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People Analytics Partner
People Analytics PartnerElastic • Mountain View, CA, United States
People Analytics Partner

People Analytics Partner

Elastic • Mountain View, CA, United States
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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

We're looking for a People Analytics Partner to join our HR Analytics team at Elastic. You'll collaborate with leaders to translate strategy into insights, recommend actions, and define how success is measured. This role blends analytics consulting, survey science, technical savviness, and storytelling to help leaders make confident, evidence-based talent decisions about our people and programs.

What You Will Be Doing

Turn data into decisions

  • Partner with HRBPs and global business leaders to identify high-impact opportunities, define hypotheses, and scope analytics projects that align to company priorities.
  • Deliver end-to-end analysis, from intake through execution and measurement, turning data into actionable recommendations.
  • Drive confidence by creating clear, tailored insights that elevate decision quality across programs and talent strategies.
  • Consult, advise and influence project prioritization based on impact to Elasticians and our business.

Lead lifecycle survey programs

  • Design, evolve and deploy our employee lifecycle survey strategy, aligned to Elastic's priorities.
  • Perform analyses in Glint and connect Elastician feedback to outcomes and actions across tools and datasets.
  • Enable the future of a data driven HR

  • Bring customer voice and business context back to build tools, dashboards, and AI-powered self-service experiences that scale globally.
  • Grow data proficiency across the organization by building self-service content and training leaders to use AI-enabled insights.
  • What You Bring

  • 6-8 years of global experience in HR / People Analytics or a related field with strong consulting success.
  • Deep expertise designing, deploying, and analyzing employee lifecycle surveys (e.g., Glint, Culture Amp, Qualtrics), with a strong grasp of survey methodology, measurement, and action planning.
  • Broad understanding of HR programs and metrics across the employee lifecycle.
  • A builder's approach, comfortable crafting solutions, frameworks, and processes in a fast-evolving analytics environment.
  • Proven record of translating business strategy into data questions and measurable outcomes.
  • Proficiency in data visualization tools (One Model, Visier, Tableau, Power BI) 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.
  • 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 :

    $113,100-$178,900 USD

    The typical starting salary range for this role in the select locations listed above is :

    $135,900-$215,100 USD

    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 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, view posters linked below : Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

    Elasticsearch develops and distributes encryption software and technology that is subject to U.S. 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic ("DNR"), and the Luhansk People's Republic ("LNR"). 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.

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