Technical Recruiter Data Analytics

Codehive Labs Hyderabad; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Data Analytics Recruiter, where you'll play a crucial role in sourcing and hiring top talent in the analytics space. This position demands a strategic mindset to develop targeted sourcing strategies and collaborate with hiring managers to define job requirements. Your expertise in BI/reporting platforms and data technologies will be essential in evaluating candidates and ensuring a seamless hiring process. With a focus on metrics and continuous improvement, you'll help shape the future of analytics talent acquisition. If you're passionate about connecting great candidates with exciting opportunities, this role is perfect for you.

Qualifications

• 6+ years of full-cycle technical recruitment experience.
• Strong understanding of BI/reporting platforms and data technologies.

Responsibilities

• Identify and hire talent in analytics roles, ensuring alignment with business objectives.
• Manage the full recruitment lifecycle, from job posting to onboarding.

Skills

Strategic Sourcing

Data Modeling

ETL

SQL

DAX/MDX

Technical Screening

Communication Skills

Education

Bachelor's degree in Human Resources

Bachelor's degree in Business

Bachelor's degree in Information Technology

Tools

Tableau

Power BI

Cognos

MicroStrategy

Qlik Sense

SmartRecruiters

Taleo

LinkedIn Recruiter

Job description

Role & responsibilities

A Data Analytics Recruiter specializes in identifying and hiring high-performing talent in the analytics space, spanning BI developers, data engineers, analysts, and science roles. You will act as a trusted partner to hiring managers, ensuring each candidate aligns with both technical requirements and business objectives. Success in this role demands deep familiarity with the analytics ecosystem, especially BI/reporting platforms such as Tableau, Power BI, Cognos, MicroStrategy, and Qlik Sense.

Preferred candidate profile

• Strategic Sourcing & Pipeline Building
  Develop targeted sourcing strategies for BI/analytics roles via LinkedIn, Naukri, GitHub, data-focused forums (Kaggle, Stack Overflow), and campus networks.
• Stakeholder Partnership
  Collaborate with hiring managers to refine job requirements, map critical skills (data modeling, ETL, SQL, DAX/MDX), and define selection criteria.
• Technical Screening & Assessment
  Evaluate resumes and conduct initial screens to assess proficiency in BI/reporting tools (Tableau, Power BI, Cognos, MicroStrategy, Qlik Sense) and core SQL/data-warehousing concepts. Coordinate or administer technical assessments (take-home assignments, portfolio reviews, coding challenges) to validate candidate capabilities.
• End-to-End Recruitment
  Manage the full hiring lifecycle: job posting, interview coordination, offer negotiation, and onboarding handoff. Maintain an up-to-date ATS and ensure a seamless candidate experience.
• Metrics & Continuous Improvement
  Track and report key talent-acquisition metrics (time-to-hire, cost-per-hire, source effectiveness), identify bottlenecks, and implement process improvements.

Experience: 6+ years of full-cycle technical recruitment, with at least 3 years focused on data analytics or BI roles.

Tool Knowledge: Hands-on understanding of BI/reporting platforms—Tableau, Power BI, Cognos, MicroStrategy, Qlik Sense—and complementary data technologies (SQL, ETL frameworks, data-warehousing).

Sourcing & Screening: Proficiency with ATS platforms (e.g., SmartRecruiters, Taleo), LinkedIn Recruiter, Naukri, Indeed, and Boolean/advanced sourcing techniques.

Communication & Collaboration: Excellent verbal and written communication skills; proven ability to engage technical stakeholders and guide them through hiring decisions.

Educational Background: Bachelor’s degree in Human Resources, Business, Information Technology, or a related field.

Preferred Skills & Experience

• Prior experience recruiting for specialized analytics roles—Data Engineers, ML Engineers, Analytics Architects.
• Familiarity with data-privacy and compliance standards (GDPR, local regulations).
• HR certification (e.g., SHRM-CP, PHR) or technical recruiting accreditation.
• Strong network within India’s analytics community (meetups, hackathons, alumni groups).