Senior Insight analyst
Job description
About the role
This position turns consumer intent data into strategic narratives that guide marketing choices and measure media impact. The role combines client interaction with analytical depth to connect search and AI signals to business outcomes. You will translate evolving search and AI landscapes into clear guidance that shapes how clients invest in media. The work sits at the intersection of data rigor and business storytelling, ensuring insight drives measurable value. You will act as a trusted advisor, using curiosity and structured thinking to uncover what influences performance. The position expects you to own the narrative from data exploration to polished client delivery. Continuous improvement of how insights are shared and used is a core part of the ownership.
Key facts
What you'll do
Search, AI, and audience data become clear, client-ready narratives that shape marketing strategy and recommendations.
You will evaluate digital media campaign effectiveness to explain why performance occurs and how value can improve.
You will provide confident, curious, and commercially aware guidance to internal and external stakeholders on performance and insight opportunities.
Insight projects move from brief to delivery, covering hypothesis shaping, data exploration, story development, and polished client outputs.
You will interpret complex data sets, identifying trends, anomalies, and errors while linking concise findings to meaningful business outcomes.
You will build structured narratives and presentations that translate quantitative signals into compelling, action-oriented decisions.
Outspoken verbal and written communication will convey information clearly and empathetically to clients and internal partners.
A problem-solving mindset connects people, markets, and behaviors to data patterns, revealing what drives observed results.
You will demonstrate an enterprise-focused approach to AI, using it as a practical delivery partner rather than treating it as a chatbot.
You will support the translation of business questions into analytical plans, enabling collaboration across teams.
Foundational SQL knowledge supports ideation and debugging, enabling collaboration with technical teams on insight pipelines.
Coding interest in Python and advanced SQL helps automate workflows and support innovation in insight production.
Experience with Databricks or similar cloud data platforms aids efficient insight workflows and scalability.
Curiosity about building smarter tools applies AI to research processes, measurement, and storytelling in media and marketing.
Strong interpersonal skills and adaptability suit fast-moving, client-centric environments where requirements evolve.
Requirements
The posting states a bachelor's degree requirement for this position.
Professional experience must span 15+ years total, with 4+ years in relevant roles within insights, strategy, analytics, or consumer research.
Your background should include media, adtech, or marketing environments where digital advertising and campaign measurement are central.
You must understand performance KPIs and brand lift evaluation to assess marketing effectiveness accurately.
Complex data must be translated into compelling, action-oriented stories that drive decisions with structured narrative and presentation skills.
You must communicate verbally and in writing with clarity, confidence, and empathy toward clients and internal stakeholders.
A problem-solving mindset must connect people, markets, and behaviors to data patterns to explain what drives observed results.
An enterprise-focused approach to AI must be demonstrated, using AI as a practical delivery partner rather than treating it as a chatbot.
Quantitative skills must uncover trends, anomalies, and errors, linking concise findings to meaningful business outcomes.
Foundational SQL knowledge is required to support ideation and debugging, enabling collaboration with technical teams.
Nice to have
Coding interest in Python and advanced SQL helps automate workflows and support innovation in insight delivery.
Experience with Databricks or similar cloud data platforms aids efficient insight workflows and scalable analysis.
Curiosity about building smarter tools applies AI to research processes, measurement, and storytelling in media and marketing.
Strong interpersonal skills and adaptability suit fast-moving, client-centric environments.
Practical notes
The role is client-facing and requires comfort with business questions, recommendations, and stakeholder engagement.
Confidentiality and equal opportunity apply, with specific rights outlined for California and EU/UK residents.
Typical interview steps for this position include a SQL or spreadsheet exercise, a case question, and behavioral rounds. Candidates may be asked to analyze a dataset, define a metric, or estimate an outcome. Presenting findings clearly is tested as often as the analysis itself. Interviewers often test speed and clarity with a timed exercise, focusing on how you explain what the numbers mean, not just what they are.