Senior Analyst

Vizient•Irving, TX

About The Position

In this role, you will transform complex financial data into actionable insights that support strategic decision-making across Vizient’s Spend Management BU. You will partner with sales, finance, and operational clients to advance business intelligence capabilities, improve data quality, and enable performance management through scalable reporting and analytics. You will modernize reporting through automation and Power BI solutions while supporting emerging AI-enabled analytics within CNAF and Member Value reporting.

Requirements

5 or more years of relevant experience required.
Bachelor’s degree in Finance, Analytics, Business, or related field preferred.
Proficiency in SQL, Excel, and Power BI or similar business intelligence tools.
Strong ability to translate complex data into actionable insights and communicate findings to business stakeholders.
Experience building automated dashboards and scalable reporting solutions.
Strong analytical and problem-solving skills with experience in data validation, anomaly detection, and root cause analysis.
Experience working with sales, revenue, or financial data.
Highly organized with strong attention to detail and ability to manage multiple priorities.

Nice To Haves

Relevant degree preferred.
Familiarity with AI tools, automation, or advanced analytics techniques preferred.

Responsibilities

Partner with Spend Management, Finance, and cross-functional clients to support sales planning, territory design, and performance management initiatives.
Provide financial and operational analysis of GAF and CNAF to support forecasting, budgeting, and strategic decision-making.
Lead recurring business reviews by delivering executive-ready insights on performance drivers, trends, and risks.
Develop, maintain, and enhance Power BI dashboards and reporting solutions to improve data accessibility and visibility.
Drive automation and scalability of reporting processes by converting manual activities into efficient, repeatable solutions.
Ensure accuracy and integrity of data through validation, anomaly detection, and root cause analysis.
Identify and resolve data gaps, reporting issues, and upstream data inconsistencies in collaboration with internal and external clients.
Support the standardization and enhancement of Member Value reporting methodologies, tracking, and transparency.
Integrate automation and AI-enabled insights to improve reporting efficiency and strengthen business understanding.
Communicate insights and recommendations that help stakeholders understand performance drivers and take informed action.