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Forbes Advisor

Senior Data Research Associate

Posted Yesterday
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Remote
Hiring Remotely in Mumbai, Maharashtra
Mid level
Remote
Hiring Remotely in Mumbai, Maharashtra
Mid level
This role involves quality control of data research, liaising with editorial teams, and ensuring accurate data entry and methodologies across various financial and health topics.
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Company Description

Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions.  We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most.

 

The Data Research team is responsible for supporting the content written by our expert editors, by collecting, classifying and reviewing data that will be used to subsidize our articles. This is in order to deliver engaging and accurate content our readers expect to help them make smart financial decisions.

 

This role is fundamental to the business’ success, ensuring we are able to publish content quickly, accurately and to a high standard from the first first time. We are seeking a talented individual to help Forbes Marketplace to best leverage and scale our research production capabilities across Forbes Health, Forbes Advisor US, Forbes Advisor international properties, Forbes Home, Forbes Business and Wheels.

 

You will be working with our Research Managers to collect compile data related to financial products including loans, mortgages, savings/checking accounts, credit cards, online brokerage, insurance, as well as topics such as health products, home improvement, entrepreneurship, legal services and education.

 

 

Job Description

Responsibilities:

 

 

  • Your main objective will be to control the quality of the work done by your junior colleagues, particularly on complex, sensitive or disputed metrics and ensure a 99.9% accuracy level

  • Liaise with the Editorial and Data Analysis teams to ensure methodologies are comprehensive and accurate

  • Help build a knowledge base by providing feedback on existing research methodologies and how they reflect the real world

  • Ensure the data is entered correctly and in the expected format

  • Coordinate with the Data Manager to deliver data sets within a set schedule

 

Skill & Experience

 

We are looking to build a large team of researchers who are able to work proactively and in an agile manner and can provide a meticulous working style, with a sharp "eagle eye" for details and spotting errors. The perfect candidate will be a great communicator, confident to communicate effectively with varying audiences and seniority and will have a strong desire to learn about the variety of topics we cover, eventually specializing in one.

 

We need people who are not afraid to ask questions when needed and are proactive and willing to help their colleagues provide us with the best data and build knowledge.

 

You will be expected to proactively seek out ways to complete tasks more effectively and efficiently. Providing solutions to management on how this can be improved for both you individually, and the wider Data Research Team.

 

You will be able to demonstrate the ability to manage your own time effectively to ensure the required production requests are completed in a timely manner.

 

Qualifications

• 4+ years of work experience in data collection, data research, content research or QA and proven track record of accuracy, or a related academic experience

 

• Candidates who have completed courses or a formal education in topics related to finance, data, or business, or a personal interest in one or more of the following topics: Personal finance, health products, home improvement, entrepreneurship, higher education and online courses.

Additional Information

Perks:

 

  • Day off on the 3rd Friday of every month (one long weekend each month)

  • Monthly Wellness Reimbursement Program to promote health well-being

  • Monthly Office Commutation Reimbursement Program

  • Paid paternity and maternity leaves

Top Skills

Data Collection
Data Research
Qa

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