Senior 340B Analytics Lead

RXinsider LTD.

Irving, Northern (TX, KY)

Hybrid

USD 77,000 - 135,000

Full time

3 days ago

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Job summary

Vizient in Irving, TX, seeks a seasoned data analytics professional to support the 340B sourcing and contracting team. You will analyze purchasing data, develop insights, and help shape value propositions and contracts.

The role requires advanced SQL, Excel, and BI tool experience, with 7+ years in pharma/healthcare analytics. You will build dashboards, track KPIs, and translate business needs into technical solutions.

Qualifications

Relevant degree preferred (e.g., Business Analytics, Finance, Statistics, etc.).
7 or more years of relevant experience required, with a preference for the pharma/healthcare industry.
Advanced knowledge of SQL and MS Excel required.
Experience with SQL Server Management Studio or similar SQL Query Utility tools is a plus.
Python or R skills are a plus. Experience with business intelligence tools (e.g., MicroStrategy, Power BI) preferred.
Excellent communication, project management, and problem-solution skills.
Ability to participate in cross-functional projects and interact with business stakeholders while collaborating with business analysts, data engineers, and data scientists.

Responsibilities

Develop a deep understanding of data sets to generate insights into contract optimization, segmentation, purchasing patterns and other 340B marketplace trends.
Familiarity with complex financial analysis, required
Analyze complex datasets to identify trends, patterns, benchmarks, and other insights that can drive business decisions or identify opportunities and threats.
Use statistical methods and data analysis tools to perform detailed quantitative analysis (e.g., optimization, segmentation, regression, etc.).
Query our various databases for information and produce clear, cohesive stories from that data.
Create and maintain dashboards, reports, and other resources to track key performance indicators (KPIs).
Develop a comprehensive method for tracking and visualizing progress on our team goals.
Act as a resource for the internal team in the area of data analysis and leveraging data for better decision-making.
Communicate both technically and in lay terms and translating business needs into technical components and vice versa.
Support our strategic framework and team projects with data analytics requests.