About the job
Join us at the forefront of technological innovation as we revolutionize the data storage industry. Here, your innovative mindset will thrive, and you will grow alongside some of the industry's brightest minds.
If you're eager to embrace endless opportunities and make a significant impact, we invite you to become part of our team.
THE ROLE
We are seeking a talented Business Intelligence/Data Analyst to join our Research & Development Business Intelligence team. In this dynamic and fully remote role, you will be pivotal in creating and maintaining high-performance dashboards, visualizations, and reports that provide vital insights to both customers and internal stakeholders.
Your contributions will help turn complex data discovery and classification results into actionable insights, collaborating closely with various internal and external stakeholders and enterprise clients to manage their data in intricate environments while meeting data privacy, security, and governance standards.
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 unveil sensitive data and deliver actionable insights for informed business decisions.
- Collaborate with product owners, business stakeholders, customers, and end users to gather comprehensive reporting requirements and translate them into scalable, impactful BI solutions aligning with business objectives.
- Create and optimize advanced SQL queries to facilitate data extraction, transformation, and analysis across extensive datasets, ensuring the efficiency and scalability of reporting solutions.
- Contribute to the design and refinement of data models and semantic layers, working with data engineering to define and enhance data pipelines and transformations.
- Act as a senior contributor in BI development, engaging in architectural discussions and promoting best practices in data visualization, governance, and security.
- Ensure the accuracy, integrity, and reliability of data by implementing validation processes.

