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:
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Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc., to support analytical and business needs.
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Translate basic business problem statements into analysis requirements.
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Use analytical and statistical rigor to answer business questions and drive team consensus about business decisions.
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Collaborate with the immediate team to find and create ways to measure the customer experience to drive business outcomes.
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Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
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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.
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Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.
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Troubleshoot operational data-quality issues.
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Review and audit existing ETL jobs and queries.
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Recommend improvements to back-end data sources for increased accuracy and simplicity.
What You’ll Need:
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5+ years of experience in the data/BI space
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Proficiency with SQL
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Proficiency with data visualization using Tableau, QuickSight, or similar tools
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Experience working directly with business stakeholders to translate between data and business needs
Preferred Qualifications:
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Masters or Bachelors degree in Computer Science, Engineering, Math, Finance, Statistics or a related discipline
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Familiarity with cloud computing platforms, e.g. AWS, GCP, and Azure, cost and usage reporting
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Familiarity with cloud query services such as Athena, BigQuery, Lambda, etc. to perform ETL tasks.
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Peripheral interest in improving the security posture of the known universe
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Knowledge and direct experience using business intelligence reporting tools. (Tableau, Business Objects, Microstrategy, OBIEE, Cognos, Cubes, etc.)
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Experience coding with scripting languages (R or Python) to do basic data manipulation and mathematical computations
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Experience in partnering with business owners to understand requirements and develop supporting analysis to solve business problems
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Strong analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases
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PandoLogic. Keywords: Data Engineer, Location: New York, NY – 10060
Business Intelligence (BI) Natural language processing (NLP) Data Analyst Tableau Lambdas Data Science Python Amazon Web Services (AWS) Data Engineering Azure R Amazon Athena optimization Google Cloud Platform (GCP) SQL Amazon QuickSight ETL google-bigquery