> Markdown version of [/jobs/ext/3056672-insights-lead](https://www.wearedevelopers.com/jobs/ext/3056672-insights-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Insights Lead - **Company:** Yahoo - **Location:** Omaha, NE, United States - **Experience:** Expert - **Salary:** $90,750.0 - $188,750.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Engineering, Data Integrity, Data Mining, Data Visualization, Python (Programming Language), Power BI, Software Tools, SQL Databases, Tableau (Software), Qualtrics, Large Language Models, Looker Analytics - **Published:** September 24, 2026 - **Apply:** https://www.jofdav.com/jobs/59839024-insights-lead ## About the Role A strong analytical background, communication and problem-solving skills, plus a solid understanding of digital advertising are essential., * Bachelor's degree or equivalent practical experience. * 8+ years of experience in consumer insights, media analytics, or market research with strong customer-facing, consultative expertise within the digital advertising, media publisher, or agency ecosystem. * Demonstrated track record leading consultative research initiatives that directly support enterprise sales, client growth, or brand marketing strategies. * Hands-on experience using generative AI platforms and structured prompting to accelerate qualitative and quantitative research synthesis, report summarization, or workflow automation. * Strong proficiency with digital advertising measurement frameworks, audience segmentation, and syndicated market research tools (e.g., Comscore, MRI-Simmons, GWI, or similar). Preferred Qualifications: * Experience with SQL or other data extraction languages and tools (e.g., R, Python). * Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI). * Demonstrated proficiency using AI tools (e.g., Claude, NotebookLM) to accelerate analysis, synthesize research, and develop sales-facing tools and interfaces. * Proficiency in syndicated research tools (e.g. Comscore, MRI, Simmons, GWI, etc.). * A solid combination of analytical and communication skills, with a keen attention to detail and a strong commitment to ensuring data accuracy. * Deep experience designing primary research studies, survey instruments (e.g., Qualtrics), and managing third-party research vendor partnerships. * Proven ability to operate autonomously in ambiguous, high-growth environments, with a strong focus on continuous learning, workflow innovation, and data integrity. #LI-KS2 The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies ; exercising sound judgment ; working effectively, safely and inclusively with others ; exhibiting trustworthiness and meeting expectations ; and safeguarding business operations and brand integrity. ## Description * Partner with stakeholders in Ad Sales and Go-to-Market Strategy teams to gather insights needs about industries, audiences and media consumption trends, that inform sales narratives and client pitches. * Select and apply appropriate data collection methods leveraging a combination of quantitative methodologies: data mining, analytics, and primary or secondary research. * Formulate and execute quantitative and qualitative research methodologies, identify consumer trends by mining Yahoo first-party data; leverage syndicated intelligence tools (Comscore, MRI-Simmons, GWI) for audience sizing and consumer profiling. * Identify and implement AI-assisted workflows (utilizing LLMs such as Claude and NotebookLM) to rapidly analyze, summarize, and cross-reference multi-source industry research, cutting narrative turnaround time while elevating narrative depth. * Architect and validate repeatable, AI-augmented analytical templates and self-serve resources that equip sales teams to answer complex vertical questions independently. * Collaborate with internal Business Intelligence and Data Engineering teams to define requirements for automated reporting pipelines, client dashboards, and advanced attribution tools. * Translate complex data and consumer behavioral shifts into visually compelling executive presentations, collateral, and external-facing industry case studies.