Research Analyst, Data & Intelligence… at The Information · San…

Summary: The Information is a proprietary news and intelligence platform trusted by over one million technology and finance leaders. They are seeking a sharp, curious analyst to help turn raw editorial intelligence into structured, sellable data by extracting, structuring, and enriching proprietary data that powers their intelligence products. Responsibilities: - Extract and structure intelligence from editorial reporting, surveys, and proprietary datasets into clean, consistent formats (company profiles, deal timelines, executive moves, sector benchmarks) - Build and maintain taxonomies, tagging systems, and data schemas that make our intelligence searchable and usable at scale - Enrich and validate proprietary data — cross-referencing our reporting against public filings, funding databases, and industry sources - Help develop new intelligence offerings with survey data from our network of senior tech and finance leaders, identifying trends and signals that feed into intelligence products. By month four you will have launched a new recurring data feed for enterprise clients - Work closely with reporters and editors to identify which stories and datasets have the highest commercial value and ensure data quality - Support product development by preparing datasets, building prototypes (dashboards, reports, data feeds), and helping define what buyers actually need Required Qualifications: - 1–3 years of experience in a research, data, or analyst role — at a data/intelligence company, consulting firm, investment firm, media research team, or similar environment. Internships count if the work was substantive - Strong data skills. You're comfortable working with messy, semi-structured data and turning it into something clean and usable. Proficiency in Excel is a given; experience with SQL, Python, or similar tools is a plus - Fluency with AI and LLM tools. You use ChatGPT, Claude, or similar tools as part of your daily workflow — for research, data extraction, summarization, or prototyping. You have good instincts for where AI accelerates the work and where human judgment is essential - Research rigor. You know how to find, verify, and contextualize information. You care about accuracy and can tell when something doesn't add up - Familiarity with the tech and business landscape. You follow the industry — you know the difference between a Series B and a growth round, you can name the major players in enterprise AI, and you understand why proprietary intelligence about private companies is valuable - Clear communication. You can write a concise summary, explain a dataset to a non-technical stakeholder, and flag issues without being asked - Builder mentality. You want to be early at something, not plugged into an existing machine. You're comfortable with ambiguity and motivated by the prospect of shaping a new product from the ground up Required Skills: Data analysis, Excel, SQL, Python, AI, LLM tools, Data extraction, Data structuring, Taxonomy building, Data validation, Survey data analysis, Tech, business landscape knowledge, Research rigor, Builder mentality Benefits: Company-paid medical, dental, and vision coverage for employees and their dependents, Medical coverage that includes fertility care and $0 copays for in-office mental health visits with in-network providers, Paid parental leave to support and empower new parents, Generous paid time off (PTO) that increases with tenure, 401(k) plan with employer matching contributions, Flexible Spending Accounts (FSAs) for healthcare and dependent care expenses, Fitness and wellness stipend to encourage a healthy lifestyle, Monthly cell phone reimbursement, Company-sponsored lunches in the office every Monday, Commuter benefits, A supportive, inclusive, and diverse work environment with a zero-tolerance policy for harassment