Director, Analytics – B2B Growth

Snap Finance

. Own analytics for SMB Sales, Large Market Sales, Strategic Partnerships, Sales Ops, Rev Ops, and B2B Marketing .

Posted 10/13/2026full-timeRemote • Utah • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics and strategic partnership development, with a strong focus on revenue impact through data-driven insights and performance optimization. Proficient in lead qualification, funnel management, and predictive modeling to enhance sales effectiveness in B2B environments.

Highest-signal resume keywords

Analytics Strategy DevelopmentRevenue Impact GenerationSQL ExpertiseLead Qualification and Funnel ManagementTeam Leadership and Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisForecastingMarket ResearchPredictive ModelingWeb ScrapingCohort ModelingPerformance Metrics TrackingOpportunity SizingStatistical AnalysisMulti-Touch Attribution

Soft Skills

StorytellingCommunicationExecutive Influence

Tools & Technologies

SnowflakeDbtTableauLookerAmplitudePythonR

Industry Keywords

B2B MarketingSales OperationsRevenue OperationsFintechFinancial Services

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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