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United States
Remote only
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What to know:
If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com
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...
The Analytics Engineer develops trusted analytical datasets, semantic models, governed metrics, and reusable reporting assets that enable enterprise reporting, self-service analytics, and AI-enabled experiences.
Working across business domains, Data Engineering, Data Governance, and platform teams, this role translates business concepts into consistent data models and measures while ensuring analytical assets are secure, performant, documented, and supportable.
What You'll Do...
Semantic Modeling & Governed Metrics
· Design, build, test, and maintain semantic models using Microsoft Fabric and Power BI.
· Develop dimensional models, measures, KPIs, hierarchies, calculations, and reusable analytical components.
· Translate business definitions and reporting requirements into consistent, governed analytical models.
· Optimize model relationships, DAX calculations, refresh strategies, aggregations, and query performance.
· Apply naming, versioning, documentation, and change-control standards to semantic assets.
Analytics Engineering & Delivery
· Develop curated Gold-layer datasets and analytical views in collaboration with Data Engineering.
· Build and maintain reusable SQL transformations, validation routines, and data reconciliation controls.
· Support migration and modernization of existing reports and models with minimal disruption to business users.
· Participate in design reviews, testing, deployment, incident resolution, and production support.
Data Governance & AI Readiness
· Document business definitions, ownership, metadata, lineage, quality expectations, and approved usage.
· Partner with Data Governance to align semantic assets with glossary terms, classifications, access policies, and certification processes.
· Prepare trusted datasets and metrics for predictive analytics, generative AI, copilots, agents, and retrieval use cases.
· Help ensure AI solutions consume authoritative data sources and approved enterprise metrics.
Stakeholder Partnership & Continuous Improvement
· Work with Finance, GTM, Product, Customer, Workforce, and other domain stakeholders to clarify analytical needs.
· Explain model behavior, data limitations, and metric logic to technical and nontechnical audiences.
· Create reusable patterns, technical documentation, and knowledge-sharing materials.
· Identify opportunities to simplify models, improve user experience, increase reuse, and reduce reporting duplication.
Who You Are...
Essential Skills & Experience
· 2+ years of experience in analytics engineering, business intelligence, semantic modeling, data analysis, or related disciplines.
· Strong SQL skills and practical experience with dimensional modeling and analytical data structures.
· Hands-on experience with Power BI and/or Microsoft Fabric semantic models, including DAX.
· Experience designing and supporting enterprise reports, datasets, or semantic models across multiple subject areas.
· Understanding of data quality, metadata, lineage, access control, testing, and release management.
· Ability to translate business requirements into clear technical designs and communicate effectively with stakeholders.
· Bachelor's degree in Computer Science, Information Systems, Analytics, Engineering, or a related field; equivalent practical experience will be considered.
Preferred Skills & Experience
· Experience with Databricks, Delta Lake, medallion architecture, or dbt-style transformation practices.
· Experience with Microsoft Purview, Unity Catalog, Azure DevOps, or GitHub.
· Familiarity with AI-ready datasets, retrieval-augmented generation, or governed data consumption for AI applications.
· Experience supporting enterprise Finance, GTM, Product, Customer, or Workforce analytics domains.
You’ll love working here because...
Ready to #makeyourmark at Commvault? Apply now!
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Thank you for your interest in Commvault. Reflected below is the minimum and maximum base salary range for this role. At Commvault we use broad salary ranges in our job postings to reflect the diverse levels of expertise and experience among our candidates and is not reflective of the total compensation and benefits package. The specific salary offered will be determined based on your unique qualifications, including your relevant experience, skills, and the value you bring to the role. While the range provides a general idea of the compensation, it is important to note that placements within the range are not automatic and will be carefully considered to ensure a fair and competitive offer. We are committed to rewarding talent and experience.
Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work.
Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com.