Lead Data Analyst at YouLend- United Kingdom (Hybrid)

Job Description

Description
About Us

YouLend is the preferred global embedded financing platform for many of the world’s leading e-commerce sites, tech companies, and payment service providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway, and Take payments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend’s AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible, and affordable funding. We operate in 9+ geographies across the UK, EU, and the US.

We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future.

The Role:

We seek an experienced Data Analyst Lead who excels in technical and business domains. As a senior member of the team, you will leverage your expertise to drive data-driven solutions, collaborating closely with stakeholders to solve complex business challenges. A strong understanding of the modern data stack is essential, as well as exceptional written and verbal communication skills to convey insights and strategies across all levels of the organization.
Requirements

• Perform advanced analysis: use trend analysis, segmentation, and statistical methods to understand our data, generate insights, and solve business problems.
•  Form strong relationships with stakeholders across YouLend – strong relationships and a deep understanding of the business context lead to high-velocity problem-solving
•  Communicate findings through dashboards, graphics, verbal explanations, presentations, and technical write-ups
•  Set the standard for high-quality analysis at YouLend – both in technical skill and writing style. This will include mentoring more junior team members.
• Make analyses repeatable and sharable by making use of version control, notebooks, and widely-accessible write-ups

Essential:

• SQL for interacting with our Data Warehouse
• Python for analysis and visualization
• Data visualization tools (Tableau, Power BI, Looker)
• Problem-solving & critical thinking

Desirable:

• dbt for data modeling
• Advanced dashboarding skills
• Project management