Remote Vice President, Analytics

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Earnin

πŸ“Remote - United States

Job highlights

Summary

The job is for a Vice President of Analytics at EarnIn, a fintech company that provides financial flexibility to its users. The role involves leading the analytics function, developing and implementing the overall analytics strategy, mentoring a team of data scientists, collaborating with executive leadership, overseeing product and marketing analytics, managing risk analytics, creating business insights reports, staying abreast of emerging analytics tools, and fostering a data-driven culture within the organization.

Responsibilities

  • Develop and implement the overall analytics strategy in alignment with the company’s business objectives
  • Lead and mentor a high-performing team of data scientists, analysts, and business intelligence professionals
  • Collaborate with executive leadership to identify and prioritize analytics initiatives to drive business growth
  • Oversee the development of product analytics to understand user behavior, product performance, and opportunities for improvement
  • Work closely with product management and development teams to provide data-driven insights that inform product roadmap and feature enhancements
  • Lead the marketing analytics function to strategize, measure, and optimize the effectiveness of full-funnel marketing campaigns to drive growth
  • Utilize advanced analytics techniques to segment customers, predict behaviors, and enhance targeting strategies
  • Develop and track key marketing metrics to inform decision-making and demonstrate ROI
  • Manage the risk analytics team to identify, assess, and manage risks across various business functions
  • Develop predictive models and risk assessment tools to support underwriting, fraud detection, and credit risk management
  • Ensure compliance with regulatory requirements and internal policies related to risk management
  • Drive the creation of comprehensive business insights reports and dashboards to inform strategic planning and operational efficiency
  • Partner with cross-functional teams to gather requirements and deliver actionable insights
  • Foster a data-driven culture within the organization by promoting the best data analysis and interpretation practices
  • Stay abreast of emerging analytics tools, technologies, and methodologies to ensure the company remains at the forefront of the industry
  • Lead the implementation of advanced analytics platforms and infrastructure to support scalable data solutions

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