Recruiting System & Data Analyst
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
About the role: We are re imaging Recruiting Analytics at Airbnb, and you will have the opportunity to build the strategy and team from the ground up. We are looking for candidates who are doers; those who are energized by the opportunity to get in the weeds, build our foundations, and scale our Recruiting Analytics practices for the next phase of growth.This role will report into the Recruiting Operations Manager and partner with Recruiting leaders to understand how they currently use data to manage their teams, identify best practices, leverage data and analytics to identify opportunities, and implement new strategies - all with the aim of improving recruiting performance.
If you are passionate about data and want to help empower the recruiting team to ensure a quality candidate experience, educate the organization at large regarding the talent acquisition process and provide critical insights to leadership to guide future talent decisions, then, this is the role for you. If you are a change agent who works deeply to ensure data hygiene, process efficiency and who enjoys developing perspectives using data we’d love to connect with you.
What you’ll do
- Empower leaders and organizations by providing high quality and timely reporting, analyses and actionable insights.
- Drive deep strategic analysis, drawing insights and transforming data into actionable changes that inform the most important decisions across the organization to improve our understanding of our recruiting organization and its ability to enable us to hire more diverse and high quality talent.
- Partner with our Recruiting Strategy and Operations team to form hypotheses and design programs with end state analysis in mind.
- Design, develop and automate self-service dashboards to ensure our business leadership have easy access to the right information when monitoring organizational health and making talent decisions.
- Develop new models and methods for evaluating existing data or correlating new to existing data sources for intuitive reporting solutions.
- Building out and maintaining the Recruiting Analytics database. This includes contributing to the architecture, and integrating multiple systems and data sources to build large and complex data sets to make them usable for analytics use cases.
- Training and educating client teams on recruiting metrics and dashboards.
- Standing up, socializing, and ensuring consistency around data hierarchy, definitions etc. and maintaining consistent and accurate data in our systems including historical data
- Utilize strong understanding of business processes, services, and technology to identify opportunities for improvement, simplification, standardization, and automation across our recruiting function.
What you need to succeed
- 8+ years experience in a quantitative analysis role, preferably in Recruiting and/or HR.
- Experience with SQL, and other analytics tools, data visualization tools (e.g. Tableau, Google Data Studio), and data pipeline tools (e.g., Airflow).
- Experience managing and working with large databases, data management, including understanding of various data structures and common methods in data transformation, data validation and audit.
- Excellent consulting and collaborative skills – ability to translate business problems into research/analytics studies, as well as ability to communicate the results of analyses with business partners to impact and influence strategy and action at all levels.
- Independence in determining and establishing data analysis priorities to balance ongoing projects with requests from multiple team members.
- Biased toward action, simplifies, and great communicator - constantly pushing toward clarity and delivery.
- Ability to identify the root causes of changes in key metrics and run tests to validate your hypotheses.