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Consultant / senior consultant - operational analytics

London
Capgemini
Consultant
€70,000 a year
Posted: 20 April
Offer description

Consultant / Senior Consultant - Operational Analytics


Your Role

As a valued Consultant/Senior Consultant in our Operational Analytics team, you will:

* Contribute your expertise in Process mining, Process automation, Commercial Analytics, Asset Analytics, and data-driven consulting alongside mentors and industry experts.
* Work directly with clients to provide industry-leading advice and solutions, leveraging the latest Generative AI and Agentic AI technologies to drive real transformational change.
* Act as a pillar of support for your teammates, fostering a culture of continuous learning and shared growth.
* Leverage new technologies and tools to drive delivery excellence.

Your ideas matter. We are in search of dynamic individuals who possess the vision and energy to drive impactful change for our clients and within our organization. As part of your role, you will have the opportunity to take ownership of projects you feel passionately about in the following areas:

* Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, and client hosting at events.
* Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
* Learning & Development – Training to support your career development and the skills demand within the company, certifications, etc.


Your Profile

You should have a skillset that combines rigorous thinking, creativity and thoughtful leadership.

We'd love to hear from you if you're someone who can confidently:

* Demonstrate personal capability and competence in pursuit of outstanding client delivery.
* Lead a workstream and articulate your vision in a way that motivates and inspires.
* Break down complex business problems, structure solutions and provide data-driven recommendations.
* Translate insights into clear, actionable strategies.
* Present findings in a way that resonates, balancing logic and storytelling.
* Understand process mining, modelling, simulation, and process optimisation.
* Apply data and automation to address business challenges across three key domains: Process Analytics, Asset Analytics and Commercial Analytics.
* Have experience with or awareness of AI tools and technologies (e.g., generative AI, machine learning platforms) and their application in business contexts.


Additional Skills that Provide an Advantage

Process Transformation

* Process Mining: Experience with SQL, Celonis, SAP Signavio, or other process analytics tools; certifications and/or hands‑on expertise preferred.
* Workflow Optimization: AI‑driven automation, machine learning for operations, and graph analytics for complex process interdependencies.
* Real‑Time Command Centres: Knowledge of streaming analytics, IoT integration, and digital twin technologies.
* Network Analysis: Experience with graph‑based analytics, including Cypher and graph algorithms.

Asset Analytics

* Predictive asset performance and reliability.
* Capital infrastructure investment and ROI optimisation.
* Digital twin enablement.

Commercial & Value Chain Analytics

* Value chain profitability and cost‑to‑serve intelligence.
* AI‑driven demand forecasting, pricing and promotion optimisation.
* Supply chain simulation and risk scenario planning.

Consulting Experience

* Current or previous experience in a major consulting firm, or industry experience with a consulting background.
* Proven ability to thrive in a matrixed organisation.
* Experience in proposition development and delivery.


Benefits

* Hybrid working options and a culture that values work‑life integration.
* Structured career progression, leadership programmes and hands‑on mentorship to ensure you become a better consultant on your own terms.
* A team‑oriented environment where collaboration is valued above competition and where success is shared.
* Training to keep our people at the forefront of data innovation.
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