EY
Consultant, Analytics & AI, EY-Parthenon
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At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
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EY-Parthenon is seeking a motivated Consultant to join its Analytics & AI practice, supporting clients to unlock value from data through analytics, reporting, AI, and data-driven insights.
This role is ideal for an individual with a strong commercial and technical mindset who enjoys solving business problems using data and is looking to develop both consulting and technical expertise. Consultants work across a variety of strategic, pre-deal, and post-deal engagements, helping clients make informed business decisions by transforming complex data into actionable insights.
Working alongside experienced consultants, managers, and senior leaders, you will design and deliver high-quality analytics solutions, develop meaningful business insights, and communicate findings confidently to both technical and non-technical stakeholders.
Key Responsibilities
Client Delivery
- Support the delivery of analytics and data-led engagements across a range of industries and business challenges throughout the project lifecycle, including requirements gathering, data collection, solution design, development, testing, implementation, documentation, and user training.
- Collect, clean, structure, and analyze large and complex datasets from multiple sources to support client objectives.
- Develop reports, dashboards, visualizations, and analytical models that help clients understand business performance and identify opportunities for improvement.
- Design and implement analytical solutions, including data pipelines, visualizations, and proof-of-concepts, to address complex business challenges.
- Work directly with clients and EY specialist teams to develop high-quality deliverables, including dashboards, reports, presentations, and other analytical outputs.
- Apply structured problem-solving techniques to translate business challenges into data-driven insights and practical recommendations.
- Collaborate with engagement teams to deliver high-quality outputs within agreed timelines.
- Proactively escalate issues to engagement leadership where appropriate.
Analytics & AI Solutions
- Support the development of analytics and AI solutions using appropriate tools, technologies, and methodologies.
- Support design and build data models, analytical solutions, and visualization dashboards to generate insights from large and diverse datasets with minimal supervision.
- Work with structured and unstructured data to identify trends, patterns, and key findings.
- Build scalable, reliable, and fit-for-purpose data models, datasets, and reporting solutions.
- Conduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliable.
- Contribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning, and AI capabilities.
- Support the implementation of advanced analytical and AI-driven solutions where appropriate.
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Stakeholder Engagement
- Communicate analytical findings clearly and effectively to technical and non-technical audiences.
- Explain complex technical concepts and analytical approaches in clear, practical terms to help clients understand how business challenges are being addressed.
- Participate in client meetings, workshops, and working sessions.
- Build strong working relationships with clients, colleagues, and wider EY teams.
- Manage stakeholder expectations regarding deliverables, timelines, and project outcomes.
- Continuously seek feedback and identify opportunities to improve deliverable quality and client service.
Team & Personal Development
- Take ownership of assigned tasks and parts of workstreams, delivering high-quality outputs with appropriate supervision and guidance.
- Collaborate effectively with colleagues across different grades and service lines.
- Support and mentor junior team members where appropriate.
- Take ownership of personal development and continuously build technical and consulting skills.
- Stay informed on developments in analytics, AI, data management, and emerging technologies.
Skills & Experience
Core Experience
- Typically 3–5 years' experience in data analytics, data engineering, data science, or a related field.
- Experience applying data and analytics to solve business problems in financial, operational, or commercial environments.
- Experience gained within consulting, professional services, finance, FP&A, transaction services, or analytics-focused teams is highly desirable.
Analytical & Consulting Skills
- Strong analytical and problem-solving capabilities.
- Ability to structure ambiguous business problems and develop data-driven recommendations.
- Ability to draw clear business insights from complex datasets.
- Experience working with large datasets to identify trends, patterns, and anomalies.
- Strong attention to detail and commitment to delivering high-quality outputs.
- Excellent verbal and written communication skills.
- Ability to communicate effectively with both business and technical stakeholders.
Technical Skills
- We value individuals who can learn quickly and apply the right approach to solve business challenges.
- Experience in the following areas is desirable:
- SQL and Python or R.
- Building and maintaining data pipelines and analytical workflows.
- Power BI, Tableau, or other data visualization platforms.
- Cloud-based platforms such as Microsoft Azure, AWS, or Google Cloud.
- Experience in some of the following areas would also be beneficial:
- Generative AI and machine learning concepts and applications.
- Structured and unstructured data management.
- Statistical analysis and predictive modeling.
- AI-enabled analytics and automation solutions.
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Personal Attributes
- Curious, proactive, and eager to learn.
- Strong commercial awareness and problem-solving mindset.
- Comfortable working in dynamic and fast-paced environments.
- Highly collaborative and team-oriented.
- Adaptable and open to new technologies and ways of working.
- Demonstrates ownership, accountability, and a strong work ethic.
- Passionate about helping clients solve complex business problems through data and technology.
Qualifications
- Degree in a numerate discipline such as Computer Science, Mathematics, Engineering, Data Analytics, Statistics, Economics, Business Analytics, or equivalent practical experience.
Ideally, You'll Also Have
- Experience developing client-facing dashboards and business reporting solutions from granular datasets.
- Understanding of financial, operational, and commercial performance metrics.
- Exposure to transaction services, due diligence analytics, or performance improvement engagements.
- Interest in emerging AI technologies and their application in solving business challenges.
- Experience working within cross-functional teams and managing multiple stakeholders.
What We Look For
- Individuals who are passionate about using data and AI to solve critical business problems.
- Strong communicators who can bridge the gap between business stakeholders and technical teams.
- Professionals who combine analytical rigor with commercial thinking.
- Team players who thrive in collaborative environments and contribute positively to team culture.
- Individuals who are adaptable and excited by the rapidly evolving analytics and AI landscape.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society, and the planet, while building trust in capital markets.
Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network, and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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