Sr Data Analyst, Talent Acquisition Operations

Nothing exceptional was ever normal. At Abnormal, people are our greatest asset, and the Recruiting team is on the frontlines, helping to build and scale the organization with outstanding new team members to help us achieve our business goals. This position requires a blend of creativity, problem solving, conceptual thinking abilities in addition to strong mathematical, analytical, and data modeling skills to develop and implement effective reporting across our global recruiting team.  Collaborating with cross functional teams, you will be responsible for all analytics and reporting needs including: recruiting and budget results against targets, hiring pipeline forecasts, key performance indicators, competitive results, strategic planning, and identification of opportunities to recruit more effectively and efficiently.

 The outputs of this work will be leveraged by the Recruiting Leadership Team to improve our strategic decision-making in topics such as capacity planning, performance evaluation, budget management (cost per hire and other cost analyses); strategic planning (e.g./ create forecast scenarios based on data and trends to aid the business and recruiting leaders with future hiring needs); and efficiency improvements (e.g./ pass-through rates, organizational opportunity costs, AI-efficiency effectiveness, and more). 

• Build the future of the recruiting analytical infrastructure by understanding our current tech stack and build a data warehouse which will enable you to perform queries and analysis between multiple sources
• You will drive some of the most critical decisions in both the recruiting and the business in how we calculate key performance metrics and how we share our data to our business partners
• Leverage a data first approach to identify critical business trends to deliver both insights and specific actionable recommendations to the business
• Build and maintain critical dashboards, reports and presentations that enable key leaders to understand, interpret and make decisions 
• Create predictive models and trend analysis for the recruitment team by understanding historical data to predict future outcomes so that the recruiting leaders can make more informed decisions and for strategic planning purposes
• Create audits to identify opportunities for training and improvements within the recruitment end to end process
• Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
• Tell the story from the insights through dashboards, visualizations and presentations
• Monitor and validate data ensuring high-quality information is collected and accurately stored.
• Help to continually improve data management methods and systems. Proactively suggest opportunities to avoid problems and anticipate future data needs.

• 5+ years of experience in Recruiting Operations, People Operations, or Analytics team with a demonstrated track record of operational excellence and innovation.
• 3+ years in a stakeholder management and managing large data sets 
• Experience in data analytics (4+ years of related experience)
• Fluent in SQL and familiar with data warehouses such as Redshift, BigQuery, or Snowflake
• An expert with Excel/GSheets and data visualization tools such as Sigma, Tableau or similar software
• Familiar with recruiting software such as Greenhouse, Gem, LinkedIn etc
• Experience with leading and delivering data related projects
• An excellent communicator (verbal and written) with interpersonal skills to develop and communicate clear, comprehensive analyzes and influence stakeholders

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At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.