CREDIT GENIE

Staff Marketing Data Analyst

Plymouth Meeting, PA, US$200,000-$230,000Posted 11 days ago

Job Description

Company

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Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability.

Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.

Overview

Join our innovative Analytics team and help enable a world-class Marketing organization. As a Staff Marketing Data Analyst, you will serve as the dedicated analytics partner to Marketing, using data, measurement, and experimentation to improve customer acquisition, marketing efficiency, and business growth. You will independently own complex analyses and measurement frameworks, translate data into actionable recommendations, and help Marketing leaders understand what is working, why it is working, and where to invest next. The successful candidate will combine deep marketing analytics expertise, analytical rigor, and strong business judgment with the ability to influence senior stakeholders and drive decisions without direct people-management responsibility.

What You'll Do

  • Partner cross-functionally with Marketing, Product, and other teams to improve marketing data quality, align data requirements, and ensure measurement approaches are consistent and trusted.
  • Independently lead actionable insights and deep-dive analyses that optimize customer acquisition, channel performance, campaign effectiveness, and marketing investment.
  • Own and advance multi-touch attribution (MTA),

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