FP&A Consultant, Loyalty Programs

Overview

The organization is seeking a highly motivated finance and analytics professional to support and grow a portfolio of client relationships. This role is best suited for someone with deep experience working close to loyalty, rewards, or points programs—such as in FP&A, financial analysis, or a related finance/strategy role within an airline, hotel, retailer, bank, or similar loyalty-driven business.

This is a fully remote consulting role focused on measuring and optimizing the economic value created by loyalty programs through a combination of actuarial theory, machine learning, and big data technology. The work emphasizes ownership end to end, comfort operating with incomplete information, and the ability to build solutions in ambiguity.

Responsibilities

• Serve as the primary point of contact for a set of assigned clients, handling ad hoc questions and leading multi-week projects.
• Partner with analysts and data scientists to translate open-ended business problems into structured quantitative analyses.
• Scope and manage project plans to keep deliverables on track.
• Estimate and forecast loyalty program liability, customer lifetime value (CLV), and other key drivers of program economics.
• Review and sanity-check predictive model outputs to understand what drives results.
• Synthesize analysis into clear client-facing narratives, including slide and talk track development and recommendations for non-technical stakeholders.
• Present directly to clients, field questions in real time, and adapt the story based on what matters most to each audience.
• Contribute to improving client deliverables and help define what a great client engagement looks like as the team grows.
• Stay aligned with a steady cadence of remote team standups to manage workload and coordination.

Requirements

• At least 5 years of professional experience, ideally in FP&A, financial analysis, or a related finance/strategy role.
• Bachelor’s degree in math, statistics, economics, finance, or another quantitative field (candidates with strong analytical experience and a different academic background are also welcome to apply).
• Industry background: Direct experience with a loyalty, rewards, or points program—ideally at an airline, hotel, retailer, bank, or similar company—with a strong understanding of how the program works and what drives its economics.
• Analytical rigor with large transactional datasets, including aggregating, structuring, and interpreting data to uncover insights.
• Project management experience owning relationships end to end, setting expectations, managing scope, and delivering results on tight timelines.
• Business sense translating technical or financial analysis into client business goals and implications.
• Advanced Excel skills, including pivot tables, complex formulas, and large dataset manipulation.
• Strong PowerPoint skills, including an eye for effective charts/slides and the ability to direct and critique AI-generated visuals and decks.
• Experience with project management tools and data visualization software (e.g., Power BI).
• Working understanding of predictive modeling concepts sufficient to guide, question, and validate work performed by analysts and data scientists.
• Clear communication skills to distill complex technical concepts for non-technical audiences.
• Comfort operating with ambiguity and limited day-to-day guidance.
• AI fluency: Comfortable using AI tools as part of the daily workflow and enthusiastic about doing so.

Preferred Qualifications

• Prior experience in a client-facing consulting or advisory role.
• Actuarial background or exam progress.
• Prior experience in a small or startup-like consulting environment.

Compensation & Benefits

• Retirement plan (401k with employer match)
• Qualified Small Employer Health Reimbursement Arrangement (QSEHRA)
• Discretionary PTO
• Fully remote

Location

Fully remote