Data Analyst II - Finance
Tamara is hiring a Data Analyst II - Finance in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this data analyst role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include SQL, Python and R.
- Level files it as a mid-level role.
- Level lists 39 other open roles at Tamara.
- The role was posted within the past week.
AI in this role
Support the finance function by developing analytical solutions, financial models, and dashboards.
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.
How we rate this
Data Analyst II - Finance at Tamara rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data analyst job
- $109k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where financial modeling was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
- Tell me about a project where financial analysis was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Financial Modeling, Data Visualization, Financial Analysis, Forecasting, and ETL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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