This opportunity can be remote out of PST, MST or CST. The perfect candidate will have a background in a quantitative or technical field, will have experience working in data-driven decision making. You must be focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of an organization.
Qualifications
Bachelor’s and/or Master’s degree 6+ years of working experience in data analytics Proficiency in data querying language (SQL), scripting language (e.g. Python) and statistical software (e.g. R) Experience in building a modern analytics stack using Snowflake and Tableau.Responsibilities
The candidate will be expected to perform quantitative analysis, data mining, and the presentation of data to understand the data. Build dashboards and reports to visualize and operationalize the insights. The candidate will report directly to the head of engineering operations and partner with engineering teams to build ETL pipelines relevant to the analysis The role may involve work on the following areas.
RUBRIK
Rubrik is one of the fastest growing companies in Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats. We’ve been recognized as a Forbes Cloud 100 Company two years in a row and as a LinkedIn Top 10 startup.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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