Innodata Inc.

Senior Talent Acquisition Specialist - Remote

Innodata Inc.

full-time

Posted on:

Location: New York • 🇺🇸 United States

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Salary

💰 $95,000 - $105,000 per year

Job Level

Senior

About the role

  • Manage the full recruitment lifecycle from intake to offer for roles across departments.
  • Partner with hiring managers to understand staffing needs, role requirements, and ideal candidate profiles.
  • Source passive and active candidates using LinkedIn, job boards, referrals, and other creative methods.
  • Build and maintain a strong pipeline of qualified candidates across multiple functions.
  • Schedule and coordinate interviews, manage candidate communications, and ensure a smooth candidate experience.
  • Track and report recruitment metrics such as time-to-fill, pipeline health, and source effectiveness using advanced Excel functions (pivot tables, VLOOKUP/XLOOKUP, conditional formatting, formulas, etc.).
  • Create custom Excel dashboards and visual reports to support data-driven hiring decisions.
  • Maintain accurate and up-to-date data in the ATS and Excel trackers.
  • Stay current on talent market trends and recommend innovative sourcing strategies.

Requirements

  • 1-3 years of talent acquisition or recruiting experience (in-house or agency).
  • Proficiency in Microsoft Excel (must be comfortable with pivot tables, lookups, filters, and building reporting templates).
  • Proven experience sourcing and hiring for corporate and technical roles.
  • Strong organizational skills and attention to detail.
  • Excellent interpersonal, written, and verbal communication skills.
  • Ability to work in a fast-paced, high-growth environment.
  • Experience with applicant tracking systems (ATS) is a plus.
  • Experience recruiting in a tech, data, or digital services environment.
  • Familiarity with recruitment analytics and dashboards.
  • Bachelor’s degree in Human Resources, Business, or related field (Master’s a plus but not required).
  • Minimum Education Requirements Bachelor's degree in Computer Science, Engineering, Data Science, Project Management, or a related field (or equivalent work experience).
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