Unifying Recruitment and Retention Insights with HR Analytics

From disconnected spreadsheets to integrated dashboards — empowering HR teams to optimize hiring, control payroll costs, and reduce turnover with data-driven decisions.

The Challenge

Despite handling a high volume of job openings in technology, the HR team lacked visibility into the recruitment funnel and employee costs.

  • Difficulty measuring time-to-fill and comparing effectiveness of recruitment sources.
  • Lack of visibility on hired vs. open vs. frozen jobs, making workforce planning reactive.
  • Limited control of payroll costs by department and inability to monitor turnover and tenure.
  • Manual spreadsheets for both recruitment and staff costs, which were time-consuming and prone to errors.

The Solution

Implemented Power BI dashboards integrating Recruitment (job & candidate) and Staff (employee & costs) datasets.

  • Built unified views of job pipeline (open, filled, frozen), candidate source mix, and time-to-fill performance.
  • Connected approved candidates to new employee records, enabling end-to-end analysis from hire to retention.
  • Automated monthly payroll cost reporting, segmented by department, job title, and employee status

With clear and automated dashboards, the HR team finally connected recruitment with staff retention and costs, enabling proactive workforce planning and smarter hiring decisions.

Results

Recruitment funnel visibility
100% clarity on job status (open, filled, frozen) and candidate pipelines

Source efficiency
Identification of the channels driving the most effective hires

Time-to-fill
Reduction of average hiring time by 25% through source optimization

Payroll visibility
Full control of monthly costs by department and job title

Reporting Time
80% reduction in manual reporting efforts

Tools Used

Power BI
PowerApps
Power Automate
SharePoint
Dataverse
Google Analytics 4
Excel
Typebot
Adobe PhotoShop
Other tools:
  • Recruitment & Retention datasets (custom HR data model)
  • Excel connectors / SQL data sources

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