Senior Business Intelligence Analyst

Essential Duties And Responsibilities

• Analyze clinical, financial, and operational data to uncover trends, patterns, and opportunities for performance improvement.
• Conduct root cause analysis to identify the underlying reasons for trends or anomalies in the data and provide actionable recommendations.
• Create interactive and user-friendly dashboards, visualizations, and reports that provide clear and actionable insights to stakeholders.
• Tailor dashboards to end-user needs, providing accurate and timely updates to support organizational goals.
• Collaborate with BI Developers to validate the integrity of underlying data sources and identify areas for improvement in data quality.

Process Improvement Support

• Work closely with clinical, financial, and operational leaders to understand their analytical needs and align data solutions to support key priorities.
• Present complex data findings through compelling storytelling techniques, using charts, graphs, and narratives to clearly convey insights.
• Serve as a liaison between the BI team and departments, ensuring a shared understanding of data requirements and outputs.
• Educate stakeholders on data insights and promote a culture of data-driven decision making across the organization.
• Train stakeholders on how to interpret and utilize dashboards, reports, and analytics tools effectively to drive informed decision-making.

Technical Expertise

• Automate data pipelines to streamline the extraction, transformation, and delivery of data for analysis and reporting.
• Create and maintain self-service BI tools and platforms to empower end-users to access and analyze data independently.
• Utilize SQL and other tools to perform advanced data extractions, cleaning, and analysis from multiple data sources (Clarity, Access, Axiom, etc.).
• Develop and apply statistical models, forecasting techniques, and predictive analytics to deliver deeper insights into clinical and operational trends.
• Perform regular data quality checks and validation to ensure data accuracy and reliability.
• Research and recommend new tools, processes, or technologies to improve the BI team’s analytical capabilities.

Project Management

• Manage multiple concurrent projects, prioritizing requests based on organizational impact, stakeholder needs, and deadlines.
• Develop project timelines, milestones, and deliverables, ensuring all analytics work meets quality standards and stakeholder expectations.
• Maintain project progress, proactively addressing challenges and communicating updates to relevant parties.
• Lead cross-functional teams in delivering analytics-driven solutions that meet business requirements.