Data Analysts & Spreadsheet Specialists (Must own MacBook)

$50–60/hr

rate as listed

Workload: ~10–20 hrs/week
Engagement: Project-based
Location: Worldwide
Field: STEM and Coding

Complete and narrate real spreadsheet and data analysis workflows to help evaluate and improve AI models. The role requires an eligible Mac, advanced spreadsheet skills, and approximately 10–20 hours of part-time work each week.

The work

You will complete realistic data analysis and spreadsheet tasks on your own Mac, then explain the reasoning behind your choices. Work may involve cleaning datasets, using pivot tables and lookups, creating charts, and building financial or operational models in Excel, Numbers, and/or Google Sheets. Familiarity with SQL, Python/R, Tableau, or Power BI is a plus rather than a stated requirement.

What the screening covers

The application begins with a resume review and a three-minute AI interview focused on research and reasoning. Expect prompts that ask for verifiable examples of spreadsheet work, explanations of how you validate an analysis, and concise reasoning under follow-up. Candidates who progress complete a brief paid assessment based on role-relevant tasks.

Eligibility and logistics

You must own a MacBook or Mac with an Apple M-series chip or Intel processor running macOS 15 or higher. The expected commitment is approximately 10–20 hours per week, with an immediate start preferred. The listing does not specify a location requirement or whether scheduling is fully asynchronous.

Pay band: $50–60/hr

What they look for

Advanced Excel, Numbers, and/or Google Sheets skills, including pivot tables, lookups, charts, and data cleaning
Currently pursuing or recently completed master's studies, or 2–3 years of relevant experience plus a bachelor's degree from a prestigious institution
Ability to build or interpret financial and operational spreadsheet models
Ability to narrate analytical reasoning clearly while completing tasks
Written and verbal communication for documenting methods, assumptions, and findings
Experience with SQL, Python/R, Tableau, or Power BI is a plus

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This verifies whether you meet one of the stated pathways: current or recent master's study, or 2–3 years of relevant experience combined with a bachelor's degree from a prestigious institution.
A strong answer: State the applicable pathway directly, including field of study, degree status or completion date, and specific dates and responsibilities for relevant employment. Keep the chronology precise enough to verify from your resume.
Where people lose it: Candidates lose points by describing general interest in analytics without making clear which education or experience pathway they satisfy.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

STEM AND CODING on Sidequest

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