Data Analyst

Posted 5hrs ago

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Job Description

Data Analyst helping Sezzle, a fintech installment-payment platform, improve business outcomes through SQL, Python, dashboards, and actionable analytics. Partnering across teams to support scalable, data-informed 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 and dashboard issues and conduct root cause analyses
  • Use AI tools, including LLMs, copilots, and workflow automation platforms, to enhance 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 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 sometimes 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
  • Technical environment includes Redshift, PostgreSQL, dbt, AWS, G Suite, Mac, Claude, and ChatGPT
  • Wonderlic test, coding assessment, recruiter interviews, verbal case study interview, and verbal behavioral interview are part of the interview process

Benefits:

  • Salary of $2,800 - $6,800 USD gross per month
  • Remote work