Data Analytics Engineer - TechOps (Remote, West Coast)

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We work on large scale distributed systems, processing over 1 trillion events a day with a petabyte of RAM deployed in our Cassandra clusters - and this traffic is growing daily. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to developing and shaping our cybersecurity platform. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

About the Team:

The CrowdStrike Technical Operation Data Analytics organization is growing an application development team. Our organization specializes in solving elusive problems. We are a hybrid team of scientists, developers, and analysts who directly support CrowdStrike leadership with custom and off-the-shelf applications.

Our team offers the opportunity to engage directly with advanced technologies projects (e.g. data science, data engineering, graph neural networks, natural language processing, and optimization) while improving our ability to protect customers (e.g. startups, Fortune 500, nonprofit, etc.) across all industries from global security threats.

What You'll Do:

• Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc., to support analytical and business needs.

• Translate basic business problem statements into analysis requirements.

• Use analytical and statistical rigor to answer business questions and drive team consensus about business decisions.

• Collaborate with the immediate team to find and create ways to measure the customer experience to drive business outcomes.

• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

• Write queries and output efficiently, and have in-depth knowledge of the data available. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.

• Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.

• Troubleshoot operational data-quality issues.

• Review and audit existing ETL jobs and queries.

• Recommend improvements to back-end data sources for increased accuracy and simplicity.

What You'll …