Research & Methodology Analyst (Remote)

Company DescriptionAt Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.Job DescriptionThe Research & Methodology Analyst will play a key role in developing, maintaining, and assuring the quality of our scoring systems that assess and rank consumer and small business products and services. The primary focus of this role is on data analysis, methodology documentation, and quality assurance of ranking models. While there is a supportive aspect of user experience research—including limited survey administration—this position emphasizes rigorous data synthesis and scoring model enhancement to drive actionable insights.ResponsibilitiesData Analysis & Ranking Inputs Collaborate with SEO, Editorial, and Data teams to collect, organize, and analyze inputs that feed into our ranking systemsEvaluate quantitative and qualitative data to generate actionable insights that inform our product and service rankings.Utilize statistical tools and data visualization techniques to effectively communicate findings and support decision-making.Scoring Model Quality Assurance & Methodology Enhancement Play a central role in the quality assurance process for scoring models, ensuring that ranking outputs accurately reflect consumer and market data.Identify discrepancies and recommend improvements to scoring algorithms and overall ranking logic.Test and validate updates to models and methodologies prior to implementation to maintain consistency and accuracy.Documentation & Process Refinement Draft, update, and refine detailed documentation that explains methodology, scoring logic, and ranking processes.Develop clear, user‑friendly guides and reports that translate complex data insights into practical recommendations.Continuously evaluate and refine internal processes to enhance efficiency in data analysis and ranking model performance.Cross‑functional Collaboration & Continuous Improvement Engage with various internal teams to integrate new data sources and market trends into our assessment models.Keep abreast of industry trends in methodology and data analytics to drive continuous improvement in our ranking approaches.Provide periodic updates and presentations to internal stakeholders outlining key insights and methodological adjustments.Qualifications & ExperienceBachelor’s degree in Computer Science, Mathematics, Statistics, or a related field preferredMinimum of 2 years’ experience in data analysis, methodology development, or quality assurance preferredExperience in integrating data from multiple sources to inform ranking systems or similar decision‑making models is preferredPrior exposure to user research is beneficial but not a primary requirementExperience working as part of a multidisciplinary teamAbility to translate complex quantitative data and methodological details into actionable insightsTechnical SkillsCompetence in data visualization and creating comprehensive analytical reportsProficiency with spreadsheets (Excel/Sheets) including pivots, lookups, array formulas; comfort auditing large, messy datasetsA strong analytical mindset with meticulous attention to detailBenefitsCompetitive salaryMedical, dental and vision coverage35 Days of PTO (Including Bank Holidays)Every third Friday of the month offDisability coverageEmployee assistance programPaid parental leave programEqual Employment OpportunityForbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #J-18808-Ljbffr