Key Responsibilities Include:

• Work closely with business teams to understand their priorities and analytics needs
• Create sophisticated analyses and reporting to provide insights at scale that support growth strategies and empower data-informed decision-making
• Visualize and articulate analytics results to make it easy for stakeholders to interpret and take actions
• Help stakeholders identify new opportunities through data analysis
• Create, monitor, review, and analyze reports and dashboards, take initiative to fix issues that arise and conduct root cause analyses

Minimum Requirements:

• Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline
• 4+ years of professional experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning
• Expert in using SQL to extract data and create actionable data sets
• 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
• Comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment, able to pivot quickly to new priorities
• Attention to detail and ability to multitask
• Excellent problem-solving skills.
• Strong business judgment and communication skills
• Fluent in English

Preferred Knowledge and Skills:

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

The Tech You’ll Work With:

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