Lead Quantitative Analyst – Customer Lifecycle & Retention in Abbeyville, Colorado at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Quantitative Analyst – Customer Lifecycle & Retention based in the United States.

This is a high-impact, hands-on analytics role focused on improving customer conversion, follow-up, retention, and recapture outcomes.
You will tackle complex and often ambiguous business questions, using quantitative analysis to uncover opportunities and translate findings into actionable recommendations.
The role combines advanced SQL, statistical measurement, experimentation, data visualization, and strong business judgment.
You will partner directly with leaders across Sales, Operations, Marketing, and Servicing to influence decisions and improve customer and financial outcomes.
Your work will be highly visible, with analytical initiatives moving quickly from concept through implementation and measurable business impact.
As a senior individual contributor, you will have significant ownership over challenging problems while also providing analytical guidance to other team members.
This opportunity is ideal for an experienced quantitative analyst who thrives in fast-paced environments and enjoys turning data into high-leverage business results.

• Identify, size, and prioritize analytical opportunities that can improve customer conversion, retention, follow-up, recapture, revenue, and broader business outcomes.
• Develop meaningful KPIs, reporting frameworks, and measurement strategies to evaluate customer lifecycle performance and business initiatives.
• Design and support experimentation and statistical measurement approaches to assess the impact of changes, campaigns, and operational strategies.
• Partner directly with senior stakeholders across Sales, Operations, Marketing, and Servicing to understand business challenges and translate them into analytical solutions.
• Build, maintain, and optimize complex T-SQL analyses and data solutions to answer strategic and operational questions.
• Analyze large and complex datasets to identify trends, drivers, opportunities, and potential risks.
• Translate quantitative findings into clear, actionable recommendations that support business and revenue decisions.
• Develop effective data visualizations and reporting that make complex analytical insights accessible to business and executive audiences.
• Independently take ownership of ambiguous or high-priority analytical problems and move projects rapidly from concept to actionable outcomes.
• Provide analytical leadership, technical guidance, and mentorship to other analysts.
• Collaborate across functions to ensure analytical recommendations are effectively implemented and measured.

• 7+ years of relevant analytics, quantitative analysis, business intelligence, or similar experience.
• Advanced proficiency in T-SQL and experience working with complex data sets and analytical data solutions.
• Strong experience with data visualization and the ability to communicate quantitative findings through clear, compelling reporting.
• Demonstrated expertise in experimentation, statistical analysis, and measurement methodologies.
• Strong problem-solving abilities, with the capacity to structure ambiguous problems and develop practical, data-driven solutions.
• Excellent business judgment and ability to connect analytical findings with customer, operational, and financial outcomes.
• Strong executive communication skills, with the ability to present complex analytical concepts clearly to senior stakeholders.
• Ability to work independently, take ownership of high-impact initiatives, and operate with urgency and a bias toward action.
• Strong collaboration skills and experience partnering with stakeholders across multiple business functions.
• Ability to provide technical and analytical guidance to other analysts while remaining hands-on with individual contributor responsibilities.
• Reliable high-speed internet suitable for remote work, with a cable or fiber connection and Ethernet capability. Minimum connection requirements vary based on household usage, with higher speeds required for shared or heavy-use environments.

• Annual compensation generally ranging from $140,000 to $165,000.
• 401(k) retirement plan.
• Health insurance.
• Dental insurance.
• Vision insurance.
• Life insurance.
• Disability insurance.
• Paid time off.
• 12 paid holidays per year.
• Paid training.
• Employee discounts.
• Referral program and referral bonuses.
• Fully remote work opportunity within the United States.