Director, Analytics - B2B Growth

snapfinance; West Valley City (UT); On-site; USD 120,000 - 180,000; Full time

Job summary

Snap Finance is seeking a Senior Analytics Leader to own analytics across SMB, Large Market, Partnerships, Sales Ops, Rev Ops and B2B Marketing. You will forecast, size opportunities, and analyze partner performance to support enterprise deals and growth initiatives.

You will partner with RevOps, Sales, and Marketing to provide the analytical foundation for revenue-driving programs, lead qualification, and onboarding efficiency, helping our ALICE customer base and internal teams move faster.

Qualifications

• 10+ years in analytics, strategy or growth roles within B2B/fintech or financial services.
• Proven ability to generate revenue impact through analytics in sales, marketing and partner growth.
• Experience with enterprise partnerships, forecasting and RFP analytics.
• Strong SQL and familiarity with Python or R; collaborate with Data Eng/DS teams.

Responsibilities

• Strategic Sales Analytics for Partner Growth: quantify opportunities across partners and track key metrics across lifecycle stages.
• Large Market & Enterprise Team Support: conduct partner-level forecasting, market research, and revenue impact analyses.
• SMB Sales & Growth Optimization: design lead scoring models and optimize onboarding and retention.
• Campaign, Funnel & Lifecycle Analytics: analyze marketing funnel, onboarding and retention as well as ROI.
• Predictive Modeling & Advanced Analytics: build models for churn, engagement and funnel bottlenecks.

Skills

SQL

Python or R

Forecasting

Partner growth analytics

Lead scoring

Tools

Web scraping

Job description

Company Overview

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation. If you're looking to make an impact and grow with a team that values you, come join us!

Job Description

Join the Consumer Growth Analytics team at Snap, where we leverage data to accelerate revenue and partner growth across the business. We're seeking a senior leader to own analytics for a broad range of revenue-driving teams-including SMB Sales, Large Market Sales, Strategic Partnerships, Sales Ops, Rev Ops, and B2B Marketing. In this high-impact role, you'll lead forecasting, opportunity sizing, and partner performance analysis; support enterprise deal development with market intelligence and RFP analytics; and improve lead qualification and onboarding efficiency to better serve our core ALICE customer (Asset Limited, Income Constrained, Employed). This is a strategic, cross-functional role on a collaborative, high-ownership team where innovative thinking, partnership, and measurable impact are the standard.

How you'll make an impact

Strategic Sales Analytics for Partner Growth

• Identify and quantify opportunities across existing and potential partners, including whitespace analysis and share-of-wallet opportunity sizing.
• Develop and own frameworks for tracking and improving key sales performance metrics across partner lifecycle stages-from onboarding through growth and retention.
• Serve as a strategic partner to RevOps, Sales Leadership, Partner Strategy, and B2B Marketing, providing the analytical foundation for revenue-driving initiatives.

Large Market & Enterprise Team Support

• Conduct partner-level forecasting to project performance based on historical trends, cohort modeling, and macroeconomic indicators.
• Lead market research and prospect intelligence efforts for potential enterprise partnerships, including: Web scraping and secondary data gathering to assess market footprint, business scale, and potential vertical integration.
• Estimating current and potential volume and revenue impact for use in executive-level partnership pitches.

SMB Sales & Growth Optimization

• Design lead scoring and qualification models to improve top-of-funnel lead quality and reduce disqualification rates.
• Partner with SMB Sales and Customer Success teams to identify behavioral and operational signals for successful onboarding and partner retention.
• Support territory planning, rep-level performance optimization, and resource allocation across inside sales, field teams, and customer success groups.
• Analyze marketing and sales funnel effectiveness to drive improvements in campaign targeting, messaging, and ROI.

Campaign, Funnel & Lifecycle Analytics

• Analyze B2B marketing campaign effectiveness across acquisition, onboarding, and retention, with a focus on optimizing lifetime value.
• Build predictive models for churn risk, engagement trends, and bottlenecks in the sales funnel.
• Evaluate the impact of onboarding, training, and enablement initiatives on partner performance and revenue contribution.

Predictive Modeling & Advanced Analytics

• Collaborate with Data Science teams to build and deploy machine learning models for lead prioritization, partner segmentation, location-based targeting, and behavior forecasting.
• Apply advanced techniques such as probabilistic matching, multi-touch attribution, and geographic optimization to enhance partner insights.

Experimentation & Strategic Testing

• Design and evaluate experiments aimed at improving sales performance, partner onboarding, product adoption, and campaign strategy.
• Synthesize experimental results into actionable insights that improve conversion rates and increase sales team effectiveness.

What you'll need to succeed

• 10+ years of experience in analytics, strategy, or growth roles within B2B, fintech, or financial services environments, with demonstrated success across both enterprise and SMB sales models.
• Proven ability to generate revenue impact through analytics in sales, marketing, and partner growth contexts.
• Deep experience supporting enterprise partnership development-including forecasting, RFP response analytics, and market research.
• Strong understanding of lead qualification, funnel conversion, and lifecycle management in SMB contexts.
• Expertise in SQL and familiarity with Python or R for analytics and predictive modeling; ability to partner effectively with Data Engineering and Data Science teams.
• Experience conducting web scraping and third-party data acquisition for market