Data Engineering Recruitment Specialist

January 19

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Tiger Analytics

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Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, Big Data and AI. We are working on building the best analytics consulting company in the world. We are currently seeking a dynamic and experienced Recruiter to join our Talent acquisition team. Responsibilities: Talent Acquisition: Execute end-to-end recruitment processes, from sourcing and screening to interviewing and onboarding. Identify and attract top talent through various channels, including job boards, social media, and professional networks. Candidate Relationship Management: Build and maintain strong relationships with candidates throughout the recruitment process. Provide a positive candidate experience and act as the main point of contact for candidates. Collaboration with Hiring Managers: Partner with hiring managers to understand staffing needs and develop effective recruitment strategies. Conduct regular meetings with hiring managers to review open positions and discuss candidate profiles. Job Posting and Advertisement: Create compelling job descriptions and post them on relevant job boards and platforms. Develop creative recruitment advertisements to attract a diverse pool of candidates. Interviewing and Evaluation: Conduct thorough interviews to assess candidates' skills, qualifications, and cultural fit. Evaluate candidate resumes and profiles to ensure alignment with job requirements. Data Management: Maintain accurate and up-to-date candidate information in the Applicant Tracking System (ATS). Generate recruitment reports and metrics for analysis and improvement.

🎯 Requirements

4 plus years of in-house or consulting recruitment experience in supporting diverse business needs. Experienced in hiring data analytics-related roles such as - Data Engineers, Machine Learning Engineer, Machine Learning Architects, Solutions Architect, Data Architects, Cloud Architects, Analytics Subject matter Experts and Technology Consultants. Expertly source, develop and maintain a strong candidate pipeline including passive candidates using custom outreaches and meaningful candidate engagement. Extensively use tools like LinkedIn, ATS, referrals, job boards, etc. to develop a robust pipeline of candidates. Able to adapt effective recruitment strategies to attract top talent in a competitive market. Experience in maintaining accurate and organized records of candidate information and recruitment activities in ATS. Must have prior experience in US hiring. Ability to collaborate with a remote team and work across different time zones. Knowledge of local employment laws and regulations. Strong verbal and written communication skills. Strong organizational skills, ability to independently manage transactions, deliver timely updates, work against tight deadlines.

🏖️ Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.