Research & Methodology Analyst (Remote)

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

Job summary

A leading financial services organization in the UK is seeking a Research & Methodology Analyst to develop and assure the quality of scoring systems for consumer and small business products. The role emphasizes rigorous data analysis, scoring model enhancement, and quality assurance, collaborating across functions. Ideal candidates hold a relevant Bachelor's degree and have at least 2 years of experience in data analysis methodology. Competitive benefits including 35 days of PTO and remote work options are offered.

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 preferred.
• Experience in integrating data from multiple sources to inform ranking systems or similar decision-making models is preferred.
• Ability to translate complex quantitative data and methodological details into actionable insights.

Responsibilities

• Evaluate quantitative and qualitative data to generate actionable insights that inform product and service rankings.
• Play a central role in the quality assurance process for scoring models.
• Draft, update and refine detailed documentation that explains methodology, scoring logic, and ranking processes.

Skills

Data analysis

Statistical tools

Data visualization

Spreadsheet proficiency

Attention to detail

Education

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

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 researchincluding limited survey administrationthis position emphasizes rigorous data synthesis and scoring model enhancement to drive actionable insights.

Responsibilities

Data Analysis & Ranking Inputs

• 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.

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 & Experience

• 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 programPaid parental leave program

Remote Work

Yes

Employment Type

Full‑time

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.