Data Analyst | Recruitment Consultant

Role overview

Analytics and reporting

• Analyze recruitment, candidate, hiring, and business data; develop dashboards, reports, KPIs, and performance trackers.
• Monitor pipeline, sourcing, interview conversion, time-to-hire, placement, and recruitment-cost metrics.
• Collect, clean, validate, and organize data from ATS, CRM, recruitment systems, and other business sources.
• Translate insights into recommendations and report performance to management and stakeholders.
• Improve sourcing efficiency, candidate engagement, recruitment processes, reporting, analytics, and workflows.

Recruitment and consulting

• Understand workforce requirements and manage end-to-end recruitment for assigned positions and clients.
• Source candidates through LinkedIn, job portals, talent databases, referrals, and professional networks; review profiles and assess suitability.
• Conduct candidate screening interviews and initial assessments; build talent pipelines.
• Coordinate interviews, assessments, feedback, offers, onboarding, negotiations, and placements.
• Maintain candidate and client relationships, provide recruitment guidance and market insights, and collaborate with internal teams.

Requirements

• Proven experience in data analytics, recruitment, talent acquisition, business analysis, HR analytics, or a related field.
• Analytical and problem-solving skills; experience with relevant datasets, dashboards, reports, KPIs, and performance analytics.
• Proficiency in Excel, Power BI, Tableau, Google Sheets, or similar tools.
• Strong recruitment-process knowledge and experience with LinkedIn, job portals, ATS, CRM, and recruitment databases.
• Strong communication, interviewing, presentation, stakeholder-management, organizational, and time-management skills.
• SQL, databases, data visualization, and querying are advantageous; ATS/CRM/HRIS analytics-platform experience is preferred.
• Market analytics knowledge is advantageous. A related bachelor's degree is preferred; relevant certifications are advantageous.
• Ability to manage multiple vacancies and projects, communicate insights clearly, and work independently and collaboratively.

What the employer offers

• Opportunity to combine data analytics and recruitment consulting and contribute to data-driven recruitment improvements.
• Exposure to recruitment analytics, workforce planning, talent-market intelligence, and business reporting.
• Access to analytics, ATS, CRM, recruitment, and business-intelligence technologies; training, mentorship, and career-growth opportunities.
• Competitive compensation, performance incentives, commission opportunities, and benefits.