Technical Recruiter - Data Analytics

Employment Type:

About the Role

Data Analytics Recruiter

Key Responsibilities

• Manage

  end-to-end recruitment

  for Data Analytics, Data Science, Data Engineering, BI, and related technical roles.
• Partner with hiring managers to define job requirements, competencies, and hiring process.
• Source high-quality candidates using advanced sourcing techniques (Boolean search, market mapping, social platforms, talent databases).
• Screen candidates for technical and soft-skill fit; evaluate understanding of SQL, Python, statistical concepts, ML basics, cloud technologies, and BI tools.
• Coordinate interview processes, assessments, and debriefs with stakeholders.
• Maintain strong talent pipelines for current and future hiring needs.
• Conduct market research on compensation, industry trends, and competitor hiring insights.
• Use ATS and recruitment analytics to track pipelines, measure metrics, and improve hiring efficiency.
• Build and maintain employer branding initiatives tailored to analytics and tech talent.
• Provide an outstanding candidate experience through clear and timely communication.

Required Skills & Qualifications

• Bachelors degree in HR, Business, Data Analytics, or related field.
• 4 to 6 years of technical recruiting experience, preferably focusing on data or analytics roles.
• Strong understanding of data analytics concepts, tools, and roles (e.g., SQL, Python, Tableau/Power BI, data modeling).
• Proven success sourcing and hiring for niche or hard-to-fill technical positions.
• Experience working with ATS platforms (Greenhouse, Lever, Workday, etc.).
• Excellent communication, negotiation, and stakeholder management skills.
• Ability to analyze recruitment metrics and optimize processes.

Preferred Qualifications

• Full time MBA with HR background.
• Experience recruiting for cloud analytics roles (AWS, GCP, Azure).
• Familiarity with analytics interview processes and technical assessment tools.
• Prior experience hiring for startups, tech companies, or data-centric teams.
• Certifications in HR or Talent Acquisition (e.g., SHRM-CP, LinkedIn Recruiter, AIRS).