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Applied technical hiring

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The Missing Delays

Data Analyst

Saved4:12

Mission

The dashboard reports zero delayed revenue. The service team says two delayed orders are missing. Find out why.

Five minutes. Real materials. One decision.

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Built for Applied Technical Roles

These roles sit between technical systems and real business problems. A résumé can list the tools. Fydell shows how someone uses them.

Data Analyst

Investigates data, finds errors, calculates defensible results and communicates what changed.

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Example problem

A dashboard reports zero delayed revenue. The service team says two delayed orders are missing. The join is silently dropping records.

What we observe

Data investigationAnalytical correctnessValidation disciplineBusiness interpretationPrioritization under deadline

Tools in the simulation

Data tables · metric definitions · stakeholder chat

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A real scored attempt of the Data Analyst simulation, rendered with the same components employers see. Every number comes from the actual scoring engine.

Simulation completed

The Missing Delays

Data Analyst · Completed in 4m 47s

90 / 100

Strong evidence

What was correct

  • Correctly identified inconsistent ID formatting as the cause of the missing records.
  • Calculated the corrected delayed revenue of $1,300 from the source data.
  • Asked the stakeholder a relevant clarifying question before concluding.

What needs review

  • A stronger recommendation would normalize IDs before joining and add a check for unmatched delay records so this cannot silently recur.

Competency breakdown

Problem diagnosis
100 / 100Strong evidence
Analytical correctness
100 / 100Strong evidence
Evidence selection
100 / 100Strong evidence
Recommendation quality
50 / 100Developing evidence
Stakeholder communication
100 / 100Strong evidence

Candidate response

Strip hyphens from order IDs in both files before the dashboard join so formats always match.

Prototype evidence score. Not yet validated as a predictor of job performance.

AI-use summary

In-product AI use is observed, not banned: prompts, inserted output and whether the candidate verified the result afterward.

This attempt: no AI assistance used.

Suggested follow-up questions

  • How would you catch unmatched records before the dashboard ships?
  • What would you tell leadership about the reliability of past reports?

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