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Senior Analyst, HR AnalyticsElastic • Mountain View, California, United States
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Senior Analyst, HR Analytics

Elastic
  • US
    Mountain View, California, United States
  • US
    Mountain View, California, United States
Jetzt Bewerben

Über

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: The Senior HR Analyst is a hands-on "builder" role designed to bridge the gap between complex recruiting data and actionable business strategy. You will work directly with the recruiting team to deliver recurring insights, ad-hoc analytics, and compliance-based reporting. As part of the HR Analytics team, you will build and deploy scalable insights in our foundational HR data tools. Your mission is to move the organization away from manual reporting and toward a mature, AI-powered self-service environment, ensuring that team members don't just have data, but have decision confidence. What You Will Be Doing: Architecting the Recruiting Reporting and Insight Engine Automate Reporting: Streamline recurring recruiting reports (Greenhouse, LinkedIn, One Model) to eliminate manual "data wrangling" Recruiting Strategy Partner: Translate talent data into insights that identify bottlenecks, improve candidate experience, and enhance hiring efficiency. Data Quality & Governance: Monitor recruitment data for anomalies and establish validation checks to ensure "one version of the truth" across systems. Establish a prioritization method to handle ad-hoc reporting and analytics requests across the recruiting team. Enablement: Build data proficiency within the team, moving us toward self-service tools, so answers can be found in real-time.
Build and Deploy Scalable Analytics
Connect the Dots: Help build data pipelines that link recruiting (Greenhouse) to the broader employee lifecycle (Workday, Glint, ServiceNow) to show how hiring decisions impact long-term engagement and retention. Tool Modernization: Support the transition and optimization of our analytics tech stack (e.g., One Model, Visier) and survey tools (Glint). Self-Service: Develop scalable dashboards that increase access to HR data, reducing the time we spend on reactive questions. AI Integration: Explore and deploy AI-powered tools that simplify how users interact with and interpret people data.
What You Bring: Proven experience in HR Analytics with proficiency in data engineering. Hands-on experience with applicant tracking systems, Workday, and analytics platforms. Proficiency in data visualization tools (One Model, Visier, Looker) and comfort querying data (SQL, R, or Python a plus). Strong storytelling and presentation skills for both technical and non-technical audiences. Experience across geographies and time zones, tailoring insights to diverse audiences. Curiosity about AI and how it can simplify insight delivery and decision support. Broad understanding of HR programs and metrics across the employee lifecycle, including recruiting. A builder's approach, comfortable crafting solutions, frameworks, and processes in a fast-evolving analytics environment.
Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $94,300-$149,200 USD The typical starting salary range for this role in the select locations listed above is: $113,300-$179,200 USD #LI-JM5
  • Mountain View, California, United States

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  • English
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