Remote - Marketing Intelligence Analyst

1 month, 1 week ago
Full-time
Mid Level
Data Science and Analytics
World Business Lenders

World Business Lenders

World Business Lenders provides short-term loans to small businesses, focusing on their ability to repay rather than the owner's credit score, thereby facilitating access to working capital for equipment purchases and expansion efforts.

Real Estate
251-1K
Founded 2011
$25M raised

Description

  • Develop, validate, and maintain predictive models for lead scoring, conversion propensity, and funnel optimization.
  • Build tiering models to prioritize leads by conversion probability.
  • Create forecasting frameworks for lead volume, conversion rates, and pipeline or revenue projections.
  • Develop channel performance models to optimize budget allocation across paid search, email, ISO partners, and other channels.
  • Monitor model performance and iterate to improve accuracy and business impact.
  • Build market evaluation models to prioritize geographies, industries, and segments based on expected performance and ROI.
  • Analyze geographic, industry, and segment-level trends to identify growth opportunities and support resource allocation decisions.
  • Design and analyze experiments, including A/B tests and cohort analyses, to measure incremental impact.
  • Apply statistical and machine learning techniques to solve marketing and broader business problems.
  • Collaborate with Data Engineering, BI, and analytics teams to prepare data, integrate model outputs into reporting, and support stakeholders.
  • Contribute to internal data science and proprietary analytics initiatives, including deep-dive analyses for strategic and operational decisions.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or a related field.
  • 3 to 7 years of experience in data science, applied modeling, or advanced analytics.
  • Strong proficiency in Python and SQL.
  • Proven experience building and validating predictive models in a business environment.
  • Experience with statistical methods, machine learning techniques, and forecasting approaches.
  • Experience with customer acquisition cost modeling and marketing ROI analysis.
  • Ability to translate business problems into analytical solutions and communicate complex concepts to non-technical stakeholders.
  • Experience working with marketing, customer acquisition, or lead generation data is preferred.
  • Familiarity with segmentation, lead scoring, or customer lifecycle modeling is preferred.
  • Experience with experimentation and causal inference methods is preferred.
  • Exposure to market-level modeling or customer targeting strategies is preferred.
  • Experience contributing to production-level or internal data science projects is preferred.
  • Strong communication skills in English, both spoken and written.
  • Ability to work effectively across engineering, analytics, and business teams.

Benefits

  • USD base salary.
  • Paid Time Off (PTO) after 6 months of service.
  • Full-time opportunity.
  • Completely remote work environment.

Interested in this position?

Apply directly on the company website

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