Data Analyst - SQL / Databricks
Role Overview
The Data Analyst will turn operational and customer data into reports and dashboards that drive business decisions.
The role partners with internal business teams to gather reporting requirements, document technical specifications, and build user-friendly data assets.
The role is part of the Business Intelligence organization and supports a globally distributed team of data professionals.
Key Skills for This Role
Full Job Posting
About Tenable
Tenable provides exposure management solutions used by organizations and government agencies to understand and reduce cyber risk.
Your Role
The Data Analyst will turn operational and customer data into reports and dashboards that drive business decisions.
The role partners with internal business teams to gather reporting requirements, document technical specifications, and build user-friendly data assets.
The role is part of the Business Intelligence organization and supports a globally distributed team of data professionals.
Core Responsibilities
- Write SQL views and build dashboards directly within Databricks using data populated by the engineering team.
- Add structured descriptions and metadata to tables, views, and columns so data is discoverable and accurately queried by AI tools.
- Validate report accuracy, monitor data quality, and maintain documentation of reporting logic.
- Build and scale the business reporting layer within Databricks.
- Use AI coding agents such as Databricks Genie or Claude to assist with writing and optimizing queries.
Required Qualifications
- Have 2 to 4 years of experience in business intelligence, reporting, or data analysis.
- Work a hybrid schedule with the ability to commute to the Columbia, Maryland office or the Boston, Massachusetts office three days per week.
- Have fundamental working proficiency in SQL, including select statements, joins, aggregations, filtering, and order of operations.
- Have basic to working proficiency with Databricks, a comparable lakehouse, or a cloud data platform such as Snowflake.
- Have experience building dashboards and presenting data visually with tools such as Databricks dashboards, Tableau, Power BI, or Looker.
- Have strong written and verbal communication skills for working with nontechnical business stakeholders.
- Have a detail-oriented approach to documenting data objects, definitions, and logic.
Preferred Qualifications
- Experience writing table and column descriptions or metadata for data catalogs, semantic layers, or natural-language query tools.
- Exposure to Python or PySpark within Databricks notebooks.
- Familiarity with analytics engineering practices such as dbt or version control systems such as Git.
- Experience in enterprise software, SaaS, or cybersecurity environments.
Compensation
- The US base pay range is $72,500 to $96,500 USD yearly.
- Employees may also be eligible for variable compensation and company benefits.
Workplace
- The position uses a hybrid schedule based in either Columbia, Maryland or Boston, Massachusetts, with three office days per week.
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