Lead Quantitative Analyst – Customer Lifecycle & Retention Strategy, Data Analytics & Experimentation

About brighthush

At brighthush, we’re redefining the future of customer experience through data‑driven insight and relentless experimentation. Our mission is to help brands unlock the full value of every customer interaction, turning raw data into actionable strategies that drive growth, loyalty, and profitability. With a global footprint and a culture that thrives on curiosity, collaboration, and continuous learning, brighthush is the place where analytical minds meet business visionaries to create measurable impact.

Key Responsibilities

As the Lead Quantitative Analyst for Customer Lifecycle & Retention, you will be the analytical engine behind our customer‑centric initiatives. Your role will encompass:

• Opportunity Identification & Impact Quantification – Scan cross‑functional data streams to surface high‑impact opportunities that enhance customer satisfaction and business performance.
• Advanced KPI Development & Reporting – Design, implement, and refine a suite of metrics that capture the health of the customer journey, from acquisition to advocacy.
• Experimental Design & Measurement Strategy – Lead A/B and multivariate testing frameworks, ensuring rigorous statistical validity and actionable insights.
• Data Engineering & Analysis – Build and optimize complex T‑SQL queries, data pipelines, and analytical models that support real‑time decision making.
• Stakeholder Partnership – Collaborate closely with Sales, Operations, Marketing, and Servicing leaders to translate data insights into strategic initiatives.
• Team Leadership & Mentorship – Provide analytical guidance, coaching, and mentorship to junior analysts, fostering a culture of excellence and curiosity.
• Thought Leadership – Stay ahead of industry trends, share best practices, and champion data‑driven culture across the organization.

Essential Qualifications

• Minimum 7 years of progressive analytics experience in a high‑growth, data‑centric environment.
• Advanced proficiency in T‑SQL, with a proven track record of building scalable, high‑performance queries.
• Expertise in data visualization tools (e.g., Power BI, Tableau, Looker) and the ability to translate complex data into clear, compelling narratives.
• Deep experience in experimental design, hypothesis testing, and statistical measurement.
• Strong problem‑solving skills, with the ability to dissect complex business challenges and propose data‑driven solutions.
• Excellent business judgment – the capacity to balance analytical rigor with practical business impact.
• Executive‑level communication skills – comfortable presenting findings to C‑suite leaders and translating technical insights into strategic action.
• Remote work readiness: reliable high‑speed internet (minimum 70/30 Mbps basic, 200‑300/35‑70 Mbps shared, or 500‑1,000/100+ Mbps heavy use) with Ethernet capability.

Preferred Qualifications

• Experience in the customer lifecycle, retention, or loyalty domain.
• Proficiency with Python or R for statistical modeling and machine learning.
• Knowledge of cloud data platforms (Azure, AWS, GCP) and modern data warehousing solutions.
• Prior leadership of cross‑functional analytics teams.
• Published research or conference presentations in data science or analytics.

Skills & Competencies

• Analytical Thinking – Ability to synthesize large datasets into actionable insights.
• Technical Mastery – Advanced SQL, data modeling, and visualization expertise.
• Statistical Rigor – Design and interpret experiments with confidence.
• Communication Excellence – Translate complex findings into clear, business‑oriented stories.
• Collaboration & Influence – Work effectively with diverse teams and influence decision makers.
• Adaptability – Thrive in a fast‑paced, evolving environment.
• Continuous Learning – Pursue professional development and stay current with industry trends.

Career Growth & Learning Opportunities

At brighthush, your career trajectory is as dynamic as the data you analyze. We offer:

• Structured mentorship programs with senior leaders.
• Access to cutting‑edge analytics tools and training resources.
• Opportunities to lead high‑impact projects that shape company strategy.
• Clear promotion pathways from Analyst to Senior Analyst, Lead Analyst, and Director of Analytics.
• Cross‑functional rotations to broaden your business acumen.

Work Environment & Culture

Our remote‑first culture empowers you to work from anywhere while staying connected through:

• Weekly virtual town halls and cross‑team syncs.
• Collaborative platforms (Slack, Teams, Miro) that foster real‑time collaboration.
• Inclusive hiring practices that celebrate diverse perspectives.
• Regular hackathons and data challenges to spark innovation.
• A culture that values work‑life balance, mental health, and personal growth.

Compensation & Benefits

We believe in rewarding talent fairly and comprehensively. Your compensation package will include:

• Competitive base salary aligned with market benchmarks.
• Performance‑based bonuses tied to individual and company metrics.
• Equity or stock‑option plans to share in brighthush’s success.
• Robust benefits: 401(k) with company match, health, dental, vision, and life insurance.
• Disability coverage and comprehensive wellness programs.
• Generous paid time off, 12 paid holidays, and flexible vacation policies.
• Paid training and professional development stipend.
• Employee referral program with attractive bonuses.
• Employee discounts on brighthush products and partner services.

How to Apply

Ready to lead the next wave of customer‑centric analytics at brighthush? Submit your application through our career portal or click the link below to explore this exciting opportunity.