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How adapt to Google Sheets?

NatooraData Analyst · Technical Screen
MediumData AnalystTechnical ScreenBehavioral & Leadership

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This question evaluates the candidate's ability to transfer core analytics skills to a spreadsheet-first workflow, adapt to collaborative and audit-sensitive data processes, and demonstrate leadership around governance, scalability, and the downstream impact of pricing decisions.

You are interviewing for a pricing analyst role. The interviewer says that you do not have direct pricing experience, and that much of the team's day-to-day work is done in Google Sheets rather than SQL, Python, or R.

How would you convince the interviewer that you can still be effective in the role?

In your answer, address all of the following:

  • how your prior analytics experience transfers to pricing work even without exact domain experience;
  • the most complex model or workflow you have built or maintained in Google Sheets;
  • how you would manage scale, collaboration, version control, auditability, and formula reliability in a spreadsheet-first environment;
  • when Google Sheets is appropriate versus when the process should be migrated to SQL, Python, or a warehouse-based pipeline.

Assume the team works with weekly product-level pricing and margin data, multiple business stakeholders edit shared sheets, and decisions made from the spreadsheet can affect downstream pricing actions.