Research & Methodology Analyst (Remote)

Forbes Advisor; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading financial advisory firm is seeking a Research & Methodology Analyst to enhance its scoring systems for consumer and small business products. The role emphasizes data analysis and quality assurance to drive actionable insights. The ideal candidate should have at least 2 years of experience in data analysis and hold a relevant bachelor’s degree. This position offers competitive salary, comprehensive benefits, and a collaborative work environment focused on continuous improvement and innovation.

Benefits

Competitive salary

Medical, dental and vision coverage

35 Days of PTO (Including Bank Holidays)

Every third Friday of the month off

Disability coverage

Employee assistance program

Paid parental leave program

Qualifications

• Minimum of 2 years' experience in data analysis, methodology development, or quality assurance.
• Experience in integrating data from multiple sources.
• Ability to translate complex quantitative data into actionable insights.

Responsibilities

• Collaborate with SEO, Editorial, and Data teams to enhance ranking systems.
• Evaluate quantitative and qualitative data to inform rankings.
• Draft and update comprehensive methodology and scoring documentation.

Skills

Data analysis

Quality assurance

Data visualization

Statistical tools

Collaboration with teams

Education

Bachelor's degree in Computer Science, Mathematics, Statistics or related field

Tools

Excel

Job description

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 research-including limited survey administration-this position emphasizes rigorous data synthesis and scoring model enhancement to drive actionable insights.

Responsibilities

• Collaborate with SEO, Editorial, and Data teams to collect, organize, and inputs that feed into our ranking systems.
• Evaluate 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.
• 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.
• 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.
• 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

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field preferred.
• Minimum 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 preferred.
• Prior 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 spreadsheets (Excel/Sheets) including pivots, lookups, array formulas; comfort auditing large, messy datasets.
• A strong analytical mindset with meticulous attention to detail.

Benefits

• Competitive salary.
• Medical, dental and vision coverage.
• 35 Days of PTO (Including Bank Holidays).
• Every third Friday of the month off.
• Disability coverage.
• Employee assistance program.
• Paid parental leave program.

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