Operational Analytics Consultant

If you’re motivated by solving real operational problems with data, and want your analysis to lead directly to meaningful change, this role puts you right at the centre of that action.

This is an opportunity to join a large, fast-growing Enterprise Data & Analytics practice focused on using data, analytics and intelligent automation to transform how complex organisations run their operations.

As an Operational Analytics Consultant, you’ll work at the intersection of process, data and technology, helping clients understand how their operations really perform and where data-led interventions can unlock measurable improvements. You’ll combine structured problem-solving with advanced analytics to drive smarter, faster and more resilient ways of working.

You’ll be involved in projects that span:

• Process analytics & mining – uncovering inefficiencies, bottlenecks and variation in real operational data
• Operational performance improvement – using data to redesign workflows, optimise resources and improve outcomes
• Automation & AI enablement – identifying and shaping opportunities for intelligent automation, machine learning and emerging AI tools
• Asset & operational reliability analytics – improving performance, maintenance and investment decisions through predictive insight
• Commercial and value chain analytics – enhancing cost-to-serve, demand forecasting, pricing and supply chain decision-making

You’ll work closely with clients, technologists and strategists to turn analysis into practical, implementable change. Not just dashboards, but real operational impact.

What You’ll Be Doing

• Structuring complex operational problems and breaking them into data-driven workstreams
• Working with large, messy operational datasets to generate insight and evidence
• Applying techniques such as process mining, modelling, simulation and optimisation
• Translating analytical findings into clear, actionable recommendations for operational and business stakeholders
• Supporting or leading workstreams, managing tasks and contributing to high-quality delivery
• Presenting findings in a compelling way, blending logic, visuals and storytelling
• Contributing to the development of new propositions, tools and methodologies in operational analytics
• Staying at the forefront of emerging capabilities, particularly in AI, automation and advanced analytics

You’re likely to bring a mix of analytical depth, operational curiosity and consulting-style problem solving, in addition to technical / domain experience in some of the following:

Process & Operational Analytics

• Process mining tools (e.g. Celonis, Signavio or similar)
• SQL and working with large operational datasets
• Process modelling, simulation or optimisation
• Workflow analysis and performance improvement

Automation & Advanced Analytics

• Applying automation or AI to operational use cases
• Machine learning or predictive analytics in an operational context
• Understanding of how data platforms and analytics tools fit into enterprise environments

Asset & Operational Performance

• Predictive maintenance or reliability analytics
• Asset performance, capital investment or lifecycle optimisation
• Digital twins or IoT-enabled operational insight

Commercial & Value Chain Analytics

• Cost-to-serve or profitability analytics
• Demand forecasting, pricing or promotion optimisation
• Supply chain modelling or scenario planning

Experience in a consulting environment, or in an industry role with a strong focus on data-driven operational improvement, will be highly valuable.

Why This Team?

You’ll be joining a 300-strong Enterprise Data & Analytics community that combines deep technical expertise with real operational and industry experience.

What makes this opportunity stand out:

• Scale with specialism – large enough to offer diverse projects, tools and career paths, but focused specifically on data and analytics transformation
• End-to-end impact – from diagnosing operational issues with data, through to shaping and delivering technology-enabled change
• Serious investment in analytics and AI – access to cutting-edge tools, methods and learning in areas like process mining, automation and generative AI
• Strong peer group – working alongside data scientists, engineers, process experts and strategists in multidisciplinary teams
• Clear growth path – opportunities to deepen technical expertise, step into leadership roles, or broaden into wider data and transformation domains

Interested? Apply now and we'll be in touch to discuss further.