Director, Analytics – B2B Growth

🔥 14 hours ago

⛷️ Utah – Remote

⛷️ Utah – Remote

⏰ Full Time

🔴 Lead

📈 Growth Marketing

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Snap Finance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💸 Finance

💳 Fintech

🛒 Retail

Finance • Fintech • Retail

Snap Finance is a financial services company that offers flexible payment plans and lease-to-own options for consumers looking to purchase furniture, mattresses, wheels, tires, appliances, electronics, and jewelry. Snap Finance takes a unique approach to creditworthiness, making it easier for customers to access credit without impacting their FICO credit scores. The company partners with over 150,000 in-store and online retailers, providing an instant shopping power and convenient payment options. Snap Finance is designed to make shopping stress-free with quick application processes and versatile financial solutions.

📋 Description

• Own analytics for SMB Sales, Large Market Sales, Strategic Partnerships, Sales Ops, Rev Ops, and B2B Marketing • Lead forecasting, opportunity sizing, and partner performance analysis • Identify and quantify whitespace and share-of-wallet opportunities across existing and potential partners • Develop frameworks to track and improve sales performance metrics across partner lifecycle stages • Serve as a strategic analytics partner to RevOps, Sales Leadership, Partner Strategy, and B2B Marketing • Conduct partner-level forecasting using historical trends, cohort modeling, and macroeconomic indicators • Lead market research and prospect intelligence efforts for enterprise partnerships • Use web scraping and secondary data to assess market footprint, business scale, and vertical integration potential • Estimate current and potential volume and revenue impact for executive partnership pitches • Collaborate on data-driven RFP materials, opportunity sizing, and performance projections • Design lead scoring and qualification models to improve lead quality and reduce disqualification rates • Identify signals for successful onboarding and partner retention • Support territory planning, rep-level performance optimization, and resource allocation • Analyze marketing and sales funnel effectiveness to improve targeting, messaging, and ROI • Analyze B2B campaign effectiveness across acquisition, onboarding, and retention • Build predictive models for churn risk, engagement trends, and sales-funnel bottlenecks • Evaluate onboarding, training, and enablement initiatives on partner performance and revenue • Collaborate with Data Science teams on machine-learning models for lead prioritization, segmentation, location-based targeting, and behavior forecasting • Apply probabilistic matching, multi-touch attribution, and geographic optimization • Design and evaluate experiments to improve sales performance, onboarding, product adoption, and campaign strategy • Synthesize experimental results into actionable insights

🎯 Requirements

• 3+ years of direct people management experience, leading and developing high-performing teams • 10+ years of experience in analytics, strategy, or growth roles within B2B, fintech, or financial services environments • 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 intelligence and strategic research • Proficiency with modern analytics tools, including Snowflake, dbt, Tableau, Looker, and Amplitude • Excellent storytelling, communication, and executive influence skills • Bachelor’s degree in a quantitative field such as Statistics, Economics, or Engineering

🏖️ Benefits

• Generous paid time off • Competitive medical, dental & vision coverage • 401K with company match for US • Company-paid life insurance • Company-paid short-term and long-term disability • Access to mental health and wellness resources • Company-paid volunteer time to do good in your community • Legal coverage and other supplemental options • A value-based culture where growth opportunities are endless