Analyst, Talent Acquisition Operations

We’re looking for a detail-oriented and execution-focused TA Operations Analyst to support the day-to-day operations of our global recruiting function. This role will help maintain and improve the processes, tools, and reporting that enable efficient and scalable hiring across Databricks, including the use of AI and automation to streamline workflows and enhance data quality.

As an Analyst, Talent Acquisition Operations, you will play a key role in supporting our global talent organization by ensuring smooth operations and efficient, tech-enabled processes. You will assist in executing projects, maintaining data accuracy, and supporting system enhancements, while leveraging AI and automation tools to optimize the recruitment lifecycle. This role requires strong organizational skills, attention to detail, and a collaborative mindset to contribute to team success.

• Lead the execution of small initiatives while contributing to larger initiatives with moderate to high level of direction from leadership
• Respond to and resolve Tier 1 inquiries, handling system and process issues that require detailed investigation and troubleshooting
• Assist in improving, administering, and testing updates to our ATS and recruiting tech stack under guidance from senior team members.
• Contribute to process improvement efforts by collaborating with cross-functional teams on defined tasks.
• Help with TA onboarding, offboarding, training, and enablement for talent systems to ensure smooth transitions.
• Support ongoing programmatic efforts through coordination, reporting, and execution of assigned tasks.
• Create and reconcile reports from multiple data sources to provide valuable insights for stakeholders.
• Conduct regular audits to ensure data quality and promote system accuracy.

• Prior hands-on experience in a Talent Acquisition Operations (TAops) role is required.
• Experience supporting or administering recruitment tech stacks and Applicant Tracking Systems (ATS).
• Strong organizational skills with the ability to manage multiple tasks and priorities simultaneously under moderate supervision.
• Basic project management skills to support the execution of talent acquisition initiatives.
• Effective communication skills with a collaborative approach to working with team members across various functions.
• Detail-oriented mindset with a focus on data quality and accuracy in day-to-day work.
• Proficiency in data analysis and reporting, with the ability to derive insights from multiple data sources under direction.
• Adaptability and willingness to learn new technologies and processes as part of ongoing development.
• Understanding of the recruiting lifecycle and processes, with a focus on how systems and reporting can improve efficiency and quality.

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.