Intern

Dunnhumby

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profile Job Location:

São Paulo - Brazil

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

dunnhumby is the global leader in Customer Data Science partnering with the worlds most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight advanced technology and close collaboration to help our clients grow innovate and deliver measurable value for their customers.

dunnhumby employs nearly 2500 experts in offices throughout Europe Asia Africa and the Americas working for transformative iconic brands such as Tesco Coca-Cola Nestlé Unileverand Metro.

Were looking for a Talented Intern someone curious with strong logical thinking and an ability with numbers and data. This is also a great chance to practice your English and be part of an international work culture learning from a diverse and collaborative team.

The Intern programme is about doing hands-on work while learning about and experiencing our unique culture. Working closely with your manager youll kick off a project and see it through to completiona project that will actually impact the way we do business. At the end of your time with us youll present your project and findings to our business leaders and share your recommendations for how we can best move forward. We give you real responsibility because we know youre capable of doing real work and we want you to have the opportunity to showcase your talent and grow your skills.

What we expect from you

  • You are currently studying at university (full-time) in one of these or similar areas: Business Marketing Economics and Engineering.
  • You have intermediate or advanced Excel skillsand enjoy working with data.
  • You are comfortable reading and writing in English. You dont need to be perfectwell help you grow.
  • Youre curious analytical and like solving problems.
  • Youre excited to come to the office three times a week to collaborate with the team in person.
  • You can think logically and make decisions using data and insights.
  • You communicate clearly and are open to sharing ideas.

What you can expect from us

We wont just meet your expectations. Well defy them. So youll enjoy the comprehensive rewards package youd expect from a leading technology company. But also a degree of personal flexibility you might not expect. Plus thoughtful perks like flexible working hours and your birthday off.

Youll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble small-business feel that gives you the freedom to play experiment and learn.

And we dont just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network dh Proud dh Family dh One dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working

At dunnhumby we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others so if this is important to you please raise this with your recruiter as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)


Required Experience:

Intern

dunnhumby is the global leader in Customer Data Science partnering with the worlds most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight advanced technology and close collaboration to help our clients grow innovate and deliver measurable valu...
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About Company

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Global leader in Customer data science, retail media and analytics, experts in working with brands, grocery retail, retail pharmacy, and retailer financial services.

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