Director, Data & Analytics - Waltz Health

Job Description

The Director, Data & Analytics is responsible for leading the design, development, and delivery of enterprise data and analytics solutions that support Waltz Health's pharmacy marketplace platform, payer solutions, specialty pharmacy programs, and operational functions. The role serves as a senior analytical leader responsible for transforming complex healthcare, pharmacy, claims, and operational data into scalable reporting, analytics, and decision-support capabilities.

This position partners closely with Product, Technology, Operations, Finance, and Business stakeholders to drive data quality, reporting consistency, analytical scalability, and enterprise visibility into key performance metrics. The Director will establish data and reporting standards, oversee analytics initiatives, and develop data-driven solutions that enable informed business decisions across the organization.

The ideal candidate will possess deep expertise in healthcare data, pharmacy claims analytics, business intelligence, reporting automation, forecasting, and data visualization, with a demonstrated ability to build scalable analytical frameworks and data solutions in a rapidly growing healthcare technology environment.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by:

Data & Analytics Strategy

• Develop and execute the organization's data and analytics roadmap.
• Establish enterprise analytics standards, methodologies, and governance practices.
• Partner with business and technology leaders to identify opportunities to improve reporting, analytics, and data accessibility.
• Drive adoption of data-driven decision-making across the organization.

Reporting & Business Intelligence

• Lead the design and development of enterprise dashboards, KPI reporting, scorecards, and performance metrics.
• Develop scalable reporting solutions supporting executive leadership and business stakeholders.
• Establish reporting definitions and ensure consistency across analytical outputs.
• Identify opportunities to automate manual reporting processes and improve data delivery efficiency.

Data Management & Analytics

• Develop analytical solutions utilizing healthcare, pharmacy, marketplace, payer, financial, and operational datasets.
• Design and implement scalable data models to support reporting and analytics initiatives.
• Partner with engineering and product teams to improve data quality, accessibility, and reliability.
• Ensure accuracy and integrity of critical business and operational reporting.

Forecasting & Performance Analytics

• Develop forecasting and projection models supporting operational planning and business growth initiatives.
• Analyze utilization, network, client, pharmacy, and marketplace performance metrics.
• Build analytical frameworks that support ongoing performance management and operational optimization.
• Monitor key trends and performance indicators and communicate findings to leadership.

Cross-Functional Leadership

• Collaborate with Product, Engineering, Finance, Operations, and Commercial teams on data initiatives.
• Support enterprise-wide analytics projects and data modernization efforts.
• Provide guidance and mentorship to analysts and analytics professionals.
• Promote best practices in data management, business intelligence, and analytics.

Qualifications

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

Education

• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Finance, Economics, or related field.

Experience

• 8-10 years of experience in data analytics, business intelligence, reporting, analytics engineering, or related disciplines.
• Experience working with large and complex healthcare, pharmacy, or claims datasets.
• Demonstrated experience building enterprise reporting and analytics solutions.
• Experience developing forecasting, modeling, and analytical frameworks.
• Proven ability to partner effectively with technical and business stakeholders.

Technical Skills

• Advanced SQL expertise.
• Experience with Tableau, Power BI, Looker, or similar business intelligence platforms.
• Experience with data modeling and reporting architecture.
• Experience with BigQuery, cloud-based analytics environments, and large-scale data platforms preferred.
• Advanced Microsoft Excel and analytical modeling capabilities.

PREFERRED QUALIFICATIONS:

• Experience within PBM, healthcare technology, specialty pharmacy, payer, pharmaceutical services, or pharmacy marketplace organizations.
• Experience building enterprise KPI frameworks and executive reporting solutions.
• Experience working with healthcare claims, pricing, network, or pharmacy performance data.
• Analytics engineering or data architecture experience.
• Master's degree in Analytics, Data Science, Business, Finance, Public Health, or related field.

Additional Information

OUR CULTURAL BELIEFS:

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