Data & Analytics Consultants
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Strong value due to the role's focus on data-driven decision-making combined with broad industry exposure and career development opportunities.
- Engagement in diverse data analytics projects.
- Development of strategic insights from data.
- Strong career growth potential.
- Performance expectations may be demanding.
Pros
- Opportunity to work across various industries.
- Emphasis on skill development in analytics.
- Involvement in strategic decision-making.
Cons
- Performance metrics can be demanding.
- Potentially high-pressure deliverables.
- Requires constant upskilling to keep pace with trends.
Who it's for
Junior / Mid-level • Hybrid / collaborative
Good fit
- Data professionals with analytic skills.
- Individuals eager to work on data-driven strategies.
- Analysts looking for wide-ranging industry experience.
Not recommended for
- Newcomers without data analysis skills.
- Those uninterested in working with stakeholders.
- Candidates preferring strictly technical roles.
Motivation fit
Key skills
About the job
From strategy to execution, our Data Analytics team is at the core of our commitment to delivering strategic insights and operational excellence. We offer comprehensive consulting services across a number of industries such as financial services, technology, consumer products and many others. Our goal is to help clients across these sectors implement innovative strategies and achieve exceptional outcomes through informed decision-making. The opportunity As a Data & Analytics Consultant, you will be actively contributing to transforming data into actionable insights for our clients. Your role will involve a combination of technical expertise, analytical skills and business knowledge to help clients leverage their data assets to make informed decisions, optimize operations and drive growth. Your Key Responsibilities Key Requirements: What do we offer? We provide attractive salaries, excellent benefits and reward you for your performance. You will also be given full training and the opportunity to undertake industry recognised professional qualifications. As an investor in people, we will provide: Want to learn more? If you think you fit the role, our team would be happy to talk to you. Apply today using the link on this page or contact careers@mt.ey.com for further information or questions on the role and recruitment process. We’ll do our best to get back to you as soon as possible. About EY EY is a leading global professional services organisation employing 250,000 people in 150 countries. Join us now and you could grow with us and help us build a better working world. How far you go is up to you. It starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. We value the diversity of our work force and the knowledge of our people. Whenever you join, however long you stay, the EY experience lasts a lifetime.
• Collaborate with clients to understand their business objectives and data analytics requirements
• Perform data extraction, cleaning and transformation to prepare datasets for analysis
• Translate complex analytical findings into strategic recommendations for non-technical audiences
• Create intuitive data visualizations and dashboards for stakeholders to interpret the results
• Meet engagement project expectations defined by project and engagement stakeholders
• Monitor project scope, schedule and the progress of client engagement deliverables
• Identify, communicate and address project risks, assumptions and constraints
• Develop and maintain relationships with stakeholders across other EY functional groups
• Stay abreast of industry trends and advancements in data science and analytics tools
• Identify opportunities to enhance data analytics techniques
• A bachelor’s degree (MQF Level 6) in Data Science, Statistics, Computer Science, Engineering or a related field
• 1+ years of relevant, professional work experience in data and analytics
• Proficiency in data analytics tools and programming languages such as Python, R, SQL and SAS
• Experience with data visualization tools like Tableau, Power BI or similar
• Experience building and applying data analysis techniques and algorithms
• Excellent communication, documentation and presentation skills
• Strong analytic and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment
