Senior Analytics Engineer (R6410)


Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. Learn more at

We are looking for an Analytics Engineer to join our growing team. The primary mission of the Enterprise Data team is to enable the availability and reliability of data across the enterprise to support Elastic’s strategic objectives by driving how data is defined, consumed, delivered, and governed.

If you love problem-solving and critical thinking, and are passionate about finding insight among ambiguity, we'd love to hear from you!

What You Will be Doing

  • Build out of scalable and efficient ETL/ELT pipelines resulting in Certified Datasets that enable the analyses, insights and visualization of business critical initiatives throughout the organization
  • Collaborate with business partners (Sales, Finance, Marketing, etc.) to understand, scope and develop new company wide certified datasets/models
  • Enable and coach consumers of data, helping them use new datasets drive decision making and optimization of our business
  • Assist in modeling Key Performance Indicators for visualization that drive operational and strategic success.
  • Maintain and communicate analytics and engineering-related standards and best practices.
  • Work closely with Analytics teams, Data Science, Data Engineers, Sales, Marketing, and Product teams.

What You Bring Along

  • 5+ years relevant work experience (Data Modeling/Analytics, Data Management, Kimball Dimensional Modeling, Data Engineering)
  • Ability to be agile, proactive and comfortable working in ambiguity; think creatively to come up with innovative solutions to complex problems
  • “Bilingual” having a strong foundational understanding of both the functional (business) needs and the analytics/technology
  • Ability to lead various data initiatives, with a “customer-focused” mentality
  • Ability to think creatively coupled with strong analytics and problem-solving skills
  • Experience conducting large scale data analysis to support business decision making
  • Understanding of and appreciation for the nuances in data landscapes, business applications and processes
  • Experience leading enterprise wide data projects, structured and unstructured, joining large and complex data sets
  • Expertise in the following tools: SQL (writing and analyzing complex queries), Data Build Tool (dbt), Tableau/Power BI (defining data models and measures), Alteryx (willingness to learn). Python knowledge a plus
  • Familiarity with data sourced from common ERP and CRM systems including: Salesforce, NetSuite, Workday, etc.
  • Machine Learning and Predictive Modeling experience is a plus
  • Self-motivated, pragmatic and get-it-done mentality
  • Strong teammate, adept at operating across different functions/teams and levels in the organization

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$178,940 USD
The typical starting salary range for this role in the select locations listed above is:
$135,900$215,050 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
  • Double your charitable giving - We match up to $1500 (or local currency equivalent)
  • 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/affirmative action employer committed to diversity, equity, and inclusion. 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 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)

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