GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions. 

We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.

For more information please visit us on GEP.com or check us out on LinkedIn.com.

As an Analyst - Data and Analytics, you will be responsible for developing and maintaining R scripts to support various data processing and analysis tasks within our team. Your expertise in R programming will be instrumental in automating repetitive tasks, performing statistical analysis, and building custom functions to enhance our data processing capabilities. Responsibilities include:
- Writing efficient and scalable R scripts to manipulate, clean, and analyze time series data;
- Collaborating with data scientists and analysts to implement statistical models and algorithms in R;
- Optimizing code performance and ensuring code reliability through rigorous testing and validation;
- Providing technical support and troubleshooting assistance to team members working with R-based tools and packages;
- Staying updated on the latest developments in the R programming language and integrating new features into our workflow.

Education: Graduation in Engineering, Statistics, Mathematics, or a related field with a strong emphasis on and data analysis. Specialized coursework in R programming and statistical analysis is desirable.

Desirable Skills:
- Expertise in R programming language and its ecosystem, including packages for data manipulation, visualization, and statistical analysis;
- Proficiency in scripting and automating data processing tasks using RStudio or similar integrated development environments;
- Familiarity with version control systems for managing and collaborating on R code repositories;
- Attention to detail and the ability to write efficient, modular, and maintainable code.

Credentials/Differentiators:
- Demonstrated experience in developing R-based solutions for data analysis, statistical modeling, or data visualization projects;
- Contributions to the R community, such as package development, participation in forums or meetups, or contributions to open-source projects;
- Completion of relevant online courses or workshops in R programming and statistical analysis.