Onsite Lead Analytics Engineer

Posted 4 days ago

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About the role

  • Lead the design, development, and optimization of enterprise-grade analytics solutions with a focus on Power BI, advanced data modeling, and end-to-end performance engineering.
  • Create scalable semantic models, strengthen data governance practices, and collaborate with cross-functional teams to deliver intuitive analytics that support strategic decision-making across clients.
  • Contribute to modernization initiatives and guide best practices that elevate the analytics engineering discipline.
  • Design and deliver Power BI solutions using Import, DirectQuery, and Hybrid/Direct Lake modes.
  • Develop robust semantic models, measures, and reusable components that scale across products.
  • Model data using dimensional structures and implement aggregation strategies to enhance performance.
  • Optimize performance by tuning Data Analysis Expressions (DAX), VertiPaq engine operations, data types, partitioning, and incremental refresh.
  • Configure and maintain Row-Level Security/Object-Level Security (RLS/OLS) and data masking aligned with governance standards.
  • Partner with Security and Compliance teams to support Health Insurance Portability and Accountability Act (HIPAA) and Protected Health Information (PHI) requirements.
  • Establish and maintain version control practices, quality checks, and code review standards.
  • Translate business and technical requirements into accessible, user-centered analytics experiences.
  • Implement telemetry and observability practices to monitor usage, refresh cycles, and performance metrics.
  • Support modernization efforts by contributing templates, themes, calculation groups, and migration from legacy BI platforms.

Requirements

  • Relevant degree preferred.
  • 7 or more years of relevant experience required.
  • Expertise designing Power BI solutions, including semantic models, DAX, and performance tuning required.
  • Strong SQL and data modeling skills, including indexing, statistics, and partitioning are required.
  • Experience with RLS/OLS, lineage, auditability, and data governance practices required.
  • Ability to translate business logic into validated metrics and partner effectively with cross-functional teams required.
  • Proficiency with Tabular Editor, DAX Studio, and related tabular modeling tools highly preferred.
  • Familiarity with MicroStrategy and BI modernization approaches preferred.
  • Familiarity with Microsoft Fabric, Azure data services, or Databricks preferred.
  • Willingness to travel.

Benefits

  • Vizient has a comprehensive benefits plan!

Job title

Lead Analytics Engineer

Job type

Experience level

Senior

Salary

$102,400 - $179,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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