Back
Details
Steps
Tools

Gender Pay Gap Analysis for ING

ING is committed to equal opportunities and equal rights. They wanted to better measure and address the gender pay gap (GPG). While they had a proof of concept and an annual script-based tool, it was not flexible or always reliable. The goal was to develop a robust, user-friendly tool that provides faster and more accurate insights.

Results

The new tool reduced analysis time from weeks to just a few minutes, allowing gender pay differences to be identified faster and more accurately. Analyses are more flexible and consistent, making the tool easier to use. This supports ING in actively promoting gender equality and transparency. Learn more in the gender pay gap analysis, and in the ING annual reports. This project aligns with our mission “Data for a Better Future” by promoting gender equality at work. It contributes to a fairer and more transparent workplace, which is an important part of broader societal progress and sustainable business practices.

The Process

1

Analyze

Together with the business owner, we identified the value of investing in understanding and reducing the gender pay gap. We reviewed the existing tool and found areas for improvement, such as creating a direct database connection, validating and cleaning data, and improving statistical analysis to generate accurate and actionable insights.

2

Strategy

Working with the HR Analytics team, we identified use cases and designed a modular system with clear components and strong analytical capabilities. We explored new statistical methods to improve analysis and planned for future needs.

3

Execute

We rewrote the script into an object-oriented version, applied best practices like logging and hypothesis testing, and documented the entire process. This made the tool reliable, easy to use, and added functionality for hypothesis testing. HR Analytics could now run simulations to determine the best ways to reduce the gender pay gap.

4

Maintain & Scale

The new system supports command-line options for hypothesis testing and includes Power BI dashboards. Its modular, object-oriented design makes it easy to adjust, maintain, and run analyses, with clear knowledge transfer and governance for the future.

The Technology

PowerBI
PowerBI
Python
Python
SQL
SQL

What the client says

"I was consistently impressed with his exceptional analytical skills, attention to detail, and ability to work collaboratively with other members of the team."
"He managed to deliver the agreed feature for our product within timeline & handover his work & knowledge to the team. He streamlined the old codebase into a new scalable one adding required documentation. He is very curious and challenges the choices and decision instead of following the requirements in a blindfold way."
"Floris demonstrated an exceptional level of expertise and dedication in the field of data science. His contributions were instrumental in achieving the project's objectives and provided invaluable insights into gender pay gap within our organization."
Ready to Design Your Data Future?

Let's create your strategic roadmap

Do you want to make better use of your data and information? Contact us now, and learn how we can bring your organisation to the next level.

Your privacy choices

We use analytics only with your permission. You can accept, reject non-essential tracking, or manage your preferences at any time.