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Mulligan Funding

Short-term working capital loans for SMBs

Staff Sales Analyst

Data AnalysisUpdated on Nov 10
Full-timeSan Diego, CA, USA$131.7k - $170.9k /yrHybrid

About the Job

Requirements

  • An undergraduate degree (B.A. or B.S.) in Business Analytics, Finance, Economics, Statistics, Information Systems, or a related quantitative field.
  • Five to seven or more years of experience supporting Sales, Marketing, or Revenue Operations in an analytical capacity; experience in Fintech, Financial Services, or a high-growth B2B environment is preferred.
  • Advanced Excel proficiency, including complex formulas, pivot tables, scenario modeling, and dynamic reporting constructs.
  • Exposure to Python for data manipulation using Pandas and NumPy, and workflow automation.
  • Experience querying relational databases or building dashboards with Tableau, Power BI, or Looker.
  • Exceptional written and verbal communication, with the ability to challenge assumptions, advocate for data-driven decisions, and articulate complex insights to executive stakeholders.
  • A curiosity-driven, AI-first approach to problem-solving, process efficiency, and continuous learning.

Responsibilities

  • Produce actionable insights to optimize conversion, velocity, and revenue across acquisition and sales channels.
  • Design, build, and maintain core metrics and key performance indicators that define end-to-end sales funnel health, including Lead-to-Application, Approval-to-Acceptance, Funded Rates, and service-level agreement timelines.
  • Conduct diagnostic deep-dives to identify friction points, application drop-offs, and operational bottlenecks.
  • Work with Sales and Operations leadership to understand frontline workflows, customer journeys, and deal dynamics.
  • Partner with Sales and Operations leaders to reconcile stakeholder perspectives, build consensus, and deliver deal-prioritization and pipeline-optimization recommendations.
  • Manage day-to-day and deal-by-deal operational friction, translating feedback and business requirements into structured analytical frameworks and executive dashboards.
  • Establish measurement frameworks to evaluate team performance, incentive structures, channel efficiency, and capacity planning.
  • Bridge business stakeholders and technical teams to align business priorities with technical execution.
  • Collaborate with Data Engineers and Data Scientists to productionalize metrics and support robust, single-source-of-truth data infrastructure.
  • Help scope, validate, and test scalable machine-learning models and analytical frameworks to improve funding conversion rates and targeting strategies.
  • Lead the adoption, testing, and scaling of AI technologies—including large language model analytics assistants, automated insight generation, prompt-engineering tools, and conversational analytics platforms—to transform sales operations.
  • Automate routine reporting and data-extraction workflows using modern tools to reduce manual effort across business units.
  • Evaluate emerging technologies and embed advanced analytical capabilities into day-to-day operations to drive strategic efficiency.

Desired Qualifications

  • Experience in Fintech, Financial Services, or a high-growth B2B environment.

About the Company

Mulligan Funding

Short-term working capital loans for SMBs

Mulligan Funding provides working capital loans to small and medium-sized businesses in the United States, operating in the alternative lending market. It offers short-term, flexible-repayment loans to help business owners manage cash flow, expand operations, or cover unexpected expenses. The company uses a mix of technology and human underwriting to assess creditworthiness, enabling quick approvals and a streamlined application process. Unlike traditional banks, it focuses on SMBs that may not qualify for bank loans and prioritizes personalized customer service. Mulligan Funding aims to build long-term relationships with clients by offering timely financing and guidance that supports sustained growth.

Company size
51-200
Company stage
Series A
Total funding
$15M
Headquarters
San Diego, CA
Founded
2008

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