HR Analytics Report - Connecting the Dots Between Hires, Pay & Exits
โ† Back to Case Studies
Human Resourcesโญ Featured Case Study

HR Analytics Report - Connecting the Dots Between Hires, Pay & Exits

๐ŸขIndustry

Human Resources โ€” Workforce Analytics

๐Ÿ‘คMy Role

Power BI Developer

๐Ÿ› ๏ธTools & Platforms

Power BI Desktop, Power BI Service, Power Query (M), DAX

๐Ÿ”—Data Sources

Excel/CSV, Payroll system

๐Ÿ–ผ๏ธ Project Gallery

HR Analytics Report - Connecting the Dots Between Hires, Pay & Exits โ€” image 1
๐Ÿ–ผ๏ธ Image ยท 1/7
๐Ÿ’ฌ

30-Second Pitch

โ€œHR had headcount, salary, hiring, and termination data, but never side by side over time. I built six pages ending in a comparison view that trends all three together, so leadership can finally see when a hiring slowdown and a termination spike are actually connected.โ€

๐Ÿ“

The Situation

HR was tracking headcount, salary, hiring, and termination figures manually each month across separate spreadsheets, with no connected view of how these metrics moved together over time โ€” so a spike in terminations and a slowdown in hiring in the same quarter could easily go unnoticed.

๐ŸŽฏ

The Challenge

HR needed both a monthly operational snapshot (headcount, hire rate, termination rate) and the ability to see salary, hiring, and termination trends side by side over time, rather than three separate charts that no one had time to cross-reference manually.

๐Ÿ› ๏ธ

My Approach

1

I built a six-page report progressing from a single overview to focused deep-dives, ending in a trend-comparison page purpose-built to connect the dots between them.

2

Overview โ€” headcount, salary, hires, terminations, hire rate, and termination rate as the single monthly snapshot for HR leadership.

3

Salary Analysis โ€” salary distribution and trends by department, role, and tenure, surfacing pay equity and budget questions.

4

Hire Analysis โ€” hiring volume and rate by department, source, and time-to-fill, giving talent acquisition a performance view.

5

Termination Analysis โ€” termination volume and rate by department and reason, isolating voluntary vs. involuntary attrition.

6

Payroll Analysis โ€” payroll cost trends reconciled against headcount, catching discrepancies between what HR expected to pay and what payroll actually processed.

7

Comparison Report โ€” trended salary, hires, and terminations together over time on one page, so HR could finally see, for example, whether a hiring slowdown coincided with a termination spike.

๐Ÿ“ˆ

Result & Impact

โœ“

Replaced manual month-end spreadsheet compilation with a live, self-service report.

โœ“

Let HR leadership catch termination-rate spikes and correlate them against hiring and salary trends in the same view, instead of after the fact.

โœ“

Reconciled payroll cost against headcount, surfacing discrepancies that had previously gone unnoticed until month-end close.

๐ŸŽ“

Skills This Proves

HR KPI design (hire ratetermination rateattrition)time-intelligence DAX for trend comparisonpayroll reconciliation modellingworkforce data architecture.

๐Ÿ› ๏ธ Tools & Platforms

Power BI DesktopPower BI ServicePower Query (M)DAX

๐Ÿ”— Data Sources

Excel/CSVPayroll system

Need something like this?

Let's discuss your BI or Copilot requirement.

Get In Touch
HR Analytics Report - Connecting the Dots Between Hires, Pay & Exits | Naveen Rawat โ€” Power BI + Copilot Case Study