Data Analyst
hace 5 días
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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