Sr. Power BI Intelligence Analyst

McKesson•Usa, TX

1d•Remote

About The Position

The US Oncology Network’s IMPACT Analytics Data Visualization team is seeking a Senior Business Intelligence Analyst to help transform data into actionable insights across the Network. The role partners strategically with business stakeholders to translate complex analytical needs into scalable, high-quality business intelligence solutions that improve operational performance, inform decision-making, and support continued growth. The analyst uses data analysis, visualization, programming, and large-dataset capabilities to support the full lifecycle of analytics solutions, from requirements and development through testing, deployment, and ongoing refreshes. The role emphasizes data quality, user experience, reliability, governance, and business adoption, while building expertise in Network growth drivers, provider referrals and relationships, emerging markets, and operational performance. This is a remote, work-from-home role with general office demands and domestic travel of up to 10%. Candidates must be authorized to work in the United States; sponsorship is not available. McKesson offers a competitive compensation package. The base pay range is $114,200–$190,400, and annual bonus or long-term incentive opportunities may also be offered. Benefits information is available through McKesson.

Requirements

Degree or equivalent and typically 7+ years of relevant experience.
Bachelor’s degree or equivalent relevant experience in Data Analytics, Informatics, Business, Healthcare, Computer Science, or a related field.
At least 7 years of experience in business intelligence, reporting, data analytics, or a related analytical discipline.
Advanced experience with business intelligence and data visualization platforms, including Power BI and Tableau.
Advanced SQL skills and experience working with relational and/or dimensional data models.
Demonstrated experience working with large, complex datasets and developing production-ready analytics solutions.
Experience gathering requirements and translating complex business needs into scalable analytical and reporting solutions.
Strong analytical and problem-solving skills, including identifying trends, investigating data issues, and translating findings into actionable insights.
Strong written and verbal communication skills, including presenting analytical findings and recommendations to senior leaders and business stakeholders.
Ability to manage multiple analytics initiatives, priorities, and stakeholders in a collaborative, matrixed environment.
Advanced proficiency with Microsoft Excel and PowerPoint.
Must be authorized to work in the United States; sponsorship is not available.

Nice To Haves

Experience working with healthcare data or within a healthcare practice, provider network, or similar healthcare environment.
Experience with Databricks and modern cloud-based data platforms.
Experience with Python or another analytical programming language.
Experience with cloud computing platforms such as Azure, AWS, or GCP.
Experience with forecasting, regression, classification, simulation, or other advanced analytical techniques.
Experience with data science, machine learning, AI, or AI-enabled analytics.
Experience working in Agile and virtual team environments.
Experience with dimensional modeling, data governance, and business intelligence development best practices.
Experience supporting analytics solutions through the complete development lifecycle, including requirements, development, testing, deployment, and ongoing support.
Excellent communication, presentation, and interpersonal skills.
Strong analytical thinking and structured problem-solving ability.
Ability to translate complex data and technical concepts into clear, actionable business insights.
Highly collaborative and comfortable navigating a matrixed organization.
Strong attention to data quality, accuracy, usability, and user experience.
Ability to balance technical depth with business understanding and strategic thinking.
Ability to work independently while contributing effectively within a team.
Intellectual curiosity and a proactive, positive approach to problem-solving and developing new capabilities.
Commitment to continuous learning and professional growth.

Responsibilities

Own, maintain, and enhance existing reporting, analytics solutions, and data products to ensure accuracy, reliability, scalability, and business value.
Develop new analytics and business intelligence solutions that address emerging business questions and support Network growth and strategic priorities.
Design and deliver standardized, production-ready, scalable analytics products using Power BI, Tableau, and other analytical technologies.
Partner with stakeholders to translate business questions and requirements into analytical solutions and actionable insights.
Identify opportunities to enhance, automate, or modernize analytics products and processes.
Analyze data trends, investigate anomalies, troubleshoot reporting issues, and communicate findings and recommendations to business partners.
Develop business and subject matter expertise, including understanding Network growth drivers, provider referrals and relationships, emerging markets, and operational performance.
Use enterprise data platforms and analytical tools to develop trusted, reusable analytics products.
Support appropriate access and governance for business intelligence solutions in accordance with data sensitivity and information security standards.
Source, transform, validate, and manage complex datasets for analytics solutions and data products.
Gather business and technical requirements and translate them into scalable reporting, analytics, and automation solutions.
Contribute technical and subject matter expertise to the development and effective use of enterprise data platforms.
Identify opportunities to automate data preparation, reporting, quality validation, and analytical processes.
Document analytics solutions, methodologies, data definitions, and processes.
Capture and share development standards, best practices, and reusable approaches across the analytics team.
Support data quality efforts and help ensure analytics products are accurate, consistent, and reliable.
Communicate analytical findings through written summaries, visualizations, presentations, and recommendations.
Develop and deliver presentations to stakeholders and senior leaders about analytical findings, business performance, and strategic topics.
Partner with internal and external stakeholders on strategic initiatives and long-term analytics projects.
Build trusted relationships across a matrixed organization and collaborate with stakeholders who have diverse priorities, goals, and levels of technical expertise.
Influence decision-making through data and analytics, including where direct authority may not exist.
Develop technical, analytical, business, and healthcare domain expertise; stay current with technologies, techniques, visualization practices, and industry trends.
Evaluate approaches and technologies that can improve analytics capabilities, efficiency, and user experience.
Contribute to team standards, knowledge sharing, innovation, and continuous improvement initiatives.