Digital Insights Consultant

We are looking for a Digital Insights / Advisory Services Consultant to join our Advisory Services team. This role will report to the Team Manager, Advisory Services. Our team works with some of the largest enterprise brands and agencies across EMEA, addressing complex digital challenges, from understanding end-to-end consumer journeys to unlocking insights from AI-driven discovery and visibility.

Responsibilities

Partner with the go-to-market team and the AS Team Manager to scope and plan custom advisory projects addressing client pain points using Similarweb's data assets; Take ownership of post-sale delivery, ensuring insights translate into measurable client impact and ongoing value realisation; Translate client business questions into structured data requirements, working closely with data and technical teams to deliver robust outputs and clear, actionable insights on time; Act as a trusted partner to clients throughout the project lifecycle, leading ongoing engagements and adapting analysis to evolving client priorities and business questions; Manage multiple projects simultaneously, navigating various industries, datasets, and client environments in a matrix organisation with different project leads; Identify opportunities to expand scope and assess the feasibility of new advisory opportunities, defining data requirements and methodology with awareness of commercial trade-offs before handoff to go-to-market; Contribute to the development of emerging areas of insight, including AI-driven discovery and LLM visibility, translating new data capabilities into structured client deliverables.

Requirements

Communicates fluently in English at a business level; Has proficiency in digital marketing, e-commerce, or online consumer behaviour; Brings experience in client-facing roles or as a consultant, with a track record of delivering high-quality insights to solve business problems; Can analyse complex datasets and present insights in a clear, structured, and compelling way to stakeholders; Is comfortable managing multiple projects with shifting priorities and ambiguity, with a strong commitment to quality and timelines; Has advanced proficiency in data analysis, Excel and PowerPoint, with strong attention to data rigour, QA processes, and experience working with large and complex datasets; Applies industry knowledge and broader trends to generate meaningful insights and value for specific client business needs; Proactively identifies issues, develops solutions, and creates repeatable processes to address similar challenges — bringing creativity and interest in emerging data methods (e.g., AI-driven insights) to the role; Is comfortable navigating technical ambiguity, assessing feasibility with custom data, aligning teams on methodology, and clearly communicating trade-offs to clients and stakeholders.

Benefits

Competitive perks & benefits; competitive compensation packages; regular team outings and happy hours; Career Week; personalised coaching; ongoing learning solutions