large consumer-facing enterprises and financial institutions from a wide array of digital threats. These threats include fraudulent transactions, spam, fake reviews, promotion abuse, fake application installs, identity theft, and money laundering. DataVisor's mission is to build and restore trust online by enabling organizations to proactively combat evolving fraud patterns in real-time.

The company's platform is distinguished by its patented unsupervised machine learning (UML) technology. This approach allows the system to identify new and unknown malicious actors and coordinated fraud rings without relying on historical labels or training data, which is crucial for staying ahead of sophisticated and rapidly changing attack vectors. DataVisor's solutions are designed to be data-agnostic, capable of ingesting and analyzing vast amounts of data from various sources to provide a holistic view of risk. The platform offers comprehensive capabilities including data orchestration, real-time feature computation, a flexible decision engine, and powerful case management tools. It is built to scale, handling high transaction volumes with low latency, making it suitable for some of the world's largest organizations. DataVisor serves a diverse range of industries, including financial services, banking, credit unions, fintech, e-commerce, social platforms, and digital payments, helping them to reduce fraud losses, improve operational efficiency, minimize customer friction, and ensure regulatory compliance.

Claim this profileDataVisor logoDA

DataVisor

Company size

51-200 employees

Founded in

2013

Chief executive officer

Yinglian Xie, Fang Yu

Employees live in

View company profile

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