At a Glance
- Tasks: Lead a team in data analysis to create top-quality content for informed consumer decisions.
- Company: Forbes Advisor, a trusted source for financial advice and guidance.
- Benefits: Competitive salary, 35 days PTO, remote work, and comprehensive health coverage.
- Other info: Enjoy a start-up vibe with the stability of an established company.
- Why this job: Join a dynamic team and make a real impact on consumer financial planning.
- Qualifications: Degree in relevant field and experience in data research, especially in publishing.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 excellence
- 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
- 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
- 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
- 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
- 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
Data Research Analysis Manager in London employer: Forbes Advisor
Forbes Advisor is an exceptional employer that fosters a dynamic and inclusive work culture, offering remote flexibility that empowers employees to balance their professional and personal lives. With a strong commitment to employee growth, the company provides extensive benefits including competitive salaries, comprehensive health coverage, and generous PTO, ensuring that team members are well-supported in their roles. Joining Forbes Advisor means being part of a collaborative team dedicated to making a meaningful impact on consumers' financial decisions, all while enjoying the advantages of a seasoned organisation with the innovative spirit of a start-up.
StudySmarter Expert Advice🤫
We think this is how you could land Data Research Analysis Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with current employees at Forbes Advisor. A friendly chat can sometimes lead to insider info about job openings or even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytical prowess and data-driven decision-making. This is your chance to demonstrate how you can contribute to the team’s mission of helping consumers make informed choices.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. Think about how you've tackled complex datasets or improved research processes in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Forbes Advisor team. Let’s get you on board!
We think you need these skills to ace Data Research Analysis Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Research Analysis Manager role. Highlight your analytical skills and experience with data tools like SQL and Python, as well as any relevant projects that showcase your ability to lead a team and ensure data quality.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data research and how your background aligns with our mission at Forbes Advisor. Don’t forget to mention specific experiences that demonstrate your analytical leadership.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include examples of how you've used Excel, SQL, or Python in your previous roles. If you’ve designed scoring models or worked with data visualisation tools like Tableau, shout about it!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect directly with us!
How to prepare for a job interview at Forbes Advisor
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis. Be ready to discuss specific projects where you used SQL, Python, or BI tools. Highlight how your analytical skills contributed to successful outcomes, especially in financial services or B2B contexts.
✨Showcase Your Leadership Skills
As a Data Research Analysis Manager, you'll be leading a team. Prepare examples of how you've mentored analysts or improved team performance. Discuss your approach to fostering critical thinking and tackling complex questions, as this will demonstrate your capability to lead effectively.
✨Understand Their Mission
Familiarise yourself with Forbes Advisor's mission and values. Think about how your role can contribute to helping consumers make informed decisions. This shows that you're not just interested in the job, but also in the company's goals and how you can align with them.
✨Prepare for Technical Questions
Expect technical questions related to data quality, methodology, and scoring models. Brush up on your knowledge of best practices in data collection and validation. Being able to clearly explain complex concepts to non-technical stakeholders will set you apart.
