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HR Intern Jobs in Mumbai,Navi Mumbai - Quantiphi Analytics

HR Intern

Quantiphi Analytics
experience-icon 0 Years
salary-icon 2000 - 10000 Monthly
qualification-icon B.Com, BA, BCA, BE/B.Tech, Other Graduate
Expired

Posted: 21 Jan 19

Job Description

About the Internship : 
Selected intern's day-to-day responsibilities include: 
  • Source & screen profiles, short-list the candidates in preliminary rounds
  • Cold calls to suitable candidates
  • Track and report key metrics designed to measure and predict staffing activity
  • Regular follow up with the respective candidates to ensure timeliness of recruitment process
  • Manage the entire staffing process: recruiting, screening, interviewing, conducting tests and selecting employees to fill vacant positions throughout the organization6. The candidate would be working for the US Recruitment team. 7. Shift Timings would be 4pm - 1am
Who can apply:
  • Only those candidates can apply who:
  • Are available for full time (in-office) internship
  • Can start the internship between 21st Jan'19 and 20th Feb'19
  • Are available for duration of 6 months
  • Are from Mumbai, Western Line.
  • The Location of the company is Malad {west}
  • Have relevant skills and interests
Perks:
  • Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.

Job Particulars

Role hr admin
Education B.Com, BA, BCA, BE/B.Tech, Other Graduate
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id550111
Locality Address
Country India

About Company

Quantiphi Analytics Solutions Private Limited is a category-defining decision science and big-data analytics company focused on charting a new path to business value creation through impact ready analytics. We are founded on the belief that data is a company's most valuable economic asset and analytics is the emerging path to value creation. We help our clients harness the full potential of big data analytics through a unique blend of business acumen, big-data integration, machine learning, and intuitive decision support tools.
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