Data Analyst Principal

ACCOUNTABILITIES:

• All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning
• Acts as domain experts, partnering with business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal
• Works with business partners to understand and create their “user stories;” they identify and clarify opportunities to leverage data analytics in service of customer or business value
• Independently creates, deploys, monitors, and maintains highly interactive data visualizations and analytic services
• Leads and participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment and indexing, as well as domain-specific measurements (example: readmission rates)
• Works with their teams to ensure data accessibility, accuracy, and quality, and may act as data stewards by contributing to management of central data stores and metadata
• Provides consultative, data-driven support on product and business strategy development
• Defines, sets up, and executes test cases to validate that analytic and software solutions meet the business acceptance criteria
• Communicates solution tradeoffs to business partners to frame and influence project decisions
• Leverages internal and external sources to validate data accuracy and benchmark results
• Promotes and champions our security and de-identification standards, while they handle sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).

REQUIRED SKILLS/ QUALIFICATIONS:

• Bachelor’s degree in economics, mathematics, business, computer science, data or social science, operations research, statistics, or a related quantitative field. Alternate experience and education in equivalent areas is acceptable. Experience in more than one area is strongly preferred.
• Five or more years direct experience using technical and analytical skills to extract, integrate, layout and interpret complex and disparate data sources (certification/other training in lieu of yrs experience)
• Demonstrated expertise using data visualization tools such as Microsoft Power BI, Tableau, etc.
• Must have mastered the ability to tell stories using data
• Must have expertise in SQL and relational database design
• Expert programming skills using Python, R, etc. (“or similar”)
• Demonstrated experience and skill presenting findings and actionable recommendations
• Must be motivated, self-driven, curious, and creative
• Must be skilled communicators, and demonstrate an ability to work with development teams, end users and business leaders
• Demonstrated ability to support and complement the work of a diverse development and / or operations team

CORE SKILLS:

Communication & Stakeholder Management
Ability to clearly convey priorities, trade-offs, and progress to sponsors and stakeholders, and translate business needs into actionable user stories.

• Build Business Domain Knowledge
  Develop a deep understanding of the relevant business area to ensure solutions align with strategic goals.
• Prioritization & Decision-Making
  Expertise in managing backlogs, setting priorities, and making trade-offs to maximize business value.
• Agile & Scrum Practices
  Familiarity with agile methodologies, sprint planning, and collaboration within cross-functional teams.
• Technical Awareness
  Understanding of data systems, analytics tools, and visualization platforms to guide development effectively.
• Problem-Solving & Adaptability
  Ability to frame complex problems, adapt to changing requirements, and deliver incremental value.
• Leadership & Influence
  Leading without direct authority, motivating teams, and influencing decisions through clear rationale.
• Collaboration
  Working effectively with developers, analysts, engineers, and business partners[i]
  

PREFERRED QUALIFICATIONS:

• Knowledge of health care operations
• Exposure to agile/scrum (including tools like JIRA)
• Experience using Azure Data Lake, DevOps, Power Automate, or other tools in the Azure Suite
• Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI.
• Knowledge of statistical methods and techniques (predictive modeling, segmentation, regression, etc.)
• Familiarity with software development, data and integration architecture
• Experience working with unstructured or semi-structured data
• Pharmacy data experience