Loyalty Analytics Consultant

Kyros; United States; Remote; USD 150,000 - 200,000; Full time

Benefits offered by this job

401k with employer match

QSEHRA

Discretionary PTO

Fully remote

Job summary

KYROS, a fully remote actuarial consulting firm focused on loyalty programs, seeks an analytics and consulting professional to manage client relationships and drive end-to-end engagements. You will translate complex modeling into clear business recommendations and lead projects with analysts and data scientists.

You’ll work across industries within loyalty programs, using advanced Excel, PowerPoint, and AI tools to tell a compelling story and deliver impact for clients.

Qualifications

• At least 5 years of professional experience in consulting or client-facing analytics.
• Bachelor's degree in a quantitative field; strong analytical background welcomed.
• Experience leading client engagements, managing scope, and delivering results.
• Able to work with large datasets to extract actionable insights.
• Proven ability to own client relationships end-to-end and manage timelines.
• Ability to connect technical/financial analysis to client business goals.
• Comfortable using AI tools as part of daily workflow.
• Excellent communication, presentation, and storytelling skills.

Responsibilities

• Be the primary contact for a set of clients and manage relationships end-to-end.
• Guide analyses with analysts and data scientists to generate client insights.
• Translate modeling outputs into clear, compelling client narratives.
• Lead multi-week projects with end-to-end ownership and delivery.
• Present to clients and adapt the story to stakeholder needs in real time.
• Contribute to internal tools and improve client deliverables.
• Maintain steady cadence of team standups for a fully remote team.

Skills

Years of Experience

Education

Consulting Experience

Analytical Rigor

Client Management

Business Sense

Advanced Excel

PowerPoint

AI Fluency

Communication

Modeling

Ambiguity Tolerance

Education

Bachelor's degree in math, statistics, economics, finance, or quantitative field

Tools

Power BI

Job description

About Us

KYROS is the only actuarial firm solely focused on loyalty programs.We’rea small, boutique, fully remote consulting firm built by actuaries and technologists who wanted to rethink how actuarial work is done.

We help your favorite frequent flyer program, hotel,bankor retail loyalty program measure andoptimizethe economic value that the program creates through a modern, highly technical combination of actuarial theory, machine learning, and big data technology.

As a lean and growing team, weoperatemuch more like a startup than a large consulting firm. We move quickly, expecta high levelof execution, and rely on team members to take ownership of theirworkend to end. This is an environment for people who work efficiently, make sound decisions with incomplete information, and enjoy delivering high-quality work without layers of process or bureaucracy.

We alsoleverageAI in service of human potential -- not to replace our people, but to amplify whatthey’realready great at.It’sfreed our team up to spend more time on the work only a personcando:solving hard client problems, pushing intonew territory, and building real relationships. Ifyou’recomfortable working alongside AI as part of the job,you’llfit right in here.

Likewise, if you thrive on variety, enjoy coming to work not always knowing exactly how your day will unfold, and get energized by balancing multiple priorities in a fast-movingenvironment,this role is for you.

The Role

Salary range: $150,000-$200,000

We’relooking 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’llact 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 loyaltyprogramliability, customer lifetime value (CLV), and other key drivers of program economics. You don’t need to write the code yourself, and you don’t need to come from an actuarial background — but you do need to understand the analysis well enough to guide it, question it, and defend it in front of a client.

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.

Even within our specialty of loyalty programs, 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 lookexactly the same, buthere’swhat the work typically looks like:

• You’rethe 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 understandwhat’sreally 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 makea real businessdecision

• 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 alsorealopportunity 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.

Basic qualifications

• Years of Experience:At least 5 years of professional experience, ideally in a consulting or client-facing analytics role
• Education: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
• Consulting Experience:Demonstratedexperience 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
• Analytical Rigor:Comfortable working with large transactional datasets, aggregating, structuring, and interpreting data to find the story inside it
• Client Management:Demonstratedexperience owning relationships end-to-end, setting expectations, managing scope, and delivering results on tight timelines
• Business Sense: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
• Skills: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)
• Modeling:Working understanding of predictive modeling concepts, sufficient to guide, question, andvalidatework performed by analysts and data scientists
• Communication:Ability to clearly distill complex, technical concepts into language non-technical audiences can understand and act on
• Other:Strong communicator, growth mindset, comfortable operating with ambiguity and little day-to-day guidance
• AI Fluency: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

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