Financial Data Analyst

You will analyze and organize financial and commercial datasets for company financial statements, investment portfolios, retail transactions, and accounts receivable. The work combines data analysis, reporting, financial metrics, and clear communication of findings.

You may also help identify trends and anomalies, segment customers, prepare reports, and present results through dashboards or documentation.

• Analyze financial statements, investment portfolio data, retail transaction records, and accounts receivable information.
• Use Python, SQL, Power BI, and Excel to organize data and prepare analyses.
• Identify trends and unusual results, perform customer segmentation, and calculate financial metrics.
• Support financial reporting and present findings through dashboards or clear documentation.

This is a part-time contractor role open worldwide. It is suited to people with practical data analysis skills and an interest in financial reporting.

• Pay: $35 to $75 per hour.
• Schedule: Less than 20 hours per week.
• Work arrangement: Part-time contract work, open worldwide.
• Education: Current computer science students or people with equivalent recent training.
• Required skills: Python, SQL, Power BI, Excel, and financial data analysis.
• English: Upper-intermediate proficiency required.
• Helpful experience: 1C, financial reporting, reconciliation, variance analysis, Linux, Bash scripting, or accounting data.
• Helpful languages: Russian or Kazakh.
• Personal strengths: Analytical thinking, attention to detail, communication, time management, flexibility, and willingness to learn.

Apply on OpenTrain. The employer reviews applications there.

AI training is the human work behind systems that learn from examples, including organizing data and evaluating model outputs. OpenTrain AI is the hiring and contracting organization for this role, helping contributors take part in work that improves how AI systems use and understand data.