Data Analyst
Platform ScienceFull Time
Junior (1 to 2 years)
Candidates should possess 4-8 years of professional experience in roles such as Data Engineering, Data Analysis, or Data Science, with a proven track record of building simple data pipelines and analyzing complex datasets to address business challenges. A Bachelor’s degree in Mathematics, Statistics, Economics, Engineering, or a related field is required, alongside strong command of SQL and Python programming languages, a solid foundation in statistical methods and applications, and demonstrated skill in data visualization and translating insights into actionable recommendations.
As a Data Analyst at Zip, you will collaborate extensively with cross-functional teams to provide models, data products, and insights necessary for informed decision-making and sustainable growth, developing metrics, building simple data pipelines, creating intuitive dashboards, and generating reports that drive business operations. You will leverage comprehensive data resources to extract valuable insights, working alongside leadership to transform business challenges into data-driven solutions and deliver actionable recommendations that directly impact business outcomes through thoughtful analysis and compelling data storytelling.
Provides buy now, pay later services
Zip Co offers buy now, pay later (BNPL) services that allow consumers to make purchases and pay for them over time without interest. Its main products, Zip Pay and Zip Money, cater to different spending needs, with Zip Pay for everyday purchases and Zip Money for larger expenses. The service works by enabling users to shop at partnered retailers and manage their payments through a clear and transparent system, where they can see how much they owe and when payments are due. Unlike many competitors, Zip focuses on providing flexible payment options and a straightforward fee structure, generating revenue through merchant fees, late fees, and interest on select products. The company's goal is to simplify the purchasing process for consumers while expanding its market presence across various countries.