Data Analyst

2 days ago


London, Greater London, United Kingdom Geospatial And Cloud Analytics Inc Full time
Unlock the Power of Data Science at Geospatial And Cloud Analytics Inc

We're on a mission to revolutionize the way we approach financial services, making them more accessible, convenient, and secure for everyone. As a key member of our analytics team, you'll play a crucial role in delivering actionable insights that drive business growth.

Your Key Responsibilities
  • Collaborate with stakeholders across Marketing, Product, Sales, Portfolio, and Finance to develop data-driven solutions that meet business objectives.
  • Identify key metrics and build executive-facing dashboards to track progress and prioritize initiatives.
  • Aggregate and analyze large datasets, building data pipelines to serve reports and dashboards.
  • Develop and maintain detailed reports and dashboards for the PayPal Credit product in the UK.
  • Work with Legal and Compliance stakeholders to ensure regulatory objectives, such as complying with Consumer Duty, are met.
  • Support various departments with data and insights to help them achieve their specific goals.
What We're Looking For
  • A degree in a quantitative field or equivalent experience.
  • 4+ years in a data science/analytics role, ideally in a financial organization, working with a wide range of datasets and stakeholders.
  • Essential experience with SQL, and a scripting language (Python).
  • A good understanding of financial products and payments data, ideally in a regulated environment.
Why Join Us?

We're committed to building an equitable and inclusive global economy, and we need talented individuals like you to help us achieve our mission. At Geospatial And Cloud Analytics Inc, we offer a range of benefits to support your financial, physical, and mental well-being, including a flexible work environment, employee shares options, health and life insurance, and more.

We're proud to be an equal employment opportunity employer, and we welcome applications from diverse candidates. If you're passionate about data science and want to make a real impact, we'd love to hear from you.


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