[Hiring] Loyalty Analytics Consultant @KYROS

Role Description

We’re looking for a highly motivated analytics and consulting professional to help us manage and grow a portfolio of client relationships. This role is best suited for someone who thrives on being the connective tissue between technical analysis and client decision-making; someone who can own a project end to end, keep multiple workstreams moving at once, and turn complex modeling outputs into a clear, compelling story for a client. This is a place where you can make a real impact, as opposed to getting lost as one more cog in a big machine.

You’ll act as the primary point of contact for a set of clients, partnering with our analysts and data scientists to scope and execute quantitative analyses rooted in machine learning. This includes:

• Estimating and forecasting loyalty program liability
• Customer lifetime value (CLV)
• Other key drivers of program economics

Just as important as the technical fluency is the entrepreneurial mindset it takes to work here: clients bring us open-ended, sometimes unconventional business problems with no existing solution, and you’ll need to be comfortable building a solution in the ambiguity rather than waiting for one to be handed to you.

No two engagements look alike -- airline, hotel, retail, gaming, ticketing, and credit card loyalty programs all behave differently. If you come from a consulting or analytics background and are looking for a new and exciting way to apply your skills across several unique industries within the context of customer loyalty, this role is for you.

A Day in the Life

No two days look exactly the same, but here’s what the work typically looks like:

• You’re the first call for a set of assigned clients, fielding quick ad hoc questions one moment and steering a multi-week project the next.
• You work with analysts and data scientists to translate a client’s business problem into a structured quantitative analysis, then build and manage the project plan to keep it on track.
• You dig into the outputs of predictive models to sanity-check the results and understand what’s really driving them, not just what the model produced.
• You synthesize those results into a clear narrative: building the slides, the talk track, and the recommendation that helps a non-technical client make a real business decision.
• You present to clients directly, fielding questions in real time and adjusting the story based on what matters most to them.
• In between, there’s always ad hoc work, from a client question that needs a quick turnaround to a problem nobody at KYROS (or elsewhere) has solved before.
• You stay connected through a steady cadence of team standups, a structure that keeps our fully remote team organized and workloads manageable.
• There’s also real opportunity to shape how we work: to improve our client deliverables, contribute to internal tools like our KPI validation platform, and help define what a great client engagement looks like as we grow.

Qualifications

• At least 5 years of professional experience, ideally in a consulting or client-facing analytics 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.
• Demonstrated experience in a client-facing consulting or advisory capacity — leading engagements, managing scope, and being the person a client turns to with a problem, not just a deliverable.
• Comfortable working with large transactional datasets, aggregating, structuring, and interpreting data to find the story inside it.
• Demonstrated experience owning relationships end-to-end, setting expectations, managing scope, and delivering results on tight timelines.
• Ability to connect technical or financial analysis to a client’s business goals, understanding not just what a model says, but what it means and why it matters.
• Advanced Excel skills (pivot tables, complex formulas, large dataset manipulation) and strong PowerPoint skills; a sharp sense for what makes a good chart, slide, or client story, including 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.
• Ability to clearly distill complex, technical concepts into language non-technical audiences can understand and act on.
• Strong communicator, growth mindset, comfortable operating with ambiguity and little day-to-day guidance.
• Comfortable, and enthusiastic, about using AI tools as part of the daily workflow.

Bonus Points If You Have

• Actuarial background or exam progress (P&C track).
• Experience in loyalty, airline, hospitality, retail, or banking industries.
• Prior experience in a small or startup-like consulting environment.

Benefits

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