Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Solve real operational problems using data and analytics to drive meaningful change.
- Company: Join a fast-growing Enterprise Data & Analytics practice focused on transformation.
- Benefits: Access to cutting-edge tools, strong peer support, and clear growth opportunities.
- Why this job: Make a real impact by turning data insights into actionable operational improvements.
- Qualifications: Experience in operational analytics, process mining, and data-driven problem solving.
- Other info: Collaborate with a diverse team of experts in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
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.
Operational Analytics Consultant in London employer: Fortice
Contact Detail:
Fortice Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operational Analytics Consultant in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Operational Analytics Consultant role.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. You’ll want to showcase how your analytical prowess has led to real operational improvements. We suggest using the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest. It shows you’re keen and professional, which we all love to see.
✨Tip Number 4
Keep an eye on our website for new opportunities! We regularly post roles that might be perfect for you. Plus, applying directly through our site can give you a better chance of getting noticed by the hiring team.
We think you need these skills to ace Operational Analytics Consultant in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Operational Analytics Consultant role. Highlight your experience with data-driven problem-solving and any relevant tools you've used, like SQL or process mining software.
Showcase Your Analytical Skills: We want to see how you approach complex operational problems. Include examples of past projects where you’ve used analytics to drive improvements, and don’t forget to mention any specific methodologies you’re familiar with!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. Remember, we’re looking for actionable insights, so make sure your recommendations are easy to understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Fortice
✨Know Your Data Tools
Familiarise yourself with the process mining tools mentioned in the job description, like Celonis or Signavio. Be ready to discuss how you've used these tools in past projects and how they can help solve operational problems.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical depth by discussing specific examples where you've applied SQL or worked with large datasets. Highlight how your insights led to measurable improvements in operations.
✨Master the Art of Storytelling
Practice presenting your findings in a compelling way. Use visuals and clear narratives to explain complex data insights, making sure you can translate technical jargon into actionable recommendations for stakeholders.
✨Stay Ahead of the Curve
Research the latest trends in AI and automation relevant to operational analytics. Be prepared to discuss how emerging technologies can be leveraged to enhance operational performance and drive change.
