At a Glance
- Tasks: Lead a team of data analysts to provide insights on health and home products.
- Company: Join Forbes Advisor, a trusted source for consumer advice and guidance.
- Benefits: Remote work, competitive salary, and opportunities for career development.
- Other info: Dynamic team environment with a focus on innovation and quality.
- Why this job: Make a real impact by helping consumers make informed decisions.
- Qualifications: Experience in data analysis, especially with Tableau and SQL.
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. 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) (Hiring Immediately) in London employer: forbesadvisor
Forbes Advisor is an exceptional employer that prioritises employee growth and collaboration in a dynamic remote work environment. With a strong focus on data-driven insights, employees are empowered to lead projects that directly impact consumer decision-making in the Health and Home sectors. The company fosters a culture of innovation and support, offering opportunities for professional development while ensuring a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Data Research Analyst, Home & Health (Remote) (Hiring Immediately) in London
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We think you need these skills to ace Sr. Data Research Analyst, Home & Health (Remote) (Hiring Immediately) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at forbesadvisor. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at forbesadvisor!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
