Senior Research Analyst
New
F
ForbesMedia
United StatesFull-TimeSenior
Salary90000 - 100000 USD per year
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Job Details
- Experience
- 4-6 years of experience
- Required Skills
- Artificial IntelligenceData AnalysisResearchData management
Requirements
- 4-6 years of experience in research, analytics, or data strategy
- Strong experience working with structured datasets, surveys, or third-party research sources
- Ability to evaluate and define data quality and align data to defined methodologies
- Comfort working in a fast-moving, cross-functional environment
- Ability to collaborate effectively and communicate clearly across Editorial, Accolades, and internal stakeholder groups
- Strong attention to detail
- Ability to work with complex rankings data and ensure accuracy, consistency, and alignment with defined methodologies
- Experience operating in ambiguous or evolving environments
- Strong communication skills and the ability to explain data decisions clearly to non-technical audiences
- Experience with survey and data collection platforms (e.g., Typeform, Qualtrix, or similar tools)
- Ability to leverage AI and Typeform integrations and evaluate survey design and outputs for data quality and alignment with methodology
- Ability to manage individual workstreams, prioritize across multiple list cycles
- Ability to operate effectively within structured project timelines
- Preferred experience in shaping rankings, benchmarks, large research programs, or data-driven content initiatives
Responsibilities
- Partner with and help guide Editorial and subject matter experts to understand list methodologies and determine data requirements
- Evaluate existing Forbes data assets and data sources, identifying opportunities for reuse across lists and assessing tradeoffs and alignment with defined methodologies
- Recommend and align on appropriate data sourcing approaches, including internal data, surveys, applications, or third-party providers, based on the needs of Editorial, Accolades, and downstream stakeholders to drive greater consistency and standardization across Forbes list methodologies
- Evaluate data quality, sufficiency, and thresholds in partnership with Editorial and Accolades stakeholders to support defensible and repeatable list outcomes
- Contribute to the development and evolution of Forbes’ centralized list database, building on existing data assets and workflows in partnership with Data, Product, and cross-functional stakeholders
- Ensure data is properly permissioned and classified for use across Forbes lists and reports
- Identify opportunities to standardize data sourcing approaches and improve consistency across list methodologies and workflows
- Collaborate with cross-functional teams to keep list development on track and aligned with timelines and budgets
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