Associate - Data Researcher

AI overview

Contribute to Forbes Advisor's content by gathering and analyzing data on financial products and other sectors while ensuring high-quality information flow.

Position Overview

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 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, education and software as a service (SaaS) platforms - such as project management software, CRMs or e-commerce platforms.

Skill & Experience

We are looking for a dedicated and detail-oriented Associate Data Researcher to join our Data Research Team. In this role, you will support the team in gathering, analyzing, and interpreting complex datasets to drive insights and decision-making across various projects. Your work will directly contribute to advancing our understanding of key data trends, enhancing research capabilities, and ensuring the integrity of the data used in decision-making processes.

Qualifications:

  • At least 1-2 years of experience in data research
  • Good written and verbal communication skills.
  • Attention to detail with the ability to work accurately under tight deadlines.

Responsibilities

  • Assist in gathering and compiling relevant datasets from internal and external sources to support research initiatives.
  • Conduct data cleaning and validation to ensure accuracy and consistency is maintained across research projects.
  • Collaborate with senior researchers to brainstorm and execute data research projects
  • Assist in maintaining data quality by conducting regular data audits and performing quality control tasks.
  • Provide ad-hoc research support as needed for ongoing or new projects within the data research team.
  • Ensure the data is entered correctly and in the expected format
  • Note any discrepancies, non-conforming data, or other issues and escalate it if necessary

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

Any degree ( Fulltime preferred) 

Perks & Benefits Extracted with AI

  • Home Office Stipend: Monthly Office Commutation Reimbursement Program
  • Monthly long weekend: Day off on the 3rd Friday of every month (one long weekend each month)
  • Paid Parental Leave: Paid paternity and maternity leaves
  • Wellness Stipend: Monthly Wellness Reimbursement Program to promote health well-being

Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace 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 Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices. 

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