Pure Storage Germany logo

Staff AI & Automation Data Analyst

Pure Storage Germany·Salary not specified

Primary stack

PythonSQLAI

Job description

About the Position

Everpure (NYSE: P) has evolved from a storage pioneer to a data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

Responsibilities

  • Own the technical build of AI-powered analytics tools - including RAG pipelines, LLM-assisted querying, agent workflows, and applied ML models.
  • Apply data science methods (forecasting, segmentation, anomaly detection, classification) where a problem genuinely calls for them.
  • Design, build, and deploy AI agents for analytics use cases.
  • Identify and prioritize high-value opportunities to automate manual, repetitive analytics work with AI.
  • Propose and maintain a rolling technical roadmap for AI and data science work in the analytics function.
  • Write the SQL/Python needed to support your own models and analysis.
  • Champion data governance and AI-readiness practices.
  • Partner with business stakeholders to scope problems, and with IT/engineering/data platform teams to ensure AI and automation initiatives are supportable at scale.
  • Pair with and review the work of other analysts applying data science and AI methods.

Requirements

  • 7+ years of experience across data science, applied AI/ML, or advanced analytics.
  • Bachelor's degree in statistics, computer science, math, or a related field.
  • Strong Python skills for data science and automation.
  • Hands-on experience building with LLMs and AI agents.
  • Strong SQL skills.
  • High adaptability.
  • Excellent communication skills.
  • Strong ownership mindset.

Nice to Have

  • Experience with agent orchestration frameworks.
  • Experience with MLOps practices.
  • Exposure to data governance, semantic data modeling, or data classification concepts.
  • Familiarity with cloud data warehouses and orchestration tools.
  • Practical experience applying statistical or ML techniques to business problems.

We Offer

  • Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
  • Growth: We give you the space and support to grow along with us and to contribute to something meaningful.
  • Team: We build each other up and set aside ego for the greater good.
  • Flexible time off, wellness resources, and company-sponsored team events.

About the Company

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Join us and bring your best. Bring your bold. Pure and simple.

© Pure Storage Germany. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

More at Pure Storage Germany

All 360 roles

Popular searches