Product Data Analyst

Summary

Join Sezzle as a Product Data Analyst and enhance business outcomes through data-driven insights. Collaborate with business team leaders to define monitoring metrics and performance objectives. Your responsibilities will include writing SQL queries, contributing Python code, generating charts, and developing dashboards. You will work primarily with the Product team but also support other departments. This is a full-time, remote, salaried position with a salary range of $2,000-$4,500 USD gross per month, based on experience and performance. Sezzle is a remote U.S.-based company listed on the NASDAQ.

Requirements

• Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline
• 3+ years of professional experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning
• Expert in using SQL to extract data and create actionable data sets
• Experience with Python for data processing and analytics
• Ability to complete analyses with minimal guidance
• Experience with data visualization tools such as Redash, Tableau, Looker or Power BI
• Comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment, able to pivot quickly to new priorities
• Attention to detail and ability to multitask
• Excellent problem-solving skills
• Strong business judgment and communication skills
• Fluent in English

Responsibilities

• Work closely with business teams to understand their priorities and analytics needs
• Create sophisticated analyses and reporting to provide insights at scale that support growth strategies and empower data-informed decision-making
• Visualize and articulate analytics results to make it easy for stakeholders to interpret and take actions
• Help stakeholders identify new opportunities through data analysis
• Create, monitor, review, and analyze reports and dashboards, take initiative to fix issues that arise and conduct root cause analyses

Preferred Qualifications

• Graduate degree in a quantitative discipline
• Experience optimizing operational and financial performance
• Experience in payments, financial services, banking, fintech, BNPL

Benefits

This is a full time remote salaried position