Consultant, Analytics & AI, EY-Parthenon

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 analyse large and complex datasets from multiple sources to support client objectives.
• Develop reports, dashboards, visualisations and analytical models that help clients understand business performance and identify opportunities for improvement.
• Design and implement analytical solutions, including data pipelines, visualisations 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 visualisation 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.

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 visualisation 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 modelling.
• AI-enabled analytics and automation solutions.

 

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 rigour 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.