Fico
Business Operations - Lead Analyst - NORAM
Work from Home, United States
Sponsorship not specified$84k-$132kDetected 30 days ago
Machine LearningData VisualizationProject ManagementSalesforceSalesPipeline ManagementForecastingExcelCadenceResearchLeadershipCollaborationPublic SpeakingAdaptabilityMicrosoft Office
About the role
- At FICO, we invest in our people and foster an inclusive culture where diverse perspectives are valued and careers are built.
- This role offers the opportunity to make a real impact, supporting a high-performing sales organization while growing alongside an experienced and collaborative team.
- Translate complex sales data into executive-level insights, preparing and owning leadership-facing presentations, reporting materials, and performance updates that go beyond surface-level analysis to communicate the reasoning behind the numbers.
Responsibilities
- Our Business Operations team sits at the center of sales strategy and execution, partnering directly with Sales leadership to drive growth and operational rigor across the region.
- Drive high-impact sales programs including pipeline generation campaigns, sales blitzes, and regional enablement initiatives, owning the operational infrastructure that keeps the team executing effectively.
- Support pricing, deal structure review, and approval processes in close partnership with the Sales, Finance, Legal, Product, and PS organizations.
- At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today - Big Data analytics.
Nice to have
- Serve as a project manager for cross-functional business operations initiatives, maintaining accountability, managing competing priorities, and ensuring workstreams are completed accurately and on time.
- Operate with adaptability and strategic awareness, supporting the business through evolving go-to-market motions, organizational change, and emerging priorities as the region scales.
- 3 to 5 years of experience in business operations or sales operations within a SaaS or enterprise software company, with demonstrated progression in scope and responsibility over time.
- Prior experience supporting sales teams in enterprise SaaS environments is required.
- Experience with US Financial Services accounts including banks, credit unions, or fintech companies is preferred.
- A strategic, analytical thinker who translates complex sales data into executive-ready insights, connecting performance trends to business outcomes and communicating findings clearly to senior leadership.
- Hands-on experience with MEDDPPICC or a comparable enterprise sales methodology, with the ability to apply and reinforce the framework as a day-to-day operational standard across a regional sales team.
- Experience leveraging AI tools or process automation to improve operational efficiency and scale team output.
Compensation
- $84,000 to $132,000 with this range reflecting differences in candidate knowledge, skills and experience.
Benefits
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
Company info
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
Visa & Work Authorization
- candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
This listing is sourced directly from Fico's careers page and normalized into a canonical job model.