Principal Healthcare Business Data Analyst

VSP Vision is a vision care company seeking a Principal Healthcare Business Data Analyst to lead data-driven collaborations with business teams. The role develops analyses, statistical models, forecasts, dashboards, data workflows, and business-oriented data models while mentoring analysts and identifying machine learning opportunities. It also supports data governance, quality, security, privacy, and strategic decision-making.

Responsibilities:

• Lead engagements with business leaders and staff to clarify needs and define business requirements for strategic data use; where possible anticipates and proposes opportunities for analysis and exploration in support of business optimization and decision-making
• Support decision-makers by performing data exploration, analysis and statistical inference to identify and interpret trends and patterns in datasets and detect influences, opportunities and risks
• Develop forecasts, regression models, what-if scenarios and recommendations in consultation with leaders to support strategic/tactical planning and operational decision-making
• Lead the creation of dashboards, visualizations and reports to support business performance monitoring, automating where possible, to support stakeholders’ ability to be data driven
• Effectively communicates insights for business leaders and colleagues in order to advance the collective intelligence of the organization
• Work collaboratively with the enterprise analytics and information management team to articulate business needs for new/revised data models and views/access to the data
• Produce business-specific workflows and data models for analysis using enterprise analytics and data management tools, including the integration of external data sets that are approved for use
• Serve iterative business needs by developing prototype models that join large volumes of data across multiple data domains to deliver views for use by other analysts; understands the modeling techniques for ensuring integrity and responsiveness in those deliverables
• Identify business opportunities for machine learning and collaborates with Data Scientists to deliver value for the business unit
• Contribute to data inventory and stewardship efforts, including contributions to metadata management, data profiling, data quality remediation and data cleansing
• Maintain high standards and adhere to all enterprise policies and guidelines regarding data security and privacy, data management, data quality and data governance; regard data as an enterprise asset that is to be protected and used both strategically and appropriately

Requirements:

• Bachelor's degree in statistics, analytics, mathematics, economics, computer science, or related functional area; or equivalent experience
• 6+ years of demonstrated data analytics experience including querying and analyzing operational and/or financial data, generating insights and communicating those effectively with colleagues and leaders
• Prior experience in successfully leading analytics projects in one or more of the following domains/business functions: Financial Management and Forecasting, Risk Assessment, Insurance Utilization and Pricing, Supply Chain Optimization, Retail Management, eCommerce Management, Consumer Behavior Analysis, Marketing Optimization or Healthcare Management
• Proficient in building complex data queries using SQL in order to join, filter, cleanse,, and aggregate data; understanding of how no/low-code applications apply SQL concepts to do the same
• Proficient in designing data workflows and business-oriented data models against relational database structures
• Proficient in visualization and dashboard design techniques to create interfaces that monitor business performance against KPIs and highlight trends/patterns
• Proficient in using data exploration and analysis platforms such as PowerBI, Cognos Analytics, Tableau, SAS or similar
• Experience applying statistical modeling to evaluate complex business problems and develop forecasting and what-if scenarios
• Possesses strategic skills, business acumen, and curiosity to envision opportunities, document requirements, and collaborate for successful outcomes
• Capable of mentoring others to elevate the collective skills of the team
• Familiarity with Data Science techniques and experience in the use of notebooks (i.e., Jupyter) with programming languages like Python and R
• Excellent written and verbal communication, presentation, and analytical skills
• For roles that are remote (i.e., Work From Home (WFM)) or hybrid (i.e., partial onsite at a VSP location and WFM), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment
• Demonstrated ability to identify trends, determine root causes, evaluate performance variation, and develop meaningful quality insights from large, complex, fragmented datasets
• Healthcare quality and operational analytics knowledge
• Data storytelling and executive communication skills, capable of translating technical findings into concise, actionable insights
• Data governance expertise, including data validation, metric definition, reporting standards, and regulatory considerations