Senior Data Analyst

$50–80/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Location not stated
Field: STEM and Coding

Review large business data sets and assess AI-generated analysis for accuracy, privacy, and data quality. This remote, part-time contract is limited to U.S.-based analysts with at least three years of relevant experience.

The work

You will review business data sets for personally identifiable information (PII), validate data quality, reconcile inconsistencies, and verify analytical outputs. You will also assess AI responses to business and data analysis scenarios, document errors, and help create objective grading criteria for model performance.

What the screening covers

Expect detailed questions about large business data sets, QA workflows, PII handling, and cases where an analysis was technically valid but still misleading or incomplete. The platform is likely to test whether you can identify specific errors, support judgments with evidence, and turn analytical standards into repeatable evaluation guidelines.

Tools and preferred experience

Proficiency with SQL, Excel, and BI or visualization tools is preferred. Prior exposure to AI, data labeling, or model evaluation is also preferred, as is an advanced degree or professional certification in business analysis or data analytics.

Logistics

This is a remote, U.S.-based contractor role described as part-time. The listing does not specify weekly hours, working times, contract duration, or whether all work is asynchronous, so candidates should be ready to state their actual availability and clarify scheduling expectations. Pay band: $50–80/hr

What they look for

Personal Identifiable Information
Quality Assurance
Attention to Detail
Data Analysis
Business Data Sets

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 tests whether your claimed seniority is supported by a verifiable scope, including data volume, business context, ownership, and concrete analytical decisions.
A strong answer: Anchor the answer in one or two named projects, with the approximate scale and structure of the data, your personal responsibilities, the tools used, and a measurable or auditable outcome. Distinguish work you performed directly from work owned by the broader team.
Where people lose it: Candidates lose points by describing dashboards or reports without explaining the underlying data scale, analytical decisions, or their own contribution.

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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