Data Analyst - SQL / Databricks

Tenable is an Exposure Management company that provides cybersecurity solutions to organizations worldwide. The Data Analyst will turn operational and customer data into actionable reports and dashboards, partner with business stakeholders to gather requirements, and build data assets in Databricks. The role also involves writing SQL views, documenting metadata for AI-assisted querying, validating report accuracy, monitoring data quality, and maintaining reporting documentation.

Responsibilities:

• You will have the opportunity to build and scale the business reporting layer within Databricks
• You will be part of a globally distributed team of data professionals
• This role is designed for someone who wants to grow their analytical skills in a collaborative, business facing environment
• Leverage modern AI coding agents, such as Databricks' Genie or Claude, to assist in writing and optimizing your queries

Requirements:

• 2 to 4 years of experience in a business intelligence, reporting, or data analyst role
• Fundamental working proficiency in SQL, including an understanding of select statements, order of operations, joins, aggregations, and filtering
• Basic to working proficiency with Databrick, a comparable lakehouse, or cloud data platform such as Snowflake
• Experience building dashboards and presenting data visually using tools like Databricks native dashboards, Tableau, Power BI, or Looker
• Strong written and verbal communication skills to effectively gather requirements from non-technical business stakeholders and translate them into usable data assets
• A detail oriented mindset with comfort in documenting data objects, definitions, and logic for downstream users
• Prior experience writing table and column descriptions or metadata to support data catalogs, semantic layers, or natural language query tools
• Exposure to Python or PySpark within Databricks notebooks, which will give you a significant advantage for career progression on this specific team
• Familiarity with analytics engineering practices, such as dbt, or version control systems like Git
• Experience working in enterprise software, SaaS, or cybersecurity environments