トレンド企業

Pure Storage
Pure Storage

Platform Analytics Engineer

職種データ分析
経験ミドル級
勤務地Prague, Czechia
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Python

SQL

Git

Airflow

Machine Learning

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

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.

THE ROLE

The Platform Analytics team sits within the Flash Array and Flash Blade organization and turns rich telemetry from Everpure’s hardware and software into actionable insights.

  • Focus on hardware and systems analytics, using data from physical devices rather than traditional business metrics.

  • Help engineering and leadership understand fleet health, reliability, and performance so they can make better product and roadmap decisions.

  • Work closely with hardware, software, and support teams to close the loop between what our systems do in the field and how we design, test, and improve them.

  • Be part of an inclusive, collaborative team that values a diversity of backgrounds, perspectives, and career paths.

WHAT YOU'LL DO

As an Analytics Engineer:

on the Platform Analytics team, you will: - Define, build, and evolve ouranalytics architecture and tools to capture, process, and automate hardware and software events at scale.

  • Design and maintain data pipelines and ETL that transform raw telemetry into reliable, analysis‑ready datasets.

  • Apply data analysis and statistical techniques to improve performance, reliability, and robustness of our hardware platforms and software releases.

  • Build dashboards, alerts, and other data products that enable engineering and leadership to make data‑driven decisions.

  • Lead and drive data‑driven projects and programs from exploration through delivery, partnering with hardware and software engineering teams.

  • Analyse complex systems data and recommend business decisions and strategy to hardware engineering leadership.

  • We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.WHAT YOU BRING

  • Strong, hands‑on experience using Python in data/analytics or similar engineering environments.

  • Strong experience using SQL, including writing complex queries and working with large datasets.

  • Experience with databases(Snowflake or similar analytical databases highly desirable).

  • Experience with modern engineering tooling such as Git and Jenkins/Airflow (or similar orchestration tools).

Industry experience implementing machine learning models

, including:- Evaluating modelaccuracy and precision.

  • Understanding how features impact model behaviour and performance.

  • Comparing and assessing different ML algorithms for a given problem.

  • Background in statistical analysis (e.g., anomaly detection, data quality assessment) is highly desirable.

  • Excellent verbal communication and collaboration skills, with the ability to work across hardware, software, and business stakeholders.

INCLUDE FOR POSTING LOCATION IDENTIFICATIONWHAT YOU CAN EXPECT FROM US:

  • 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. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!

  • Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), 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.

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Pure Storageについて

Pure Storage

Pure Storage provides all-flash data storage arrays and software for enterprises and cloud service providers. The company focuses on high-performance storage solutions that reduce data center footprint and energy consumption.

1,001-5,000

従業員数

Mountain View

本社所在地

$3.5B

企業価値

レビュー

10件のレビュー

3.9

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.5

72%

知人への推奨率

良い点

Innovative/cutting-edge technology

Great learning and training opportunities

Supportive and collaborative team

改善点

Fast-paced/stressful environment

Work-life balance challenges

Management communication and direction issues

給与レンジ

19件のデータ

Senior/L5

Senior/L5 · Customer Intelligence Data Scientist

1件のレポート

$277,200

年収総額

基本給

$214,000

ストック

-

ボーナス

-

$277,200

$277,200

面接レビュー

レビュー3件

難易度

3.0

/ 5

内定率

33%

体験

ポジティブ 0%

普通 67%

ネガティブ 33%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Technical Interview

4

Behavioral Interview

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience