Security Analytics Engineer

Recruitment Fraud Alert

We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number.  

What to know:

• Commvault does not conduct interviews by email or text.


• We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day.

If you suspect a recruiting scam, please contact us at [email protected] 

About Commvault 

Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. 

The Opportunity

At Commvault, we believe great decisions are driven by great data. As a Security Analytics Engineer, you will play a key role in designing, enhancing, and maintaining custom security dashboards that bring together data from across security tools and other IT environments.

These dashboards will provide both technical and business leaders with clear, actionable insights—highlighting what’s working, where to focus, and how to continuously improve. You’ll collaborate closely with cross-functional teams to define meaningful metrics and shape how success is measured, visualized, and communicated across the organization

What You’ll Do

• Design, build, and maintain Power BI dashboards and reports that deliver clear visibility into operational, security, and engineering performance.


• Partner with security leadership and stakeholders to define meaningful KPIs and metrics, translating business needs into actionable Power BI insights.


• Develop and optimize Power BI data models (semantic models), DAX measures, and Power Query (M) transformations to ensure accurate, scalable reporting.


• Integrate and consolidate data from multiple systems (APIs, databases, flat files) into Power BI datasets and dataflows for a unified, reliable view.


• Create intuitive, interactive visualizations and reports tailored for both technical teams and executive audiences.


• Improve data quality, governance, and documentation within the Power BI environment.


• Automate reporting through scheduled refreshes, dataflows, and Power BI Service, reducing manual data collection.


• Continuously iterate on dashboards using stakeholder feedback and evolving business requirements.


• Monitor and maintain the health, performance, and reliability of the Power BI reporting ecosystem.

Who You Are

• 4+ years of experience in BI, analytics, or data engineering, with strong hands-on Power BI expertise.


• Deep experience with Power BI (Desktop & Service), including DAX, Power Query (M), and data modeling best practices.


• Strong SQL skills with the ability to shape and transform data for analytics.


• Experience integrating data from diverse sources (APIs, databases, flat files) into Power BI.


• Proven ability to define metrics, build semantic models, and validate data accuracy.


• Able to translate ambiguous business questions into clear, actionable Power BI dashboards.


• Strong collaboration skills, comfortable working with both technical teams and executive stakeholders.


• Familiarity with broader BI tools (Tableau, Looker, etc.) is a plus, but Power BI is your core strength.

Nice to Have

• Familiarity with cloud data platforms and modern data pipelines.


• Exposure to SaaS or cloud-native environments.


• Interest in turning metrics into stories that drive action.