Business Intelligence Engineer
Pure StoragePrague, Czech RepublicPosted 1 May 2026
Job Description
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
We are looking for a BI/Data Analyst to join our RD Business Intelligence team. As a key member of a fast-paced, fully-remote environment, you will work on building and maintaining high-performance dashboards, visualisations, and reports that deliver critical insights to customers and internal stakeholders.
You will play a pivotal part in transforming discovery and classification results into actionable insights, working closely with various internal/external stakeholders and enterprise customers to control their data across complex environments and meet evolving data privacy, security, and governance requirements.
WHAT YOU'LL DO
Design, develop, and maintain complex, interactive dashboards and self-service reports using BI tools (e.g., Looker , Power BI, Tableau) to surface sensitive data and deliver actionable insights for business decision-making
Work closely with product owners, business stakeholders, customers, and end users to gather detailed reporting requirements and translate them into scalable, impactful BI solutions that align with business objectives
Write and optimize advanced SQL queries to support data extraction, transformation, and analysis across large datasets, ensuring high performance and scalability of reporting solutions
Contribute to the design and evolution of data models and semantic layers, and collaborate with data engineering to define and improve data pipelines and transformations
Act as a senior contributor in BI development, participating in architectural discussions and driving best practices in data visualization, governance, and security
Ensure data accuracy, integrity, and reliability by implementing validation and testing approaches across dashboards, reports, and underlying data
We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
Experience designing and evolving scalable business intelligence solutions, including data models, semantic layers, and reporting frameworks
Advanced proficiency in SQL and working with large-scale data in cloud data warehouse or lakehouse environments (e.g., BigQuery, Snowflake, Redshift, or similar)
Experience building and maintaining robust dashboards and reporting systems using modern BI tools (e.g., Looker, Tableau, Power BI, or similar)
Strong understanding of data modeling and transformation practices (e.g., ETL/ELT, dimensional modeling) and their impact on performance and usability
Experience contributing to cloud-based data architecture and analytics workflows, including defining and improving best practices
Ability to establish and uphold data quality, governance, and reliability standards
Ability to translate complex business needs into data solutions and communicate insights clearly across technical and non-technical audiences
#LI-ONSITE
WHAT 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 reso ... (truncated, view full listing at source)
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