Data Analytics Engineer

Commvault is hiring a Data Analytics Engineer to develop trusted analytical datasets, semantic models, governed metrics, and reusable reporting assets. The role partners with business, data engineering, governance, and platform teams to deliver secure, performant, documented analytics that support enterprise reporting, self-service analytics, and AI-enabled experiences.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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
• 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