Talent Acquisition Operations and Analytics Specialist

Twist Bioscience; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Twist Bioscience is seeking a Talent Acquisition Operations and Analytics Specialist to manage the TA technology stack, ensure data integrity, and translate recruiting metrics into strategic recommendations that drive efficiency across our global talent acquisition processes.

You will champion AI and ML in recruiting, lead implementation and governance of TA tools, build KPI dashboards, and provide data-driven insights to support leadership, recruiters, and hiring managers.

Qualifications

• 5+ years experience in a Talent Acquisition, HR Ops, or People Analytics role.

Responsibilities

• Operations & Systems Management: oversee TA systems and be the SME for core TA platforms.
• Data Integrity: establish governance for data input across TA systems to ensure reporting accuracy.
• Analytics & Strategy: develop KPI dashboards and conduct deep-dive performance analyses.
• Forecasting: assist workforce planning with data-driven insights on hiring needs and capacity.

Skills

5+ years experience in TA/HR Ops

ATS administrator

Analytical & quantitative

Tableau/Power BI

Communication

Tools

Tableau

Power BI

Excel/Google Sheets (Advanced)

Job description

Join our dynamic Talent Acquisition (TA) team as a Talent Acquisition Operations and Analytics Specialist. This critical role manages the TA technology stack, ensures data integrity, and uses recruiting metrics to provide strategic recommendations, driving efficiency and optimizing our global talent acquisition processes. You will champion cutting-edge technology and AI to revolutionize recruiting, directly impacting the efficiency and effectiveness of our global strategy through analytical insights.

Key Responsibilities

• Operations & Systems Management
• System Administration: Serve as the primary administrator and subject matter expert for core TA systems, including the Applicant Tracking System (ATS) (e.g., Greenhouse, Workday, Lever), Candidate Relationship Management (CRM) tools, and other integrated technologies.
• Process Optimization: Continuously evaluate current TA processes and system configurations to identify bottlenecks and implement improvements that enhance recruiter, candidate, and hiring manager experience.
• Data Integrity: Establish and enforce standards and governance for data input across all TA systems to ensure accuracy, consistency, and reliability of reporting.
• Vendor Management: Manage relationships with key TA system vendors, ensuring service level agreements (SLAs) are met and maximizing the value of our technology investments.
• Technology & Innovation
• Technology Rollout & Implementation: Lead the evaluation, selection, implementation, and rigorous testing of new recruiting tools and technologies, ensuring seamless integration with existing TA systems.
• Future-Proofing TA: Stay current on emerging technology trends, specifically the application of Artificial Intelligence (AI) and Machine Learning (ML) in recruiting (e.g., automated screening, sourcing bots, interview scheduling). Develop proposals and business cases for adopting high-impact AI tools.
• Change Management: Design and execute comprehensive change management, training, and documentation plans for the successful adoption of all new systems and feature updates across the TA team and stakeholders.
• Analytics & Strategy
• Metrics and Reporting: Develop, maintain, and automate key performance indicator (KPI) dashboards and operational reports across the entire recruiting funnel (e.g., time-to-hire, source-of-hire, conversion rates, candidate experience scores, diversity metrics).
• Data Analysis: Conduct deep-dive analyses on recruiting performance data to identify trends, root causes of inefficiencies, and areas for strategic intervention.
• Strategic Recommendations: Translate complex data findings into clear, concise, and actionable strategic recommendations for TA leadership and recruiting teams to improve quality of hire, speed, and cost-effectiveness.
• Forecasting: Assist in workforce planning and forecasting by providing data-driven insights on anticipated hiring needs and capacity.

Qualifications

Required

• Experience: 5+ years of experience in a Talent Acquisition, HR Operations, or People Analytics role, with a focus on supporting a recruiting function.
• Technical Proficiency: Proven expertise as an administrator or super-user of a major Applicant Tracking System (ATS).
• Analytical Skills: Strong analytical and quantitative skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Reporting Tools: Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI, advanced Excel/Google Sheets).
• Communication: Excellent written and verbal communication skills, with the ability to present complex data insights clearly to both technical and non-technical audiences.

Preferred

• Experience leading the implementation or significant rollout of an ATS or other core TA technology.
• Demonstrated interest or experience with AI/ML applications in the Human Resources or Talent Acquisition space.
• Project management certification or proven ability to manage complex, cross-functional projects.

About Twist Bioscience

Twist Bioscience synthesizes genes from scratch, known as "writing" DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA.

At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers.

Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law.