Contract Duration: 3 months
Position Overview:
We are seeking a Market Research Analyst with strong metadata and taxonomy skills to support a strategic knowledge management initiative focused on improving the discoverability, governance, and AI readiness of a large enterprise insights repository. This contractor will review a library of 1,500+ market research and insights reports within Stravito and determine, from the content itself, what each study is: the type of research, the methodology, the audience, and the business question it answered. They will then assess whether the current metadata and taxonomy describe those studies accurately, recommend targeted improvements, and apply them, supporting future AI-powered search, retrieval, and knowledge discovery. This is a highly hands-on role that starts with marketing research expertise.
The ideal candidate can open an unfamiliar report and, without consulting others, recognize whether it is a segmentation study, social listening analysis, in-depth interview (IDI) project, brand tracker, concept test, or something else. They pair that judgment with solid metadata, content auditing, and taxonomy skills to review the current catalog, find where it is wrong or inconsistent, and help fix it. The engagement is expected to last approximately three months (40 hours per week) and is fully remote.
Top 5 Skills Required:
1. Background in market research and customer insights, including working knowledge of both quantitative and qualitative methodologies
2. Experience with metadata, taxonomy, information architecture, content organization, or knowledge management initiatives
3. Content auditing and large-scale tagging, with attention to detail and consistency
4. Ability to work independently and make sound classification calls
5. Strong written and verbal communication skills
Key Responsibilities:
Research Classification & Methodology Recognition
- Read and interpret 1,500+ research reports independently, and identify the type of research and methodology in each (for example, segmentation, social listening, in-depth interviews (IDIs), focus groups, brand health tracking, concept or ad testing, conjoint or pricing research, ethnography, customer experience or voice-of-customer, competitive intelligence, syndicated or secondary research).
- Distinguish quantitative from qualitative work, primary from secondary research, and custom from syndicated studies, using the report content (methodology sections, sample descriptions, questionnaires, and findings) rather than relying on titles or existing tags.
- Capture the marketing context of each study: the business question, target audience or segment, product or brand, geography, time period, and how the findings were meant to be used.
- Spot reports that were mislabeled, vaguely described, or tagged in a way that hides what the research actually is, and correct or flag them.
- Build a clear reference of research types and methodologies, with plain-language definitions and examples, that the tagging approach and AI-generated tags can be checked against.
- Use marketing judgment to assess the relevance, recency, and rigor of studies, informing future content quality and confidence indicators.
