Research & Methodology Analyst (Remote)

The 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 researchincluding limited survey administrationthis position emphasizes rigorous data synthesis and scoring model enhancement to drive actionable insights. Responsibilities:Data Analysis & Ranking InputsCollaborate 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 EnhancementPlay 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 ImprovementEngage 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 & Experience: Bachelors degree in Computer Science Mathematics Statistics or a related field preferredMinimum of 2 years experience in data analysis methodology development or quality assurance preferred.Experience 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 requirement.Experience working as part of a multidisciplinary team.Ability to translate complex quantitative data and methodological details into actionable insights.Technical Skills:Competence in data visualization and creating comprehensive analytical reports Proficiency with spreedsheets (Excel/Sheets) including pivots lookups array formulas; comfort auditing large messy datasets A strong analytical mindset with meticulous attention to detail  Benefits: Competitive salaryMedical dental and vision coverage 35 Days of PTO (Including Bank Holidays)Every third Friday of the month offDisability coverage Employee assistance program Paid parental leave program Additional Information : Forbes 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.#LI-REMOTE #LI-NM1Remote Work : YesEmployment Type : Full-time Key Skills Spss,Data Collection,R,Stata,Research Experience,Statistical Software,Data Mining,Calculus,Market Research,Operations Research,SAS,Data Analysis Skills Experience: years Vacancy: 1