Note: The job is a remote job and is open to candidates in USA. KYROS is a boutique consulting firm focused on helping loyalty programs measure and optimize their economic value through actuarial theory, machine learning, and big data technology. The Loyalty Analytics Consultant will manage client relationships, lead quantitative analytics projects, interpret predictive model outputs, and translate complex analyses into recommendations for non-technical clients.
Responsibilities
- 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
- 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
Skills
- 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
- 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
Company Overview