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Elastic is a free and open search company that provides enterprise search, monitoring, and security solutions built on a single technology stack that can be deployed anywhere. The company's products are used to find documents, monitor infrastructure, and detect threats, making data usable in real-time and at scale. Numerous well-known organizations worldwide, such as Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, rely on Elastic for their mission-critical systems. Founded in 2012, Elastic is a distributed company, with staff located all around the world.
We're seeking a Data Analyst for our growing Enterprise Data team. Our team's main task is to ensure data availability and reliability across the company to facilitate Elastic's strategic goals by managing how data is defined, consumed, delivered, and regulated.
This role will focus on Business Intelligence (BI) and metrics, providing the analysis required for our routine reporting schedule, and uncovering insights through new reports and dashboards to enhance our business performance comprehension. Furthermore, the candidate will collaborate closely with different business partners at Elastic, such as FP&A, Sales Strategy, and Marketing, for comprehensive reporting, analysis, and data management for major enterprise-level decision-making.
If you have a penchant for problem-solving and critical thinking, and are enthusiastic about deciphering insight amidst uncertainty, we'd love to hear from you!
Your responsibilities will include working with business partners to identify, craft and develop enterprise-level data sources, performance metrics and reports; developing reporting and visualization capabilities; supporting the delivery and implementation of data certification processes and initiatives; implementing data quality monitoring processes; and performing quantitative analysis and data mining to drive insight.
Applicants should have at least three years of experience with Tableau and SQL, a solid understanding of basic statistics and econometrics, and experience with machine learning and predictive modeling is a plus. Reliable teamwork, independent and creative thinking, strong communication skills, and flexibility are also required.
As a distributed company, we value and foster diversity. Whether you're seeking to launch a new career or grow an existing one, Elastic encourages a balance of excellent work with a great life. We believe in taking care of our staff and offer competitive pay, health coverage, flexible schedules, generous vacation days, matched charitable giving, parental leave, and other benefits.
Elastic is committed to equal employment opportunity and inclusion. We welcome applicants of all backgrounds and provide accommodation for individuals with disabilities during the application and recruitment process.
