Remote Excel Architect: Financial Models & Dashboards

AfterQuery; Australia; Remote; AUD 83,000 - 165,000; Part time

Benefits offered by this job

Flexible schedule

Startup exposure

High pay

Portfolio building

Professional growth

Job summary

AfterQuery is seeking an expert to work remotely on a project basis, delivering complex Excel models and dashboards while handling data cleaning and automation tasks. This role is asynchronous, with 5–20 hours per week over 2–3 weeks, offering exceptional pay and portfolio-building exposure.

You will tackle diverse data challenges for real-world business problems, build scalable financial models, and contribute to analytics workflows as part of a flexible, remote project team.

Qualifications

• Expert-level Microsoft Excel including advanced formulas, Power Query, pivot tables, and VBA.
• Proven track record delivering complex spreadsheet models or data tools in a professional setting.
• Strong attention to detail and ability to work independently on technical and analytical tasks.
• Bachelor's degree or higher in Finance, Accounting, Data Science, Business, Mathematics, or a related field.

Responsibilities

• Build and maintain complex Excel models including financial models, forecasting tools, scenario analyses, and operational dashboards.
• Design and implement advanced formulas, pivot tables, Power Query workflows, and VBA/macro automation.
• Clean, transform, and structure large datasets for analysis and reporting.
• Develop clear, visually polished Excel dashboards and reports for business stakeholders.
• Document spreadsheet logic, assumptions, and methodologies clearly and reproducibly.

Skills

Advanced Excel

Spreadsheet modeling

Attention to detail

Independent work

Education

Bachelor's degree or higher in Finance, Accounting, Data Science, Business, Mathematics

Tools

Power Query

Pivot tables

VBA

Job description

AfterQuery is seeking an expert to work remotely on a project basis, delivering complex Excel models and dashboards while handling data cleaning and automation tasks. This role is asynchronous, with 5–20 hours per week over 2–3 weeks, offering exceptional pay and portfolio-building exposure.

You will tackle diverse data challenges for real-world business problems, build scalable financial models, and contribute to analytics workflows as part of a flexible, remote project team.