Recruitment Data Cleanup & Insights

I have a single hiring tracker in Excel (about 47 rows) that has grown messy after several quarters of inconsistent updates. The immediate priority is to turn this file into a clean, analysis-ready dataset:

• Audit the whole sheet, flag and correct data-type mismatches, duplicate or missing values, and any inconsistent naming conventions.
• Re-structure columns so dates, candidate details, and hiring-stage fields use one uniform format throughout. If you spot a better field layout, propose it before implementing.
• Apply light, intuitive formatting—filters, conditional highlights, and a tidy header row—so anyone can scan the sheet and understand status at a glance.

Once the tracker is spotless, I need a succinct analysis that surfaces actionable insights. Typical examples might include time-to-hire by role, stages where candidates stall, or trends in source effectiveness, but I’m open to your recommendations on which dimensions matter most. Please include:

• A short narrative summary (1–2 pages) outlining key patterns, bottlenecks, and quick wins.
• Supporting pivot tables or charts embedded in a separate worksheet.

Acceptance criteria
– No validation errors when paste-tested into a fresh workbook.
– Dates, names, and stage labels fully standardized.
– Clear and detailed list explaining all changes made.
– Final file and insight report delivered in the same workbook, clearly labeled.
– The final structure and formatting must be easy to understand and simple to navigate for anyone on the hiring team.

I’m looking for someone comfortable with advanced Excel functions (Power Query, pivot tables, lookups) who can both tidy data and translate it into plain-English findings I can share with the wider hiring team.