frog - Customer Data Analytics - Senior Consultant Join to apply for the frog - Customer Data Analytics - Senior Consultant role at Consultancy.uk. Why Join frog? Since June 2021, frog is part of Capgemini Invent. Frog partners with customer‑centric enterprises to drive sustainable growth, building and orchestrating experiences at scale while harnessing the power of data and technology. We’re inventing the future of customer experiences by delivering market‑defining business models, products, services, brand engagements and communications. Firm Capgemini Invent Location London Benefits Competitive Functional areas Data Science An Overview Of The Role We are seeking a skilled Senior Consultant with hands‑on experience helping organisations deliver value within customer, marketing or commercial domains through data and insights. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For

CX Data & Insights SME – Hands‑on experience working with data within behaviour analytics, marketing, CRM, commercial, web, CDPs or product analytics with core focus in customer experience. Familiar with a range of 1st, 2nd and 3rd party data sources – including transactional/EPOS, digital, retailer, social, loyalty etc. Delivery Excellence – Experience developing and implementing insight solutions, MarTech / data‑driven CX solutions or ML/AL solutions. Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production‑grade solutions. Data Visualisation Experience – Utilise visualisation tools such as Power BI or Tableau to present data insights effectively. Cloud expertise – Knowledge of cloud platforms (e.g. AWS, GCP, Azure) and tools for data analytics or data science, and experience with data modelling and data management. Collaborative team player – Collaborate with cross‑functional teams to understand business challenges and create valuable products/solutions. Excellent Communicator – Strong written communication, presentation and data‑driven storytelling skills, with the ability to communicate complex ideas clearly to stakeholders. Innovative Mind – A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space.

It Would Be a Bonus If You Have

Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector). Familiarity with Agentic AI. Client delivery experience (for either internal or external customers). Familiarity with data analytics tools or programming languages (such as Python, SQL or R). Familiarity with ethical considerations and best practices in data analytics, AI and data science. People Manager – People management skills, including mentoring, guiding, and developing junior team members.

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