Analytics Engineer
United States
Elastic
Power insights and outcomes with the Elasticsearch Platform and AI. See into your data and find answers that matter with enterprise solutions designed to help you build, observe, and protect. Try Elas...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 elastic.co.
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 will help enable the analysis and visualizations of the multiple initiatives throughout the organization
- Collaboration with business partners (Sales, Finance and Marketing teams) in the creation of company wide certified datasets
- Enablement and coaching of consumers, helping them use new datasets and dashboards that drive decision making and optimization of our business
- Assist in the curation and visualization of Business Key Performance Indicators (KPIs) that drive operational and strategic success
- Assist in the promotion and enhancement of our Analytics Center of Excellence
- Establishment and communication of analytics and engineering-related standards and best practices
- Ad hoc analysis, problem solving and assistance for our team and extended teams
- Work closely with Analytics teams, Data Science, Data Engineers, Marketing and Sales Operations
What You Bring Along
-
- 5+ years relevant work experience (Business Analytics, Data Modeling/Analytics, Data Management, Finance/Sales Finance, Program Management)
- Proven 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), Tableau/Power BI (defining data models and measures), Alteryx (willingness to learn is sufficient). Python knowledge a plus
- Familiarity with data sourced from common ERP and CRM systems including: Salesforce, Netsuite, 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
#LI-JM5
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 committed to diversity as well as inclusion. We are an equal opportunity employer and committed to the principles of affirmative action. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. If you require any reasonable accessibility support, please complete our Candidate Accessibility Request Form.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Equal Employment Opportunity (EEO) Poster; and Employee Polygraph Protection Act (EPPA) Poster.
Please see here for our Privacy Statement.
Tags: Agile Business Analytics Data analysis Data management ELT Engineering ETL Finance KPIs Machine Learning Pipelines Power BI Predictive modeling Privacy Python Security SQL Tableau
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Medical leave Parental leave
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