Data Analyst

hace 5 días


Santiago, Metropolitana, Chile Sezzle A tiempo completo

About Sezzle: A Pioneer in Digital Payments

Sezzle is revolutionizing the shopping experience with its cutting-edge technology and interest-free installment plans. As a data-driven company, we're looking for a talented Finance Data Analyst to join our team.

Compensation:

We offer a competitive salary ranging from $2,000 to $6,600 USD gross per month, depending on experience and performance.

About the Role:

This exciting opportunity is perfect for a motivated and analytical individual who wants to thrive in a dynamic environment. You'll work closely with business leaders to develop monitoring metrics and performance objectives.

Your Responsibilities:

  • Collaborate with the finance team to understand analytics and reporting needs
  • Create sophisticated analyses and reporting to provide insights at scale
  • Visualize and articulate analytics results to make it easy for stakeholders to interpret and take action
  • Help stakeholders identify new opportunities through data analysis
  • Develop, monitor, review, and analyze reports and dashboards, taking initiative to fix issues that arise and conduct root cause analyses

Requirements:

  • Degree in statistics, math, actuarial science, economics, data science, or computer science
  • 2+ years of professional experience working with data, including complex dataset creation, reporting, profiling, and machine learning
  • Expertise in using SQL to extract data and create actionable datasets
  • Experience with Python for data processing and analytics
  • Able to complete analyses with minimal guidance
  • Proficient in data visualization tools such as Redash, Tableau, Looker, or Power BI
  • Comfortable making impactful decisions in a fast-paced environment, able to pivot quickly to new priorities
  • Attention to detail and ability to multitask
  • Excellent problem-solving skills and strong business judgment
  • Fluent in English

Preferred Skills:

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

The Tech You'll Work With:

  • Python
  • Redshift, PostgreSQL
  • Data build tool (dbt)
  • AWS, G Suite, Mac

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