Revenue Analytics Architect — AI-Driven Growth Insights

Extend; United States; On-site; USD 125,000 - 135,000; Full time

Benefits offered by this job

Medical, dental & vision benefits

Stock options

Generous PTO

401(k) with Morgan Stanley

Job summary

Extend is seeking a Revenue Analytics professional to scale and recover revenue through data-driven decisions. You will synthesize insights from Sales, Growth, Product, Engineering, and Risk to identify growth opportunities that impact the bottom line.

You will lead cross-functional initiatives, improve quantitative methods, and embed AI into analytics workflows, shaping how the company monetizes its revenue waterfall while collaborating with senior leaders.

Qualifications

• 5+ years in data science or consulting delivering data-driven impact.
• Strong written and verbal communication for diverse audiences.
• Expert knowledge of SQL, Python, A/B testing, GitHub.
• Interest in AI tools (Claude, Gemini) to improve efficiency.
• Curious, collaborative, business-focused mindset.

Responsibilities

• Lead cross-functional teams to drive revenue initiatives.
• Identify strategies to maximize revenue and client acquisition.
• Advance quantitative analysis techniques and present insights to leadership.
• Own data pipelines and tracking methodologies.
• Set high analytical standards for the team.
• Embed AI into Revenue Analytics workflows.

Skills

SQL

Python

A/B testing

GitHub

Education

Advanced degree in data science / analytics / economics / statistics

Job description

Extend is seeking a Revenue Analytics professional to scale and recover revenue through data-driven decisions. You will synthesize insights from Sales, Growth, Product, Engineering, and Risk to identify growth opportunities that impact the bottom line.

You will lead cross-functional initiatives, improve quantitative methods, and embed AI into analytics workflows, shaping how the company monetizes its revenue waterfall while collaborating with senior leaders.