Lead - Data Analytics

Job Description

Job Description We are looking for a technical, highly motivated and dynamic IT Product Information & Lead Research Analyst to play a key role in our growing team. This hands-on position is ideal for a self-starter who enjoys research, data curation, and taxonomy design, with a unique opportunity to transition into a leadership role as the team expands. The team is responsible for building and maintaining a comprehensive, accurate, and curated product catalog of all software and hardware technology products sold and deployed globally. The Lead Product Research Analyst will be responsible for: Lead and coach a team of research analysts working on technology data mining and curation. Conduct research on technology data/content about software and hardware products, including vendors, manufacturers, product suites, lifecycle data Collect, analyze, and curate information to enrich our technology catalog, ensuring accuracy and consistency Oversee the maintenance of a technology data catalog, ensuring comprehensive and up-to-date content Design and manage taxonomies for software and hardware products. Develop and enforce rules for normalizing and mapping data between source systems Define and implement end-to-end research workflows, including methodologies, training programs, and quality control measures. Respond to customer and internal requests to enrich catalog content and resolve content-related issues promptly. Act as the subject matter expert (SME) on technology data, working directly with customers and partners to address data-related issues and enhancement requests. Collaborate with internal stakeholders, including engineers and product teams, to translate business requirements into new data offerings and features. Qualifications Bachelor s degree in computer science, engineering, data management or related field Experience with Master Data Management or Product Information Management platforms Proficiency in writing regular expressions (Regex) - required Familiarity with database tools, data entry systems, and processes. In-depth, subject matter expertise-level understanding of how software is named, titled, and released by commercial and open-source teams, including EOL and vulnerability disclosures. Strong background in researching and managing technical content, with an eye for detail. Ability to identify gaps in data and develop proactive plans to close them. Experience in designing and managing taxonomies for technical products.