Data Analyst II - Finance

About The Role We are looking for an early to mid career Data Analyst (min 3 years experience) to take us to the next stage of growth, supporting the finance function. The successful candidate will have experience developing analytical solutions and assisting with data-driven decision making, while managing stakeholders from finance and corporate finance. You will be at the confluence of finance and data, helping to shape financial reporting with a solid understanding of accounting and finance paired with practical experience working on databases, ETL/ELT processes, and building dashboards. Tamara is a high growth startup looking to develop key product success metrics and enhancing decision making through data. A Typical Day • Drive business impact through actionable insights and identifying key opportunities for rapid growth • Build dashboards that provide accurate and actionable insights • Work with the data engineering team on the data enrichment needs of the product team • Work with stakeholders across the business to prioritize projects based on impact and drive delivery • Developing a process to identify, analyse, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders • Ensuring governance and being a steward of good analytical practices throughout the process Your Ideal Expertise Experience • 4+ years of experience in financial data analysis, with a preference for experience in the BNPL industry or a related field. Demonstrating understanding of the unique data and financial metrics relevant to BNPL. Technical Skills • Proficiency: Financial modeling, data manipulation using SQL, and potentially programming languages like Python or R. • Data Visualization: Creating clear and insightful data visualizations like dashboards and reports. Financial Knowledge And Analysis Techniques • Financial Budgeting and Forecasting: Experience in working with financial budgets and forecasts, using data analysis to inform projections and identify potential risks or opportunities. • Financial Statement Analysis: Expertise in analyzing financial statements to assess a company's health, performance, and risk. • Cost Analysis: Experience in analyzing business operation costs and identifying cost optimization opportunities. • BNPL Products and Metrics: Familiarity with various BNPL products (e.g., point-of-sale financing, virtual cards) and the financial metrics used to evaluate their performance (e.g., approval rates, conversion rates, delinquency, recovery). Financial Markets And Instruments • Understanding of: Equity markets, debt markets, derivatives markets. • Debt Securitization Analysis: Knowledge of debt securitization structures, tranching analysis, and performance metrics used to evaluate securitized BNPL debt instruments (e.g., credit enhancement levels, loss severities). Financial Regulations • Awareness of relevant financial regulations: GAAP, IFRS, or industry-specific regulations. Additional Desirable Qualities • Data Management: Experience managing and cleaning large datasets. • Problem-solving and Critical Thinking: Tackling complex financial problems through data analysis and translating them into actionable insights. • Communication Skills: Excellent written and verbal communication to present findings and recommendations. • Project Management: Ability to lead or participate in cross-functional projects, collaborating effectively with various departments. • Business Acumen: Identifying key financial metrics that drive profitability and growth, along with commercial awareness of the industry and competitors. Show more Show less

4+ years of experience in financial data analysis, with a preference for experience in the BNPL industry or a related field. Demonstrating understanding of the unique data and financial metrics relevant to BNPL. Proficiency: Financial modeling, data manipulation using SQL, and potentially programming languages like Python or R. Data Visualization: Creating clear and insightful data visualizations like dashboards and reports. Financial Budgeting and Forecasting: Experience in working with financial budgets and forecasts, using data analysis to inform projections and identify potential risks or opportunities. Financial Statement Analysis: Expertise in analyzing financial statements to assess a company's health, performance, and risk. Cost Analysis: Experience in analyzing business operation costs and identifying cost optimization opportunities. BNPL Products and Metrics: Familiarity with various BNPL products (e.g., point-of-sale financing, virtual cards) and the financial metrics used to evaluate their performance (e.g., approval rates, conversion rates, delinquency, recovery). Financial Markets And Instruments: Understanding of: Equity markets, debt markets, derivatives markets. Debt Securitization Analysis: Knowledge of debt securitization structures, tranching analysis, and performance metrics used to evaluate securitized BNPL debt instruments (e.g., credit enhancement levels, loss severities). Financial Regulations: Awareness of relevant financial regulations: GAAP, IFRS, or industry-specific regulations. Additional Desirable Qualities: Data Management: Experience managing and cleaning large datasets. Problem-solving and Critical Thinking: Tackling complex financial problems through data analysis and translating them into actionable insights. Communication Skills: Excellent written and verbal communication to present findings and recommendations. Project Management: Ability to lead or participate in cross-functional projects, collaborating effectively with various departments. Business Acumen: Identifying key financial metrics that drive profitability and growth, along with commercial awareness of the industry and competitors.

Drive business impact through actionable insights and identifying key opportunities for rapid growth. Build dashboards that provide accurate and actionable insights. Work with the data engineering team on the data enrichment needs of the product team. Work with stakeholders across the business to prioritize projects based on impact and drive delivery. Developing a process to identify, analyse, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders. Ensuring governance and being a steward of good analytical practices throughout the process.