WinWire - Talent Acquisition Analyst

Role - Talent Acquisition Analyst
Mode - Hybrid
Exp - 3 - 7 years.
About WinWire:
WinWire Technologies is a fast-growing digital and AI-led IT services company enabling enterprises to accelerate their data, analytics, cloud, and Agentic AI transformation journeys. We are expanding our talent engine to support aggressive growth across global markets.
Role Overview:
We are looking for a high-energy Recruiter with strong sourcing fundamentals and hands-on experience hiring for Data Analytics, Data Engineering, and AI/ML roles. This role will be responsible for driving end-to-end recruitment with a strong focus on proactive talent mapping and market intelligence.
Key Responsibilities:
Talent Sourcing & Acquisition:
- Drive end-to-end hiring for Data Engineering, Data Analytics, AI/ML, and emerging technology roles
- Build strong sourcing pipelines through LinkedIn Recruiter, job portals, GitHub, Stack Overflow, referrals, and networking
- Execute Boolean searches and advanced sourcing strategies
- Conduct initial screening, technical validation discussions, and cultural fit assessments

Market Intelligence & Talent Mapping:
- Develop talent maps for niche skill areas (e.g., Snowflake, Databricks, GenAI, LLM, MLOps)
- Conduct competitor mapping and compensation benchmarking
- Map target companies and talent pools; run active & passive outreach at scale with personalization.
- Track hiring trends in the Data & AI ecosystem
Stakeholder Management:
- Partner closely with Hiring Managers and Delivery Leaders
- Provide regular updates on pipeline, sourcing effectiveness, and market insights
- Ensure strong candidate experience throughout the hiring lifecycle
Process & Metrics:
- Maintain recruitment dashboards and meet defined KPIs (TAT, Cost per Hire, Offer Ratio, etc.)
- Ensure compliance with recruitment governance and documentation standards
- Orchestrate structured interviews, panel readiness, and timely feedback; ensure a frictionless candidate experience.
Required Skills & Qualifications:
- 3-7 years of IT recruitment experience, minimum of two years in HIring for AI / Data Analytics / Data Engineering roles
- Fulltime Engineering or MBA from reputed Institutions
Strong exposure to hiring for:
- Data Engineering (Spark, Databricks, Snowflake, Azure/AWS/GCP Data Stack)
- Data Analytics / BI (Power BI, Tableau, SQL, Python)
- AI/ML / GenAI roles
- Strong sourcing skills with demonstrated ability to close niche positions
- Excellent understanding of IT technology stacks
- Strong screening and candidate evaluation capability
- Excellent communication and stakeholder management skills
- High ownership mindset and ability to work in a fast-paced growth environment
- Experience working in mid-to-large IT services companies
Preferred Qualifications:
- Experience working in mid-to-large IT services companies
- Exposure to global hiring (US/India/APAC markets)
- Experience in hiring for Agentic AI or emerging AI-led transformation roles