Remote Director, Data-Driven Growth & Acquisition

BillGO, Inc.; Fort Collins, Northern (CO, KY); Hybrid; USD 133,000 - 197,000; Full time

Job summary

BillGO is seeking a Director, Business Analysis to lead a high-impact analytics team responsible for acquisition and customer experience insights. You will partner with marketing, product, and data teams to drive data-informed strategy across channels, optimizing CAC, LTV, and payback while guiding experiments and measurement across the lifecycle.

This role emphasizes cross-functional leadership, mentorship of analysts, and scalable analytics frameworks that translate complex data into

Qualifications

• Bachelor’s degree in Business or quantitative field (Economics, Finance, Math, Statistics, Engineering, etc).
• 5+ years of experience in quantitative analytics.
• 2+ years of people management experience.
• Problem solving and data-driven decision making.
• Experience delivering growth-focused business strategies.

Responsibilities

• Drive end-to-end acquisition funnel analysis from impression to activation.
• Develop segmentation and channel mix insights to optimize CAC and LTV.
• Build dashboards and reporting frameworks for acquisition and customer management.
• Lead test design and analysis with marketing and product teams.
• Coach analysts and scale the analytics function.

Skills

Data analysis

People management

Cross-functional collaboration

AI tools (Claude/ChatGPT)

Communication

Education

Bachelor's degree in Business or quantitative field

Tools

Data analysis tools

Job description

BillGO is seeking a Director, Business Analysis to lead a high-impact analytics team responsible for acquisition and customer experience insights. You will partner with marketing, product, and data teams to drive data-informed strategy across channels, optimizing CAC, LTV, and payback while guiding experiments and measurement across the lifecycle.

This role emphasizes cross-functional leadership, mentorship of analysts, and scalable analytics frameworks that translate complex data into