Databricks Data Analyst: SQL & AI-Driven Dashboards

Tenable, Inc.; New York (NY); On-site; USD 73,000 - 97,000; Full time

Job summary

Tenable, Inc. is seeking a Data Analyst in its Business Intelligence organization to transform operational and customer data into actionable reports and dashboards.

You will partner with internal teams to gather requirements, document specifications, and deliver user-friendly data assets. Responsibilities include writing SQL views, building dashboards in Databricks, and adding context with metadata to aid discovery.

Qualifications

• 2–4 years of experience in business intelligence, reporting, or data analytics.
• Strong SQL skills including select statements, joins, aggregations, and filtering.
• Experience building dashboards using Databricks, Tableau, Power BI, or Looker.
• Ability to translate requirements from non-technical stakeholders into usable data assets.
• Excellent written and verbal communication to gather requirements and present insights.
• Detail-oriented with documentation of data definitions and logic for downstream users.

Responsibilities

• Turn operational and customer data into actionable reports and dashboards.
• Write SQL views and build dashboards in Databricks.
• Add metadata and descriptions to tables, views, and columns for discoverability.
• Validate report accuracy and monitor data quality.
• Document reporting logic for long-term reliability.
• Collaborate with business teams to gather and fulfill reporting requirements.

Skills

SQL proficiency

Communication

Data analysis

Tools

Databricks

Tableau

Power BI

Looker

Snowflake

dbt

Git

Python/PySpark

Job description

Tenable, Inc. is seeking a Data Analyst in its Business Intelligence organization to transform operational and customer data into actionable reports and dashboards.

You will partner with internal teams to gather requirements, document specifications, and deliver user-friendly data assets. Responsibilities include writing SQL views, building dashboards in Databricks, and adding context with metadata to aid discovery.