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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 group, and clear growth paths.
- Why this job: Make a real impact by turning analysis into actionable recommendations.
- Qualifications: Experience in process analytics, SQL, and operational improvement.
- 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:
- Experience and Skills
- 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
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 employer: Fortice
Contact Detail:
Fortice Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operational Analytics Consultant
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. Be ready to share how your analytical skills have led to real operational improvements in past roles. We want to hear about your impact!
✨Tip Number 3
Showcase your technical skills! Bring examples of your work with process mining tools or SQL to the table. Demonstrating your hands-on experience can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Operational Analytics Consultant
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 process analytics, data-driven problem-solving, and any relevant tools like SQL or process mining software. We want to see how your skills align with what we do!
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Use examples from past experiences where you’ve tackled complex operational problems using data. We love seeing how you’ve made a real impact through your analytical prowess.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that gets straight to the point, showing us your thought process and communication skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our team there, which can help you tailor your application even further!
How to prepare for a job interview at Fortice
✨Know Your Data Tools
Familiarise yourself with process mining tools like Celonis or Signavio, as well as SQL for handling large datasets. Be ready to discuss how you've used these tools in past projects to drive operational improvements.
✨Showcase Problem-Solving Skills
Prepare examples that demonstrate your structured problem-solving approach. Think about specific operational challenges you've tackled and how your analytical insights led to actionable recommendations.
✨Communicate Clearly
Practice presenting your findings in a compelling way. Use visuals and storytelling techniques to convey complex data insights clearly, making sure you can explain how they translate into real-world operational impact.
✨Stay Updated on Trends
Research the latest trends in AI and automation within operational analytics. Be prepared to discuss how emerging technologies can enhance operational performance and share any relevant experiences you've had with these innovations.
