Position Overview
The Senior Data Researcher plays a crucial role in the Data Research team, supporting content creation by collecting, classifying, and reviewing data to enhance our articles. This position is pivotal in ensuring the swift, accurate, and high-quality publication of content across Forbes Marketplace properties, including Forbes Health, Forbes Advisor US, Forbes Advisor International, Forbes Home and Forbes Business. In this role, you will be responsible for leading a subgroup of researchers, overseeing their work, and ensuring the delivery of high-quality data research and insights. You will work closely with the Data Research Manager to implement strategies, streamline processes, and support data-driven decision-making across the organization. As a senior member of the team, you will also play a key role in mentoring and guiding associate researchers.
Skill & Experience We seek a dynamic and analytical Senior Data Researcher with 3-5 years of experience. The ideal candidate will conduct in-depth primary & secondary research, design and execute research projects, and provide actionable recommendations for informed business decisions.
Qualifications:
Responsibilities
Perks:
Any degree ( Fulltime preferred)
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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