Forbes Media is a global media, branding and technology company, with a focus on news and information about business, investing, technology, entrepreneurship, leadership and affluent lifestyles. The company publishes Forbes, Forbes Asia, and Forbes Europe magazines as well as Forbes.com. The Forbes brand today reaches more than 94 million people worldwide with its business message each month through its magazines and 37 licensed local editions around the globe, Forbes.com, TV, conferences, research, social and mobile platforms. Forbes Media’s brand extensions include conferences, real estate, education, financial services, and technology license agreements.

The Forbes Intelligence Sr Research Analyst helps shape the development of Forbes lists by translating editorial methodologies into clear, defensible data strategies that both support current lists as well as create new initiatives. This role focuses on identifying, sourcing, validating, and managing data used in list production, while ensuring data rights, quality, and reusability across Forbes properties. The Sr Research Analyst is a data and research expert who closely partners with and helps to guide the Editorial & Accolades teams as well as internal stakeholders to ensure methodologies are executed efficiently, defensibly and at scale.

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

The Ideal Candidate

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, with the ability to collaborate effectively and communicate clearly across Editorial, Accolades, and internal stakeholder groups

Strong attention to detail, with the 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, Qualtrics, or similar tools), including the 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, and operate effectively within structured project timelines

Preferred experience in shaping rankings, benchmarks, large research programs, or data-driven content initiatives.