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Shell’s HR Analytics team is looking for ANALYSTS

A great opportunity for an expert in applied data science, statistics or econometrics with an interest in people and what drives them; you’ll join an award-winning people analytics team that’s widely recognised as a pioneer in this unexplored area where data science meet Human Resources.

1) HR Analytics Analyst (Statistical Modelling) 
2) Analyst (Machine Learning) HR Analytics

 

What’s the role?

Join us in Shell’s HR Analytics team and you’ll find huge scope for development – the chance to apply your analytical expertise to high-impact business problems, and to become a technical expert and leader in people analytics. You can look forward to working in a refreshingly open, collaborative, results-oriented team culture.

Shell's HR Analytics team is externally recognised as a front runner in people analytics – one of the newest and least explored areas of data science. We’ve delivered keynote presentations at major conferences, collaborated with universities and won prestigious prizes, such as the Wharton People Analytics research prize. Part of Shell’s HR Strategy Centre of Excellence, the team’s insight has a direct impact on strategic people-related decisions: from the shape of our performance management systems, recruitment processes, talent assessments and workforce planning to more focused predictive analytics on topics like safety, sales performance and the effect of home-working.

On one hand, it’s a highly technical job that involves applying advanced statistical analysis and predictive analytics to real-life business problems. On the other, you’ll be making the most of your soft skills to collaborate with senior leaders and stakeholders across HR and Shell’s businesses. 

 

What we need from you?

It’s an ideal role for someone with a master's degree (or equivalent) in a data science-related field such as econometrics, psychometrics, statistics, data science, or applied mathematics. Expertise in advanced regression analysis will be invaluable in the majority of your projects. You’ll need some practical predictive analytics experience on your CV – enough to show your ability to apply your quantitative and analytical skills in practice, and to show you can do hands-on statistical software code development, preferably in R.
 
To thrive as analyst in a large, complex business like Shell, where every project has lots of different stakeholders, you’ll need to convince us you have all-round consultancy and communication skills, plenty of intellectual curiosity and an interest in people analytics and HR. We want to talk to men and women with a natural ability to communicate complex statistical concepts to non-experts, both in person and in writing. We’re also looking for problem-solving prowess: you’re someone who anticipates opportunities and takes the initiative when it comes to pursuing solutions, formulating hypotheses and interpreting the results.

Add to that attention to detail, the integrity to work with sensitive information and the ability to work independently even when you’re under pressure, and we’d love to hear from you.

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