Senior Analytics & Insights Associate

Vizient; Irving (TX); On-site; USD 89,000 - 156,000; Full time

Job summary

Vizient in Irving, TX seeks a senior healthcare analytics professional to lead complex analytics projects translating client needs into well-defined methodologies, data requirements and actionable insights. You will collaborate with the LSI and RAIN teams, consultants and statisticians to deliver analyses supporting strategic decisions and real-world evidence generation.

You will develop advanced SQL queries, validate data quality, and apply AI tools such as Databricks Genie to improve

Qualifications

• Advanced degree preferred in Healthcare Administration, Health Informatics, Data Analytics, or related field.
• 5+ years of relevant experience.
• Experience with healthcare clinical, administrative, claims, or similar datasets.
• Experience with Vizient Clinical Database, Operational Database, Procedural Analytics, or other Vizient data products preferred.
• Advanced SQL and relational database skills preferred.
• Knowledge of healthcare provider and/or payer environments preferred.
• Experience with Databricks preferred.

Responsibilities

• Lead the execution of complex analyses using healthcare clinical, administrative, claims, and other datasets.
• Develop and document advanced analytic methodologies, including cohorts, outcome definitions, segmentation, and project-specific logic.
• Develop, troubleshoot, and optimize advanced SQL queries across databases and platforms.
• Investigate data anomalies and edge cases; evaluate solutions and recommend approaches.
• Translate client needs into analytic requirements, methodologies, and deliverables.
• Collaborate with consultants, statisticians, and experts to align methodologies with project objectives.
• Identify project risks and data limitations; propose solutions.
• Apply data-quality and QA practices to validate outputs.
• Provide analytic guidance to ensure high-quality execution across projects.
• Use generative AI tools, including Databricks Genie, to improve efficiency and quality.

Skills

Advanced SQL

Relational databases

Databricks

Data analytics

Healthcare analytics

Education

Advanced degree in healthcare administration or related field

Healthcare informatics or data analytics

Tools

Databricks Genie

Vizient data products

Job description

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will lead the execution of complex healthcare analytics projects that translate client needs into well-defined analytic methodologies, data requirements, and actionable insights. You will navigate complex analytical and data challenges while collaborating with the Life Sciences & Industry Solutions (LSI) and Research Analytics and Insights (RAIN) teams, business consultants, statisticians, and other subject matter experts to deliver high-quality analyses that support strategic decision-making, clinical quality improvement, and real-world evidence generation.

Responsibilities

• Lead the execution of complex analyses using large healthcare clinical, administrative, claims, and other relevant datasets.
• Develop and document advanced analytic methodologies, including patient and provider cohorts, custom outcome definitions, segmentation approaches, and project-specific analytical logic.
• Develop, troubleshoot, and optimize advanced SQL queries across relational databases, data products, and platforms.
• Investigate complex data anomalies, unexpected results, and edge cases; evaluate potential solutions and recommend appropriate approaches.
• Translate complex client needs and business questions into clear analytic requirements, methodologies, and deliverables.
• Collaborate with business consultants, statisticians, and other subject matter experts to align analytic methodologies and data definitions with project objectives.
• Identify project risks, data limitations, methodology questions, and potential timeline impacts and recommend solutions proactively.
• Apply rigorous data-quality and quality-assurance practices to validate analytic outputs and ensure accurate, reliable deliverables.
• Provide analytic guidance and share best practices to support consistent, high-quality execution across projects.
• Use approved generative AI tools, including Databricks Genie, to improve efficiency and quality across SQL development, documentation, research, methodology development, and quality assurance.

Qualifications

• Relevant degree preferred. Advanced degree in Healthcare Administration, Health Informatics, Data Analytics, or related field preferred.
• 5 or more years of relevant experience required.
• Experience working with healthcare clinical, administrative, claims, or similar datasets required.
• Experience with Vizient Clinical Database, Operational Database, Procedural Analytics, or other Vizient data products highly preferred.
• Advanced SQL and relational database skills highly preferred.
• Strong knowledge of the healthcare provider and/or payer environment preferred.
• Experience with Databricks preferred.

Estimated Hiring Range

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $88,900.00 to $155,500.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.