Assistant Manager - Data Research

AI overview

Support data research activities to ensure the timely and accurate publication of high-quality content across various Forbes Marketplace properties.

Position Overview

Assistant Manager 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. We are seeking a highly motivated and detail-oriented Assistant Manager to join our Data Research Team. The successful candidate will support the management of data research activities, ensuring high-quality data analysis, reporting, and insights. You will be responsible for overseeing daily research tasks, assisting with team coordination, and collaborating across departments to drive data-driven decision-making processes.

Skill & Experience We seek a dynamic and analytical assistant manager with 6 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:

  • Previous 6 years of work experience in data research, data analysis within a managerial capacity.
  • Strong understanding of data research methodologies, tools, and techniques.
  • Excellent communication skills, both verbal and written.
  • Strong attention to detail and the ability to follow descriptions and guidelines.
  • Experience with project management, team coordination, and cross-functional collaboration.
  • Excellent problem-solving skills and ability to draw actionable insights from complex data.

Responsibilities

  • Develop a comprehensive understanding of the research topics covered by your areas space (products, providers, metrics, attributes) to ensure that you can provide the best support in case of questions and issues with the researchers.
  • Ensure the accuracy and reliability of collected data by conducting thorough quality assurance checks.
  • Strong interpersonal skills, with the ability to build and maintain relationships with specific teams, department heads, or designated contacts.
  • Reframe research strategies as needed, ensuring adaptability to changing circumstances and evolving project requirements.
  • Support the research team by regularly performing research in completing high priority projects and ad hoc projects along with researching on DataHive ensuring that deliverables are met as per the required standards and timelines.
  • Delegate tasks effectively, ensuring clear expectations and accountability among team members.
  • Liaise with the analysts to have productive discussion on research requirements, timelines and planning on next steps.
  • Identify opportunities to improve research methodologies, data collection practices, and reporting tools. Assist in the implementation of more efficient processes and tools to improve the team’s overall performance.
  • Assist with the onboarding and training of junior team members. Provide guidance and support for their professional development.

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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