Senior Insight analyst, Verve

• Relevant Industry Experience: 2-4 years of professional experience in an insights, strategy, analytics, or consumer research role, ideally within a media agency, adtech, publisher, or in-house marketing / consumer insights team
• Ad Industry & Measurement Knowledge: Strong understanding of the digital advertising ecosystem, media landscape and campaign measurement fundamentals: including performance KPIs, brand lift, testing approaches and how to evaluate marketing effectiveness
• Data Storytelling: Ability to turn raw, complex data into compelling and commercially relevant stories that lead to action. You know how to build a presentation with a strong
• Narrative, not just a collection of charts
• Client-Facing Communication: Outstanding verbal and written communication skills, with the confidence to convey information empathetically and decisively
• Analytical Mindset: A thoughtful, problem-solving mindset with genuine curiosity about people, markets and uncovering the behaviours driving the data
• Technical Foundation: AI: A forward-looking approach to AI within an enterprise environment. The right candidate can demonstrate the effectiveness of AI as a working delivery partner; not just a chatbot
• Data Analysis: Strong quantitative skills with the ability to identify meaningful patterns and trends, spot anomalies and errors, and connect concise findings to meaningful business outcomes
• SQL: Foundational knowledge of SQL is highly desired to support ideation and code debugging

Desirable

• The Insight Analyst helps turn consumer intent data spanning search, AI and beyond into clear, commercially relevant stories that inform marketing strategy and demonstrate media impact
• This is a client-facing role for someone with a strong foundation in AI and analytics, a talent for storytelling, and a genuine curiosity about consumer behaviour, what drives effectiveness, and the “why” behind the numbers
• They will support and own insight projects from end to end, partnering with internal stakeholders across commercial, product, marketing and customer success teams, using the latest AI capabilities alongside established SQL & Python approaches to deliver actionable recommendations
• Turn Data into Clear, Compelling Stories: Translate search, LLM, audience and campaign data into persuasive, insight-led narratives for clients and internal teams. Your
• Work will help shape marketing strategy, strengthen recommendations and create compelling narratives that connect clearly to action
• Evaluate Marketing Performance and Impact: Analyse digital media campaign effectiveness with a focus on ‘why’, not just ‘what’. Deliver action-oriented recommendations that help clients optimize strategy, improve performance and understand the value of their media investment
• Be a Trusted Partner: Serve as a point of contact for internal stakeholders and external clients, helping them understand performance, insight-led opportunities, and the context
• Behind the numbers. Bring confidence, curiosity and commercial awareness to business questions and recommendations
• Support Insight Projects from Brief to Delivery: Contribute across the full project lifecycle, from interpreting briefs and shaping hypotheses to exploring data, developing the story and delivering polished outputs for clients and commercial teams
• Advance Innovation: an entrepreneurial mindset is essential as we leverage frontier AI capabilities to drive insight innovation and operational efficiency across the business