People Analytics Data Scientist

1 semana atrás

LindaaVelha, Portugal Nestle Operational Services Worldwide SA Tempo inteiro

**People Analytics Data Scientist**

**Position Summary**

We are looking for a corporate** People Analytics Data Scientist **reporting to the Head of People Analytics Innovation and Data Science.

In this role, you will design, build and deliver best practices in People Data & Analytics across the business globally and within our zones. You will also deliver innovation in analytical approaches to understand and mitigate people driven risk to business.

**A day in the life...**
- Build new - and improve existing - statistical models to analyze and predict the behaviors of the Nestlé workforce
- Innovate, code, report and discover information hidden in vast amounts of data that will help us to make ever smarter decisions
- Innovate with automation and machine learning to design best in class solutions that can be industrialized
- Bring added value to the business by combining high standards, brilliant customization and a collaborative, end-to-end approach
- Deliver standards, frameworks, tools and methodology for people analytics & Business Intelligence.
- Provide consultation & advice in designing any new build dashboard and solutions for the region.
- Participate in cross-CoC and CoS HR master data and analytics governance bodies to ensure seamless, end-to-end alignment across HR, and consistent HR services delivery to all zones, businesses, functions and markets.

**What will make you successful?**

To be successful in this role you’ll have:

- Skills in statistical analytics and hands-on programming experience in R
- Basic level of with SQL, ETL, Data Warehouse solutions and databases
- Experience with designing end user reports with Power BI is desirable
- Familiarity with HTML5, CSS3 and JavaScript is desirable
- Design and deliver standards, frameworks, tools and methodology for Business Intelligence and Analytics solutions and dashboards for the region.
- Understanding of Project Management and Delivery
- Understanding of working within a Matrix environment; achieving results through effective influencing, collaborating
- Understanding of working within a Matrix environment; achieving results through effective influencing, collaborating
- Degree Level education (Masters or PHD preferable) in Data Science, Computer Science or Mathematics
- Application of Data Analysis using HR Data

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