Loyalty Analytics Consultant

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee and expand a portfolio of client relationships.

• Act as the main point of contact for designated clients.

• Collaborate with analysts and data scientists to define and implement quantitative analyses based on machine learning.

• Assess and project loyalty program liabilities, customer lifetime value (CLV), and other factors influencing program economics.

• Manage projects from start to finish while handling multiple workstreams.

• Convert client business challenges into structured quantitative analyses.

• Develop and oversee project plans to ensure timely progress of engagements.

• Evaluate predictive model outputs to verify results and identify significant factors.

• Condense analytical findings into narratives, presentations, talking points, and actionable recommendations.

• Present insights directly to clients, respond to inquiries in real-time, and adjust recommendations as needed.

• Address ad hoc client inquiries and unique business challenges.

• Participate in team standups to synchronize the fully remote team.

• Enhance client deliverables and contribute to internal tools such as the KPI validation platform.

• Assist in establishing effective client engagement strategies as the company expands.

⛳️ Requirements

• A minimum of 5 years of professional experience, preferably in a consulting or client-facing analytics position.

• Bachelor’s degree in mathematics, statistics, economics, finance, or a related quantitative discipline; candidates with substantial analytical experience from different academic backgrounds are also encouraged to apply.

• Proven experience in a client-facing consulting or advisory role—leading projects, managing scope, and being the go-to person for clients seeking solutions, beyond just deliverables.

• Proficient in working with large transactional datasets, organizing, structuring, and interpreting data to uncover insights.

• Demonstrated ability to manage relationships comprehensively, set expectations, control scope, and produce results within tight deadlines.

• Capability to link technical or financial analysis to a client’s business objectives, grasping not only the implications of a model but also its relevance and significance.

• Advanced proficiency in Excel (including pivot tables, complex formulas, and handling large datasets) and strong skills in PowerPoint.

• Ability to direct and critique AI-generated visuals and presentations.

• Familiarity with project management tools and data visualization software (e.g., Power BI).

• Working knowledge of predictive modeling concepts, adequate to guide, question, and validate the work conducted by analysts and data scientists.

• Skill in simplifying complex, technical ideas into language that is accessible to non-technical audiences.

• Excellent communication abilities, a growth mindset, and comfort in navigating ambiguity with minimal day-to-day oversight.

• Eagerness and comfort in utilizing AI tools as part of daily operations.

🏝️ Benefits

• Retirement Plan (401k with employer match).

• Qualified Small Employer Health Reimbursement Arrangement (QSEHRA).

• Discretionary Paid Time Off (PTO).

• Fully remote work environment.