Senior Data Analyst Full-time NEW

Senior Data Analyst

The Senior Data Analyst is a senior individual contributor who leads complex healthcare analytics to support strategic clinical, operational, and financial decision-making, partnering with leaders and cross-functional teams to deliver high-impact insights, advance data governance, and mentor analysts.

Responsibilities:

• Analyzes data using standard statistical tools, methods, and techniques; interprets results to identify significant differences and trends.
• Leads the design and execution of advanced statistical models and predictive analytics.
• Translates complex business problems into analytical frameworks.
• Synthesizes, processes, and analyzes large datasets to uncover actionable insights.
• Presents findings to senior leadership and governance committees.

Data Visualization

• Develops and maintains dashboards and scorecards.
• Standardizes KPIs and reporting methodologies across departments.
• Automates enterprise-level reporting processes.
• Ensures data visualizations are intuitive, accurate, and aligned with strategic goals.
• Collaborates with IT to optimize reporting infrastructure.

Data Integration, Architecture and Standards

• Develops and implements databases, data collection systems, and analytics strategies that optimize statistical efficiency and data quality.
• Leads integration of disparate data sources including EHR, claims, financial, and operational systems.
• Assists in defining, developing, and implementing data standards and data quality measures.
• Conceptualizes, creates, and maintains operational and research data models for visualization and statistical analysis.
• Establishes and maintains standard work procedures governing the appropriate use of data.

Stakeholder Leadership and Consultation

• Serves as a trusted advisor to clinical and administrative leaders.
• Consults with internal and external customers, including faculty and staff, to identify user needs and clarify data requirements.
• Provides guidance and interpretation of complex systems and data.
• Facilitates data strategy sessions and requirements gathering workshops.
• Builds consensus around data definitions and usage.

Mentorship, Documentation, and Innovation

• Mentors junior and mid-level analysts on technical and professional development.
• Documents data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
• Evaluates and pilots emerging analytics tools and methodologies.
• Researches and stays up-to-date on new technologies and data analysis trends.
• Leads analytics communities of practice and training sessions.
• Contributes to scholarly activity

Marginal or Periodic Functions:

• Participates in strategic planning and digital transformation initiatives.
• Supports grant-funded research and academic collaborations.
• Represents the organization at industry conferences and professional forums.
• Leads post-implementation reviews of analytics projects.
• Contributes to vendor evaluations and procurement of analytics tools.

Knowledge/Skills/Abilities

Strategic Agility

• Aligns analytics with long-term organizational goals.
• Anticipates data needs for emerging initiatives.
• Advises leadership on strategic risks and opportunities.

Dealing with Ambiguity

• Navigates unclear or evolving data requirements.
• Makes sound decisions with incomplete information.
• Adapts analysis to shifting priorities.

Influence

• Builds consensus around data-driven decisions.
• Communicates complex findings to diverse audiences.
• Gains buy-in for analytics initiatives.

Technical Learning

• Masters new analytics tools and platforms.
• Applies advanced statistical and machine learning techniques.
• Stays current with industry trends.

Innovation Management

• Pilots new technologies for data processing, data generation (e.g. Synthetic), and analysis
• Encourages experimentation and learning.
• Identifies opportunities for automation and AI.

Collaboration

• Leads cross-functional analytics teams.
• Shares knowledge and builds analytics capacity.
• Supports enterprise-wide data initiatives.

Minimum Qualifications:

Requires a Bachelor's Degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field with at least 5 year(s) of experience in healthcare analytics or data science.

• Skilled in large scale data analysis, data processing and data technology
• Skilled with one or more industry data models and standards (e.g. OMOP, FHIR, DICOM)
• Experience with advanced analytics tools, data visualizations, and cloud data environments (e.g., Azure, Google AWS).
• Relevant education may substitute for experience on a year-for-year basis.

Preferred Qualifications:

Master's Degree in a quantitative or healthcare-related field with at least 7 year(s) of experience in a complex healthcare environment. Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS)

Salary Range

$90,000 + depending on qualifications

Working Conditions:

• Standard office equipment
• Repetitive use of a keyboard
• May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others.