Talent Acquisition/Ops Coordinator

AI overview

Drive efficient hiring processes by managing scheduling and logistics for interviews, ensuring positive candidate experiences, and maintaining ATS data integrity.

Forbes Advisor is hiring! We are looking for Talent Acquisition Ops Coordinator to join the Talent Acquisition team. This person will be responsible for administrative tasks, scheduling interviews and managing our Applicant Tracking System (ATS). This role will help to ensure our hiring processes are efficient, organized, and scalable, and will directly impact the ability to attract and onboard top talent. They will have a direct impact on positive candidate experience and team support. 

Key Responsibilities 

  • Scheduling & Logistics: Arranging complex interviews across different locations/time zones, managing calendars, and coordinating candidate interviews. 
  • System Management: Maintaining data integrity in ATS (Rippling), managing candidate records, and troubleshooting system workflows. 
  • Candidate Experience: Serving as a point of contact for candidates, providing timely updates, and ensuring a positive journey. 
  • Hiring Team Support: Partnering with recruiters and hiring managers, preparing documentation, and assisting with offer letters and onboarding. 
  • Process Improvement: Helping implement standardized recruiting services and ensuring compliance.  

Qualifications 

  • Strong Organization: Meticulous attention to detail and ability to manage multiple tasks simultaneously. 
  • Communication: Excellent written and verbal skills for interacting with candidates, recruiters, and hiring teams. 
  • Tech Proficiency: Familiarity with Applicant tracking systems, Rippling experience is a plus. 
  • Adaptability: Thriving in fast-paced environments and reprioritizing tasks quickly. 
  • Experience: 2+ years in recruiting or people operations. 

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-NM1 #LI-Remote

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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