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For Companies At a Glance
- Tasks: Lead data analysis for Health and Home, guiding a team to deliver impactful insights.
- Company: Join Forbes Advisor, a trusted source for consumer advice and guidance.
- Benefits: Enjoy remote work, competitive salary, and opportunities for career growth.
- Other info: Collaborative environment with a focus on professional development and innovation.
- Why this job: Make a real difference by helping consumers make informed health and home decisions.
- Qualifications: Experience in data analysis, proficiency in Tableau, and strong problem-solving skills.
The predicted salary is between 28800 - 48000 £ 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. 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.
Forbes Advisor provides consumers with journalist- and expert-written insights, news, and reviews on a variety of verticals, from FinServ and Insurance to Education. In a space that is often complex and confusing for the average reader, our goal is to provide robust, data-backed recommendations so that consumers can be informed when making crucial decisions about caring for their minds and bodies.
We are seeking a Senior Health and Home Data Analyst to join our team and collaborate with our editorial team in creating top-quality content. In this role, you will lead our Health and Home verticals, managing our Data Analysts, and acting as point of contact for data queries from other departments.
You will work closely with our methodology, editorial and SEO teams to refine data-driven methodologies, support a team of researchers tackling unique data collection projects, and provide a clear, defendable ranking to our editorial team. Your research and analysis will be a core component of making trustworthy, relevant product and service assessments, and assist thousands of consumers in making their next purchase or health/home-related decision.
Responsibilities:
- Manage a small team of data analysts, supporting them in their deliverables and career development
- Feedback on SEO data requests for feasibility, usability, and scalability
- Feedback on methodologies from Methodology team for clarity, reliability and validity
- Leverage a team of researchers to collect product and service data, with a focus on Health & Wellness and Home products
- Oversee processes for quality control and data sanitization
- Perform analysis on collected data to identify top-quality products and services
- Collaborate with peers to introduce and develop new techniques and processes for efficient data collection
- Work with the editorial team to establish priorities and maintain regular pipeline throughput
- Review editorial content resulting from work product for accuracy and completeness
About You:
- Highly organized, with strong attention to detail and critical thinking abilities
- Experienced in Tableau (Desktop, Prep Builder and Cloud)
- Comfortable learning new and bespoke systems
- Comfortable working in Microsoft, with an emphasis on Excel
- Strong analytical and problem-solving skills
- Ability to adapt to a changing environment and prioritize projects accordingly
- Keen sense of curiosity and strong ability to articulate reasons for ranking changes
- Previous experience in a quality role is preferred
- Comfortable managing your own projects and deliverables
- Comfortable managing and working with international teams
- Familiarity with Health & Wellness or Home products and services a plus
Qualifications:
- Degree in a relevant field, such as business or computer science, or equivalent training and experience
- Proficiency in using Tableau for data analysis and manipulation
- Proficiency in SQL for data manipulation is desirable
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.
Sr. Data Research Analyst, Home & Health (Remote) in London employer: Forbes Advisor
Contact Detail:
Forbes Advisor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Research Analyst, Home & Health (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Forbes Advisor. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your data analysis projects, especially those related to Health & Home. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online resources. The more comfortable you are, the better you'll perform.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Sr. Data Research Analyst, Home & Health (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are most relevant to the Sr. Data Research Analyst role. Highlight your analytical skills, experience with Tableau, and any previous work in health or home products.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to our mission at Forbes Advisor. Share specific examples of your past work that align with the responsibilities outlined in the job description.
Showcase Your Analytical Skills: In your application, be sure to mention any projects where you've used data to drive decisions. We love seeing how you've tackled complex problems and what methodologies you've employed to achieve results.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Forbes Advisor
✨Know Your Data Inside Out
As a Senior Data Research Analyst, you'll be expected to have a solid grasp of data analysis tools like Tableau and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these tools effectively. Prepare examples that showcase your analytical prowess and how it has led to actionable insights.
✨Understand the Health & Home Landscape
Familiarise yourself with current trends in the Health and Home sectors. Be prepared to discuss how data can influence consumer decisions in these areas. Showing that you understand the nuances of these markets will demonstrate your commitment and relevance to the role.
✨Showcase Your Leadership Skills
Since you'll be managing a small team of data analysts, it's crucial to highlight your leadership experience. Think of examples where you've supported team members in their development or successfully managed projects. This will show that you're not just a data whiz but also a great mentor.
✨Prepare for Methodology Discussions
You'll need to collaborate closely with the methodology team, so be ready to discuss how you approach data collection and quality control. Think about how you can articulate your process for ensuring data reliability and validity, as this will be key in your discussions during the interview.