Data Analyst, Product

Prosper is America’s first peer-to-peer lending marketplace, with more than 2 million members and over $5 billion in funded loans.

Prosper allows people to invest in each other in a way that is financially and socially rewarding. On Prosper, borrowers list loan requests between $2,000 and $35,000 and individual lenders invest as little as $25 in each loan listing they select. Prosper handles the servicing of the loan on behalf of the matched borrowers and investors.

We are seeking a Data Analyst - Product to join Prosper’s Business Intelligence technology team. The role will initially report to the VP, Business Intelligence. The Data Analyst - Product will provide analytic and data support exclusively to the Product Management team. The ideal candidate must be eager to develop a deep knowledge of Prosper and the peer to peer lending business. The Product Analyst will work daily with Product Managers to continuously improve product function in a fast paced, data-driven culture. The role requires the use of analytical skills and creativity to mine and improve data, develop meaningful dashboards, design and evaluate A/B tests, surface meaningful insights, and generate reports that keep the business informed on key performance metrics.

• Organizes source data and develops dashboards to measure and assess Product OKRs.
• Fosters a data-driven culture by bringing rigor to AB testing and product performance monitoring.
• Builds a deep understanding of product function and develops alerts, reports, and dashboard visualizations that surface insights about both product and business performance.
• Understands all the data, knows where to find it and how to use it.
• Serves as liaison between Product and BI teams to communicate changes to source data and maintain integrity of downstream data warehouse.
• Validates the logic used to transform source data into data warehouse measures.
• Applies analytical skills and data model knowledge to diagnose and solve production issues.
• Gathers nuanced data requirements and eliminates ambiguity as a data consultant to the product business.
• Converts and synthesizes large amounts of disparate data into actionable insights.
• Identifies and executes improvements to reporting processes and underlying source data.
• Develops relationships and acts as an advisor to business users, developers, DBAs, and data engineers to effectively drive results.
• Documents SQL queries, source data, business process, and KPI definitions.
• Eagerly tackles ad hoc analysis requests.

• BS in STEM field
• 3+ years business intelligence, data mining experience supporting a business function
• Advanced SQL, Excel, and Tableau skills; eager to learn new languages, reporting tools
• Experience with Omniture a strong plus
• Proven analytical skills; can problem-solve independently and collaboratively
• Effectively communicates, in writing and verbally, to both technical and non-technical audiences
• Enjoys working in a fast-paced, start-up environment; thrives on change
• Passionate about using data to create business insight and drive business solutions