Excel Expert - Remote Data Analysis Contract
Listing checked September 22, 2026 · pay as published by AfterQuery
Overview
AfterQuery seeks an Excel specialist to take on project-based work inside its data analysis group. Assignments run across the next 2 to 3 weeks and center on financial modeling, forecasting tools, scenario analysis, and operational dashboards. You will clean and reshape large datasets, automate repeatable steps with Power Query and VBA, and document each model so other analysts can follow the logic. The contract stays remote and asynchronous, with about 10 hours of work each week for projects you accept. Pay ranges from $40 to $80 per hour.
What You'll Do5
- 1Build and maintain Excel models for financial planning, forecasting, scenario testing, and operations tracking.
- 2Create advanced formulas, pivot tables, Power Query workflows, and VBA macros that cut manual steps.
- 3Clean, reshape, and organize large datasets before analysis and reporting.
- 4Turn findings into clear Excel dashboards and reports for business stakeholders.
- 5Write down spreadsheet logic, assumptions, and methods so another analyst can reproduce the work.
Requirements8
- 1Expert command of Microsoft Excel, including advanced formulas, Power Query, pivot tables, and VBA.
- 2History of delivering complex spreadsheet models or data tools in a professional setting.
- 3Sharp eye for detail and comfort working alone on technical and analytical tasks.
- 4Bachelor's degree or higher in Finance, Accounting, Data Science, Business, Mathematics, or a related field.
- 5Background in financial modeling, FP&A, or business intelligence workflows.
- 6Hands-on work with Excel add-ins and integrations such as Power BI, Solver, or similar tools.
- 7Experience automating Excel through Python (openpyxl, xlwings) or VBA macros.
- 8Track record teaching or training others in Excel, data analysis, or financial modeling.
Who Should Apply
The strongest match is an Excel power user who has built financial models, forecasting tools, and dashboards for real business teams. You should be able to show past spreadsheet work that used advanced formulas, Power Query, pivot tables, and VBA, and you should feel at ease cleaning messy datasets before analysis. This contract suits someone who can manage a 10-hour weekly workload across 2 to 3 weeks and deliver without close supervision. Candidates who only know basic formulas or simple charts will struggle, because the role expects expert-level model design and automation. A common reason applicants score low is a portfolio that lists Excel as a skill but does not show specific models, file structures, or measurable outcomes. Another is missing the required degree in Finance, Accounting, Data Science, Business, Mathematics, or a related field.
Salary Insight
The listing pays $40.00 to $80.00 per hour for contract work. That range sits above many entry-level data analysis contracts and aligns with a specialist who can build complex Excel models, automate workflows with VBA, and document assumptions for a business audience. The top of the band often matches candidates who bring financial modeling, Power Query, and Python or VBA automation experience.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$80/hour
This role
$40–$80/hr
Most Data Engineering roles pay $50–$94 per hour. This role's pay falls inside that range.
Based on 238 similar roles that publish pay · 34 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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- Listed in last 30 days
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- 95%
Hiring most right now: micro1 (129) · Mercor (36) · Turing (30)
Most requested skills · share of roles
- python23%
- excel13%
- financial analysis9%
- data analysis9%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$40–80/hr
Required Skills
Application Tip
Show a sample workbook or a walkthrough of one complex Excel model you built. Name the advanced formulas, Power Query steps, VBA macros, and dashboard elements you used, then tie each piece to a result such as a shorter reporting cycle or a clearer forecast. If you have taught Excel or built FP&A models, put that near the top of your application because those details match the preferred qualifications.
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