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Data Analyst – SQL / Databricks

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23 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

Tenable is seeking an early-career Data Analyst to build business reporting assets within its Business Intelligence organization. The role centers on writing SQL views, creating Databricks dashboards, validating data quality, and documenting reporting logic and metadata. The analyst will work directly with business stakeholders, including sales compensation teams, to turn operational and customer data into usable reports. The position is hybrid, requiring commuting to either Columbia, Maryland or Boston, Massachusetts three days per week, and requires U.S. work authorization. Experience with Databricks or comparable cloud data platforms, dashboarding tools, and AI-assisted querying is especially relevant.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

3/5
EasyHard

Pace & Pressure

3/5
RelaxedFast-paced

Autonomy Level

3/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a junior-to-mid-level analytics role requiring solid SQL, dashboard development, and careful data documentation rather than advanced data science or platform engineering. Difficulty is increased by stakeholder-facing requirements gathering, data-quality validation, and the emerging metadata/context-engineering work for AI query tools.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$84,500
US market range$70k–$105k
AI insightThe disclosed yearly base-pay range is $72,500 to $96,500 USD, producing a midpoint of $84,500. This is broadly competitive for a U.S.-based Data Analyst with 2–4 years of BI, SQL, dashboarding, and Databricks-adjacent experience; broader market pay is estimated at $70,000–$105,000 annually, depending on location, platform expertise, and industry.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you approach building a dashboard for a business team that has not clearly defined its metrics?

I would start with stakeholder interviews to understand the decisions the dashboard must support, the audience, update frequency, and definitions of success. I would document proposed metrics, dimensions, source tables, assumptions, and edge cases, then validate a prototype with users before productionizing the dashboard.

Describe how you would validate the accuracy of a SQL-based report.

I would reconcile aggregates to trusted source reports or raw records, test joins for duplicate or missing rows, and review filter logic and time boundaries. I would also build reasonableness checks, investigate unexpected changes, document validation results, and obtain stakeholder confirmation for key metrics.

What practices would you use to make a table or view easier for an AI tool and other analysts to query correctly?

I would add clear table and column descriptions, define business terms and calculation logic, identify grain and refresh cadence, and label sensitive or deprecated fields. I would use consistent naming conventions and include example use cases so users and natural-language tools have the context needed to select fields correctly.

How would you optimize a slow SQL query in Databricks?

I would first inspect the query plan and identify large scans, expensive joins, skew, or unnecessary shuffles. I would reduce selected columns and rows early, confirm appropriate join conditions, use aggregations strategically, and consider partitioning, clustering, or reusable optimized views where supported by the platform.

How do you communicate a data limitation to a non-technical stakeholder?

I would explain the limitation in terms of its business impact, such as what decision or interpretation may be affected, rather than focusing only on technical details. I would clearly state what is known, what is uncertain, the recommended workaround, and the plan and timeline for resolving the issue.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Who is Tenable?

Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!

What makes Tenable such a great place to work?

Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc

Your Role:

As a Data Analyst in our Business Intelligence organization, you will turn operational and customer data into actionable reports and dashboards that drive business decisions. You will partner directly with internal business teams, such as sales compensation, to gather reporting requirements, document technical specifications, and build user friendly data assets.

Your primary hands-on work will involve writing SQL views and building dashboards directly within Databricks using data populated by our engineering team. A key aspect of this role is context engineering, where you will add structured descriptions and metadata to tables, views, and columns so that our data is easily discoverable and accurately queried by AI tools like Claude. Additionally, you will validate report accuracy, monitor data quality, and maintain documentation of your reporting logic to ensure long-term reliability.

Your Opportunity:

  • 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.

What You’ll Need:

  • 2 to 4 years of experience in a business intelligence, reporting, or data analyst role.
  • To be considered for this role, you must meet one of the following criteria: Hybrid schedule with the ability to commute to our Columbia, MD office three days a week, or hybrid schedule with the ability to commute to our Boston, MA office three days a week.
  • 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.

And Ideally:

  • 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.

#LI-Hybrid #LI-LP1

This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate’s qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.

US Pay Range

$72,500—$96,500 USD

We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable – through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.


Tenable Data Consent Statement

Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:

General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice

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