Analytics Engineer

Pure Storage provides innovative data storage solutions, serving 11,000+ customers including 58% of Fortune 500 companies.
Data
Senior Software Engineer
In-Person
1,000 - 5,000 Employees
5+ years of experience
Enterprise SaaS · Space · Healthcare

Description For Analytics Engineer

Pure Storage is revolutionizing the data storage industry with innovative solutions that serve over 11,000 customers, including 58% of Fortune 500 companies. As an Analytics Engineer in the Platform Analytics Team, you'll be at the forefront of developing sophisticated analytics architecture and tools that power mission-critical applications. The role combines deep technical expertise in Python, SQL, and machine learning with strategic business impact.

The position offers an opportunity to work with cutting-edge technology in a company that has been recognized as a leader by Gartner for ten straight years and maintains a Net Promoter Score in the top 1% of B2B companies globally. You'll be part of a dynamic team responsible for capturing, analyzing, and automating hardware and software events, directly contributing to the performance and reliability of Pure's hardware platforms and software releases.

The ideal candidate will bring strong technical capabilities in data engineering and analytics, combined with excellent communication skills to translate complex analyses into actionable business insights. This role offers significant growth potential in a fast-paced environment where innovation and customer success are paramount. Pure Storage offers a collaborative culture, comprehensive benefits, and the chance to work on technologies that are transforming industries from healthcare to space exploration.

Working from the Prague office, you'll be part of a company that values individuality, promotes equality, and provides ample opportunities for career development. Pure Storage's commitment to diversity and inclusion, coupled with their Pure Good Foundation's community involvement, makes this an excellent opportunity for those seeking both professional growth and meaningful impact.

Last updated 3 hours ago

Responsibilities For Analytics Engineer

  • Defining and developing analytics architecture and tools
  • Facilitating business decision-making using data analysis techniques
  • Project/program management of data-driven decisions
  • Analyzing systems data and recommending business decisions & strategy to hardware engineering leadership

Requirements For Analytics Engineer

Python
  • Minimum 5 years experience using Python
  • Minimum 5 years experience using SQL
  • Experience with Databases (Snowflake preferred)
  • Experience with Git, Jenkins/Airflow
  • Industry experience implementing Machine Learning
  • Statistical Analysis skills
  • Excellent verbal communication & collaboration skills
  • BS or advanced degree in CS/CE or equivalent experience
  • Must be willing to work in an open office, team environment

Benefits For Analytics Engineer

Medical Insurance
Vision Insurance
Dental Insurance
  • Flexible time off
  • Wellness resources
  • Company-sponsored team events
  • Incentive pay
  • Equity

Interested in this job?

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