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# Sr Analytics Engineer

- **Company:** Vizient, Inc.
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $88,900.0 - $155,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Health Informatics, Extract Transform Load (ETL), Data Transformation, Data Presentation, Data Systems, Data Visualization, R (Programming Language), Python (Programming Language), Power BI, Microsoft Copilot, SQL Databases, Tableau (Software), Strategies of Testing, Powerquery, Data Analytics, Claude, Semantic Modeling, GPT, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://diversityjobs.com/career/18636140/Sr-Analytics-Engineer-Texas-Irving

## About the Role

* Relevant degree preferred.
 * 5 or more years of relevant experience required.
 * Advanced proficiency in Power BI, including semantic modeling, DAX, Power Query, and enterprise dashboard development.
 * Strong SQL development, data modeling, and data transformation skills with experience working across multiple data sources and technology platforms.
 * Experience gathering business requirements, developing user stories, and delivering analytics solutions within Agile development frameworks.
 * Strong analytical, problem-solving, and data visualization skills with the ability to translate complex information into actionable insights.
 * Experience with Python, R, automation technologies, or AI-enabled tools such as Microsoft Copilot, ChatGPT, or Claude preferred.
 * Knowledge of data orchestration, ETL processes, data quality validation, and enterprise analytics architecture preferred.
 * Excellent communication, project leadership, and cross-functional collaboration skills with the ability to influence outcomes and mentor team members.
 * Healthcare analytics experience and familiarity with additional visualization platforms such as Tableau preferred.

## Description

In this role, you will design, develop, and optimize complex analytics solutions, data models, dashboards, and reporting products that enable data-driven decision-making across Vizient. You will collaborate with cross-functional teams to translate business requirements into scalable analytics solutions, provide technical leadership in data modeling and visualization, and drive improvements in data quality and operational efficiency. You will leverage advanced analytics technologies and best practices to deliver innovative, reliable solutions that support strategic objectives and measurable business outcomes., * Design, develop, and maintain complex analytics products, dashboards, reports, and data solutions across multiple technology platforms and data sources.

 * Build and optimize Power BI semantic models, dashboards, and reports using DAX, Power Query, SQL, and data visualization best practices.
 * Develop scalable logical and physical data models, optimize data transformations, and maintain data integrity to support enterprise analytics needs.
 * Translate client requirements into technical specifications, user stories, and prioritized product backlogs to guide analytics solution development.
 * Lead feature-level solution design, visualization strategy, and data storytelling initiatives to improve usability, adoption, and decision-making.
 * Develop and execute testing strategies, validate analytics outputs, resolve data quality issues, and recommend enhancements to ensure solution accuracy and reliability.
 * Leverage advanced analytics tools, Python, automation technologies, and AI-enabled solutions to address complex business challenges and improve operational efficiency.
 * Manage analytics project plans, timelines, dependencies, and risks while coordinating cross-functional teams to ensure successful delivery.
 * Identify opportunities to enhance data processes, analytics architectures, and development practices while implementing scalable improvements across teams.
 * Provide technical guidance, mentorship, and knowledge sharing to team members while collaborating with clients and leadership to align analytics solutions with organizational objectives.