BI Engineer

Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent.

Our Wizards from over 13 countries work together to protect the infrastructure of our hundreds of customers, including over 45% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster.

Summary

We’re looking for an experienced BI Engineer to join our Data team and spread the power of Wiz.

The team develops and maintains infrastructure for internal data analytics. We run a SaaS-based stack using Snowflake, dbt Cloud and Tableau.

What You’ll Do

• Design, develop, and maintain BI assets—data models, catalogs, dashboards, and self-service solutions.
• Support and develop data analytics solutions from end to end. From gathering business needs, developing data pipelines and models, to enabling their consumption through self-service tools.
• Support ad-hoc needs and requests of internal stakeholders.
• Collaborate with analysts, data engineers, and internal customers from Product, Finance, Revenue, and Marketing.
  
  

• 5+ years of hands-on experience as an Analyst/BI Engineer in a tech company.
• Expert-level SQL skills, capable of performing complex table transformations and designing efficient data workflows (Familiarity with dbt and Snowflake - a plus).
• Relevant experience in developing dashboards, data visualizations, and self-service tools.
• Proven track record of modeling and building scalable, well-structured data warehouse and ETL processes.
• Strong project management skills, including setting milestones and delivering results under tight timelines.
• Excellent communication and stakeholder management abilities, with a focus on collaboration and teamwork.
• Experience with cloud provider tool stack (Azure, AWS, or GCP) - a plus
• Proficiency in Python or other programming languages for data processing - a plus.