Data Analyst
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Job Description
Data Analyst driving analytics for Sezzle’s interest-free installment fintech platform. Building SQL reports, dashboards, Python workflows, and actionable insights across business teams.
Responsibilities:
- Work closely with business teams to understand priorities and analytics needs
- Create sophisticated analyses and reporting supporting strategic initiatives and data-informed decision-making
- Visualize and communicate analytics results so stakeholders can interpret and act on them
- Help stakeholders identify new opportunities through data analysis
- Create, monitor, review, and analyze reports and dashboards
- Fix reporting issues and conduct root cause analyses
- Use AI tools, including LLMs, copilots, and workflow automation platforms, to improve analytical productivity and develop scalable solutions
- Collaborate with Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Operations teams
- Define key metrics, build reporting solutions, and deliver actionable analysis
Requirements:
- Degree in statistics, math, actuarial science, economics, data science, computer science, or a related quantitative discipline
- Master’s degree or 3+ years of professional experience working with data, including complex dataset creation, reporting, profiling, and machine learning
- Expert SQL skills for extracting data and creating actionable datasets
- 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
- Ability to make impactful decisions in a fast-paced and ambiguous environment and pivot quickly to new priorities
- Excellent problem-solving skills
- Strong business judgment and communication skills
- Fluent in English
- Preferred: graduate degree in a quantitative discipline
- Preferred: experience optimizing operational and financial performance
- Preferred: experience in payments, financial services, banking, fintech, or BNPL
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