Data Analyst
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Job Description
Data Analyst driving insights for Sezzle, a fintech company offering interest-free installment payments. Building SQL, Python, dashboard, and AI-enabled analytics workflows for scalable decisions.
Responsibilities:
- Partner with stakeholders across Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Operations to identify opportunities, measure performance, and improve operational efficiency
- Understand business priorities and analytics needs
- Create sophisticated analyses and reporting to support strategic initiatives and data-informed decision-making
- Visualize and articulate analytics results for stakeholder action
- 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, LLMs, copilots, and workflow automation platforms to improve analytical productivity and develop scalable business solutions
- Write SQL queries, develop dashboards, perform exploratory analyses, and contribute Python-based analytics workflows
Requirements:
- Degree in statistics, math, actuarial science, economics, data science, computer science, or 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
- Wonderlic test, coding assessment, recruiter interviews, verbal case study interview, and verbal behavioral interview are part of the interview process
- Technical environment includes Python, Redshift, PostgreSQL, dbt, AWS, G Suite, Mac, Claude, and ChatGPT
Benefits:
- Remote work arrangement
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