Talent Acquisition Specialist

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Bengaluru, Karnataka, IND
In-Office
Information Technology • Software • Analytics • Biotech
The Role

Company Description

About DataZymes:

Founded in 2016, DataZymes is a next-generation analytics and data science company driving technology and digital-led innovation for our clients, thus helping them get more value from their data and analytics investments.

Our platforms are built on best-of-breed technologies, thus protecting current investments while providing clients more bang for their buck. As we are a premier partner for many Business Intelligence and Information Management companies, we also provide advisory and consulting services to clients helping them make the right decisions and put together a long-term roadmap.

Our mission at DataZymes is to scale analytics and enable healthcare organizations in achieving non-linear, long term and sustainable growth. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions and are working with some marquee names in the US healthcare industry.

Job Description

  • Collaborate strategically with hiring managers to identify critical staffing requirements
  • Establish comprehensive selection criteria aligned with organizational goals
  • Implement advanced sourcing strategies through online channels, including social platforms, databases, and professional networks
  • Develop and execute rigorous interview and selection procedures, encompassing screening calls, assessments, and in-person interviews
  • Utilize the Applicant Tracking System to thoroughly evaluate candidate information, including resumes and contact details
  • Craft precise job descriptions and formulate targeted interview questions that accurately reflect each position's requirements
  • Orchestrate and actively participate in job fairs and recruitment events to enhance organizational visibility
  • Conduct in-depth analyses to forecast quarterly and annual hiring needs by department
  • Cultivate and maintain long-term professional relationships with past applicants and potential candidates
  • Generate and maintain comprehensive documentation and reports on the hiring process, ensuring regular dissemination to Hiring Managers

Qualifications

MBA in Human Resources or Professional Human Resources certification

Additional Information

Skills Required

  • Proven work experience as a Talent Acquisition Specialist
  • Familiarity with social media, resume databases and professional databases
  • Preferable experience in hiring for Analytics positions
  • Hands-on experience with full recruitment cycle using various interview techniques and evaluation methods (Experience with Bulk hiring)
  • Knowledge of Applicant Tracking Systems (ATSs)
  • Excellent verbal and written communication skills
  • Proficiency in MS Office tools such as Excel and PowerPoint

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The Company
HQ: Philadelphia, PA
104 Employees
Year Founded: 2016

What We Do

Catalyzing Innovation in Pharma with Data-driven Digital Products. The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. Already a laggard in analytical maturity, the Pharma industry had been facing challenges to adapt to a Big Data world. We saw that the products offered by technology companies were too rigid and generic to handle novel problems. The custom solutions offered by consulting organizations took too long to deploy and required many services to maintain and improve. We felt the need for a different approach to finding solutions and we knew it would take a different kind of company to build it. That’s why DataZymes. We’re focused on creating the world’s best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modeling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis.

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