Excel Expert for Financial Modeling

You will create and maintain complex Excel tools for financial modeling, forecasting, scenario analysis, operational reporting, and business dashboards. You will work with real-world business data and make spreadsheet logic clear, accurate, and reusable.

• Build financial models, forecasting tools, scenario analyses, and operational dashboards in Excel.
• Use advanced formulas, pivot tables, Power Query, and VBA or macro automation.
• Clean, transform, and organize large datasets for analysis and reporting.
• Create clear, polished dashboards and reports for business stakeholders.
• Document spreadsheet logic, assumptions, and methods so others can reproduce the work.

What it pays and takes

This role suits someone who can work independently on detailed technical and analytical tasks and who has delivered complex spreadsheet models or data tools in a professional setting.

• Pay: $60 per hour.
• Location: Open to candidates in the countries listed for this role.
• Language: Professional fluency in English.
• Expert-level Microsoft Excel skills, including advanced formulas, Power Query, pivot tables, and VBA.
• A bachelor's degree or higher in finance, accounting, data science, business, mathematics, or a related field.
• Strong attention to detail and the ability to work independently.
• Helpful experience includes financial modeling, FP&A, business intelligence, Excel add-ins, Power BI, Solver, Python automation, or VBA macros.
• Background teaching or training others in Excel, data analysis, or financial modeling is helpful.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is free to join and helps people find projects where they can contribute to AI training and data-labeling work.

About AI training work

AI training is the human work behind artificial intelligence, including preparing, reviewing, and improving examples that models learn from. People with strong professional skills are needed for specialist projects because they can judge technical work accurately and explain their decisions clearly.