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EY

Senior Data Analytics Consultant (m/f)

Senior Data Analytics Consultant (m/f)

We're looking for our new colleague who will be part of our Data & Analytics team

About EY

As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2026 a reality.
  • In line with our corporate culture, we support you in developing your potential by focusing on topics of diversity, opportunity equality, life balance, further training and internationality.
  • Gain experience - we want you to experience more at EY and for you to gain new insights within one of the leading audit and consulting companies.
  • Foster your development - You will explore our exciting working environment, receive individual mentoring and benefit from getting to know the broad spectrum of our clients
  • Building a Network - make valuable contacts for your further career and get to know colleagues with different skills, educational and geographical backgrounds. You will discover: The ways of working and thinking in a global company are diverse!


About the job/team

Within the digital consulting team at EY Luxembourg you will deliver transformative solutions to clients that are aligned to industry best practices and provide thought leadership in data space. You will use statistics, data mining, machine learning and deep learning techniques to deliver data driven insights for clients and you will gather models' requirements, design experiments and analyses, query and manipulate data, build and deploy predictive models, and interpret the outcomes for consumption by client leadership.

About you

You have the ability to creatively take on new challenges and work outside your comfort zone. You are highly motivated to deliver both independently and as a team player. You are a problem-solver with attention to details and you can translate complex models into visuals and actionable insights. We are looking for someone with excellent communication and presentation skills and who is organized, flexible and able to manage several tasks.

To qualify for the role, you must have at least 5 years + proven experience as well as

Diplomas
  • A master's degree or equivalent certification in Computer Science, Information Systems, Mathematics, Engineering or other appropriate academic majors


Data Engineering & Architecture
  • Strong proficiency in database technologies i.e. SQL and Big Data technologies e.g. Apache Spark on Databricks etc.
  • At least 2 major implementations using Databricks.
  • Proven record of conception and implementation of one Data Warehouse.


Data Science & Analytics
  • Conception and Implementation of at least 2 major Data Science solution
  • Strong knowledge of at least one open source analytics language (e.g. R, Python, or Weka) is mandatory.
  • Advanced data mining and transformation skills.
  • Ability to build a wide variety of analytical models, including (but not limited to) decision trees, random forest, linear & logistic regression, market basket, neural networks, naïve Bayes, and support vector machines
  • Ability to create reports and analysis using BI reporting tools (Power BI, QlikView or Tableau)


Managing skills
  • Demonstrated strong relationship management skills with internal & external clients (e.g. management, peers and colleagues).
  • Proven ability to find common ground and develop collaborative approaches; experience influencing outcomes without directing or commanding
  • Strong project management skills including, critical ability to coordinate and balance multiple projects in a time-sensitive environment, under pressure, and meeting deadlines.


Additional Knowledge
  • Knowledge in coding/programming (JS Stack is a plus)
  • Fluent language skills in English, French and/or German language skills are considered an asset


Ideally, you'll also have
  • Any additional language skill will be considered as an asset


Application process

EY is committed to be an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

In our recruitment process, you will be contacted first for an initial phone call to get to you know a bit more and discuss salary and packages. Then you will be invited for some interviews either in our office or via Skype. Eventually you will be informed of our decision.

If what you read inspires you, then do not hesitate to click on the apply button or contact Clara Fassbender and we'd love to hear more from you because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

Make your mark.

Apply now.

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