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Forbes Advisor

Associate Data Researcher - Methodology

Mumbai , India
full-time

AI overview

Support data-driven insights by gathering, cleaning, and analyzing datasets while ensuring data integrity across various research initiatives.

What we are looking for

We are looking for a dedicated and detail-oriented Data Research Associate to join our 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.

Requirements:

  • 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

All your information will be kept confidential according to EEO guidelines.

 

Perks & Benefits Extracted with AI

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

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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