Website EY (Ernst & Young)

🔍 Job Summary Table of AI Data Analyst

AttributeDetails
Job TitleJunior Consultant AI Data Analyst
Visa SponsorshipInfo not available
Company NameEY (Ernst & Young)
CountryLuxembourg
LocationLuxembourg (On-site)
Salary RangeInfo not available
Job TypeFull-time
DepartmentDigital Consulting
Experience LevelEntry-level to Mid-level
Education RequirementsMaster’s degree or equivalent certification in Computer Science, Information Systems, Mathematics, Engineering or related field
Skills and ExpertiseSQL, Big Data, Databricks, Python/R, Analytics, Power BI/QlikView/Tableau
Posting DateInfo not available
Job ExpiresInfo not available
SourceLinkedIn
Apply LinkApply on LinkedIn

📝 Job Description Summary

The Junior Consultant AI Data Analyst role at EY Luxembourg offers an exceptional opportunity to deliver transformative data-driven solutions to clients while developing your skills in data mining, machine learning, and predictive modeling within a global professional services organization.

💼 Responsibilities

  • Deliver transformative data solutions to clients aligned with industry best practices
  • Apply statistics, data mining, machine learning, and deep learning techniques to provide data-driven insights
  • Gather model requirements and design experiments and analyses for client projects
  • Query and manipulate data using SQL and Big Data technologies
  • Build and deploy predictive models including decision trees, random forest, linear & logistic regression, and more
  • Interpret analytical outcomes for consumption by client leadership
  • Create reports and analysis using BI reporting tools such as Power BI, QlikView, or Tableau
  • Contribute to thought leadership in the data analytics space

🧠 AI Data Analyst Skills Required

The AI Data Analyst role at EY Luxembourg demands a unique blend of technical expertise and business acumen. As the digital landscape continues to evolve, EY is seeking professionals who can bridge the gap between raw data and actionable business insights. The ideal candidate will possess:

Technical Expertise

A strong foundation in database technologies is crucial for this position. You should demonstrate proficiency in SQL for data manipulation and querying. Additionally, experience with Big Data technologies, particularly Apache Spark on Databricks, is essential. Having at least one major implementation using Databricks will significantly strengthen your application.

Your analytical capabilities should extend to at least one open-source analytics language. Proficiency in Python or R will be highly valued, as these tools are fundamental to modern data science workflows. The ability to build various analytical models represents a core competency for this role. These models include, but are not limited to:

  • Decision trees and random forests for classification problems
  • Linear and logistic regression for predictive modeling
  • Market basket analysis for identifying patterns in customer behavior
  • Neural networks for complex pattern recognition
  • Naïve Bayes algorithms for probabilistic classification
  • Support vector machines for regression and classification tasks

Furthermore, experience with BI reporting tools is essential. You should be comfortable creating reports and visualizations using industry-standard platforms like Power BI, QlikView, or Tableau. These skills will enable you to communicate complex findings to stakeholders effectively.

Communication and Language Skills

As a consultant working in Luxembourg’s international environment, strong English language proficiency is mandatory. French and/or German language skills are considered valuable assets that will enhance your ability to collaborate with diverse teams and clients.

🌟 Benefits and Perks

  • Accelerate your technical capabilities and leadership skills with future-focused courses and development programs
  • Broaden your horizons by working on highly integrated teams across the globe
  • Collaborate with people of diverse professional and cultural backgrounds
  • Continuous investment in your personal well-being and career development
  • Develop your own personal purpose while contributing to EY’s positive impact on clients and society
  • Be part of building a better working world through transformative data solutions

🏢 Company Overview

EY exists to build a better working world, helping to create long-term value for clients, people and society while building trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate across assurance, consulting, law, strategy, tax and transactions. EY teams ask better questions to find new answers for the complex issues facing our world today.

💡 Company Culture and Growth Mindset

EY fosters an agile, growth-oriented mindset. The company values professionals who see opportunities instead of challenges and who ask better questions to seek better answers that build a better working world. The EY culture is inclusive, seeking people who embrace diverse perspectives, value differences, and team inclusively to build safety and trust.

🚀 Career Growth Opportunities

At EY, your career path isn’t predetermined—it’s yours to build. The company empowers you with the latest technology, surrounds you with high-performing teams, and provides the global scale and diverse and inclusive culture you need to discover your full potential. Through EY’s coaching and training programs, you’ll develop the skillsets needed to stay relevant today and in the future, all while building a network of colleagues, mentors, and leaders who will support your journey both at EY and beyond.

🌈 Diversity, Equity, Inclusion, and Belonging

EY values diversity of thought and perspective. The company actively seeks professionals from diverse backgrounds who can contribute unique viewpoints to client solutions. By fostering an inclusive environment, EY enables teams to develop innovative approaches to complex challenges and deliver exceptional client service.

⚖️ Equal Opportunity Statement

EY is committed to equal employment opportunities and does not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, disability, age, or any other protected characteristic. The company values the unique contributions that each individual brings to the organization.

🏠 Remote Work Policy

This position appears to be on-site at EY Luxembourg. Specific remote work policies are not detailed in the job posting, but EY generally provides tools and support for flexible working arrangements when appropriate for the role.

📋 Application Process

  1. Submit your application through LinkedIn
  2. Initial phone conversation with an EY recruiter
  3. Complete an online personality and logic questionnaire assessment
  4. Interview with business recruiters

Important Note: The offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. All information provided must be accurate.

⏰ Application Deadline

Info not available

📤 How to Apply

To apply for this exciting AI Data Analyst opportunity at EY Luxembourg, please click the “Apply” button on the LinkedIn job posting. Be prepared to provide your resume, qualifications, and any additional information requested during the application process.

Connect with EY on LinkedIn to learn more about their culture, values, and other career opportunities.

❓ FAQs or Additional Information

Q: What makes EY different from other consulting firms?
A: EY focuses on building a better working world through long-term value creation for clients, people, and society. The company’s global reach, diverse teams, and focus on data-driven solutions create a unique working environment.

Q: What growth opportunities exist at EY?
A: EY provides numerous professional development opportunities, including specialized training programs, mentorship, and exposure to diverse projects and clients across industries.

Q: What is the company culture like at EY?
A: EY promotes an inclusive, innovative culture that values diversity of thought and perspective. The company encourages continuous learning and professional growth within a collaborative environment.

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