Sr. Power BI Intelligence Analyst

McKesson•Work at Home - Texas, USA (WTXA), TX
•$114,200 - $190,400•Remote

About The Position

The US Oncology Network’s IMPACT Analytics Data Visualization team is seeking a Senior Business Intelligence Analyst to shape how data is transformed into actionable insights across the Network. This role partners strategically with business stakeholders, translating complex analytical needs into scalable, high-quality business intelligence solutions that improve operational performance, inform decisions, and enable growth. The position uses data analysis, visualization, programming, and large, complex datasets to support analytics solutions throughout their lifecycle—from requirements and development through testing, deployment, and ongoing refreshes. It emphasizes data quality, user experience, reliability, governance, and business adoption. The analyst also develops business and healthcare domain expertise, communicates findings to stakeholders and senior leaders, and contributes to team standards and continuous improvement. The role is remote/work-from-home, with general office demands and domestic travel of up to 10%. Candidates must be authorized to work in the United States; sponsorship is unavailable. The base pay range is $114,200–$190,400. Additional compensation, such as an annual bonus or long-term incentive opportunities, may be offered.

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.
  • 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.
  • 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.
  • Excellent communication, presentation, and interpersonal skills.
  • Ability to translate complex data and technical concepts into clear, actionable business insights.
  • 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 solving problems and developing new capabilities.
  • 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 throughout the complete development lifecycle, including requirements, development, testing, deployment, and ongoing support.
  • Commitment to continuous learning and professional growth.

Responsibilities

  • Own, maintain, and continuously enhance reporting, analytics solutions, and data products to support accuracy, reliability, scalability, and business value.
  • Develop new analytics and business intelligence solutions for emerging business questions, 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 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 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 on analytical findings, business performance, and strategic topics.
  • Partner with internal and external stakeholders on strategic initiatives and long-term analytics projects.
  • Build relationships and collaborate across a matrixed organization with stakeholders who have diverse priorities, goals, and technical expertise.
  • Influence decision-making through data and analytics, including where direct authority may not exist.
  • Develop technical, analytical, business, and healthcare domain expertise and stay current with technologies, analytical 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.

Benefits

  • Competitive compensation package as part of McKesson’s Total Rewards.
  • Annual bonus or long-term incentive opportunities may be offered.
  • Benefits are referenced, but specific benefit offerings are not listed in the posting.
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