Vice President, Data Insights

1 week ago

Palo Alto, California, United States Earnin Compliance Team ActiveHours Inc. Full time
About Earnin Compliance Team ActiveHours Inc.

We are a pioneering company in the earned wage access industry, dedicated to delivering real-time financial flexibility to individuals with unique financial needs. Our mission is to provide innovative products that empower our community members to manage their finances effectively.

As a leader in the Fintech industry, we have achieved significant milestones, including over 13 million app downloads and access to over $15 billion in earnings. Our experienced leadership team and world-class funding partners have enabled us to maintain a strong growth trajectory.

Job Summary

We are seeking a highly skilled Vice President of Analytics to lead our analytics function, providing strategic direction and oversight for product, marketing, and risk analytics. This senior leadership role is critical in driving data-driven decision-making across the organization, ensuring the company leverages data to optimize performance, innovate, and achieve business goals.

Key Responsibilities
  1. Strategic Leadership
  • 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.
  • Ability to predict and analyze impact across various business functions, including product, marketing, engineering, compliance, risk, etc.
Product Analytics
  • 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.
Marketing Analytics
  • 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.
Risk Analytics
  • 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.
Business Insights
  • 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.
Innovation and Technology
  • 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.
Requirements
  • Bachelor's degree in Data Science, Statistics, Economics, Business Administration, or related field or equivalent experience
  • 10+ years of experience in analytics
  • 5+ years in a senior leadership role
  • A deep understanding of statistical analysis (e.g., hypothesis testing, experimentation, regressions)
  • Proven track record of developing and executing successful analytics strategies.
  • Strong expertise in product, marketing, and risk analytics
  • Excellent leadership, communication, and interpersonal skills.
  • Ability to translate complex data insights into actionable business recommendations.
  • Strong problem-solving skills and a strategic mindset.
Preferred Qualifications
  • A strong quantitative background acquired through a degree in a related field (e.g., Statistics, Economics, Applied Mathematics) or through professional experience
  • Experience working in the Fintech or Financial Services industry
  • Hands-on proficiency in advanced analytics tools and programming languages such as SQL, Python, R, and data visualization software
  • Hands-on knowledge of machine learning model building and performance analysis

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