Data Analyst II - Finance

Role overview

Typical work

• Drive business impact through actionable insights and identification of growth opportunities.
• Build accurate, actionable dashboards and support financial reporting.
• Work with data engineering on product data-enrichment needs.
• Prioritize cross-business projects based on impact and drive delivery.
• Identify, analyze, and interpret trends or patterns in complex datasets.
• Promote data governance and good analytical practices.

Experience and core skills

• At least 3 years’ experience per the role overview; 4+ years of financial data analysis is specified in the expertise section.
• Experience developing analytical solutions and supporting data-driven decisions; understanding of accounting and finance.
• Practical experience with databases, ETL/ELT processes, and dashboards.
• Financial modeling, SQL-based data manipulation, data visualization, budgeting and forecasting, financial statement analysis, and cost analysis.
• Experience in BNPL or a related field is preferred; familiarity with BNPL products and metrics is desirable.
• Python or R may be used for programming; the posting says potentially.

Financial knowledge

• Understanding of equity, debt, and derivatives markets.
• Knowledge of debt securitization structures, tranching analysis, and performance measures such as credit enhancement and loss severity.
• Awareness of GAAP, IFRS, or applicable industry-specific regulations.

Additional desirable qualities

• Experience managing and cleaning large datasets.
• Problem-solving, critical thinking, and ability to turn complex financial analysis into actionable insights.
• Strong written and verbal communication and ability to present findings and recommendations.
• Ability to lead or participate in cross-functional projects and collaborate across departments.
• Business acumen, including identifying profitability and growth metrics and understanding industry and competitors.