Data Research Analysis Manager (Remote)

At 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.

We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.

Job Description

We are seeking a Data Research Analysis Manager to join our team and assist our editorial team in creating top-quality content. In this role, you will lead a team that provides competitive analysis on the market and ensures the quality and accuracy of data collection and analysis for various subjects. Your team’s research and analysis will be a key component of making trustworthy, relevant assessments of products and services, and will help thousands of consumers make informed decisions related to their financial planning, insurance and entrepreneurial needs.

If you are looking for a challenging and exciting opportunity similar to those found at a start-up, with the benefits of a seasoned and successful company, then this may be the role for you.

Analytical Leadership

• Own the analytical frameworks and methodology implementation across including financial services, insurance, SaaS, home services
• Contribute to and evolve scoring models, weighting logic, and evaluation criteria used in best-of lists and comparative analyses
• Design and evolve scoring models, weighting logic, and evaluation criteria used in best-of lists and comparative analyses
• Line manage and mentor analyst with a focus on analytical development
• Support analysts in tackling complex questions and ambiguity in datasets
• Encourage critical thinking, challenge assumptions and foster a culture of excellent

Technical Skills:

• Perform and review complex analysis using SQL, Python, and BI tools
• Guide analysts on best practices in data modelling, transformation and visualisation
• Improve data pipelines, tooling and workflows
• Champion documentation of logic, assumptions and limitations

Research Quality:

• Define and enforce quality standards for data collection, validation, and analysis
• Review research outputs for methodological soundness, bias, and edge cases
• Lead continuous improvement of research processes, with a focus on automation, scalability, and accuracy

About You:

• Highly analytical, with a strong instinct for questioning data quality and methodology
• Comfortable working hands-on with complex datasets
• Able to explain technical concepts clearly to non-technical stakeholders
• Naturally curious, with a strong sense of ownership over research quality
• Confident operating in an evolving environment where not all problems are fully defined

Qualifications and Skills

• Degree in a relevant field, such as Economics, Statistics, Business, or equivalent training and experience
• Experience in data or content research in the publishing industry, particularly on B2B or Financial topics
• Advanced proficiency in using Excel for data analysis and manipulation
• Proficiency in SQL and/or Python for data manipulation
• Proficiency in data visualization tools, particularly Tableau
• Experience designing scoring models, ranking or comparative frameworks is a plus

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

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.