Senior IT Data Analytics Visualization Analyst

Main Line Health•Radnor, PA

1d•Hybrid

About The Position

At Main Line Health, data is more than numbers — it helps shape decisions that improve patient care, operational excellence, and enterprise-wide strategy. The Senior Data Analytics & Visualization Analyst plays a critical role in transforming complex, abstract data into meaningful insights through compelling visual storytelling and intuitive visualization design. Working in a highly collaborative, enterprise-wide environment, this role partners closely with leadership and cross-functional stakeholders to translate data into actionable information that drives informed decision-making. By combining analytics expertise with strong visualization, user experience, and graphical design principles, this individual helps bring clarity to complex business challenges while elevating how data is understood and utilized across the organization. As part of the Main Line Health family, you will join a mission-driven team dedicated to delivering superior service and care while valuing the diverse backgrounds, experiences, and perspectives that strengthen our organization.

Requirements

Bachelor's Degree in Technology, Clinical, or related field is required
Master's strongly preferred in related discipline
Current EPIC certification(s) and/or appropriate certifications as defined by your role (if applicable to your application(s) or must be willing to travel for training and achieve certification within 90 days of completed testing.
All certifications must remain active
A minimum of 3 years in Data Analysis/Data Visualization experience - strong preference for within a healthcare environment
Proficiency in SQL
Experience with visual analytic tools: Tableau, QlikView, Power BI etc.
Familiarity working with Agile methodologies for development
Strong mathematical and statistical skills
Familiarity with electronic health record and financial systems: EPIC Systems, PeopleSoft, Infor, EPSi, Cerner, WorkDay, Strata etc.

Nice To Haves

Exposure with cloud vendors and services: Microsoft, AWS, Google
Experience with relational SQL and NoSQL databases, including Oracle MS SQL Server, Hbase, etc.
Exposure with statistical analysis tools: R, SAS, SPSS, etc.

Responsibilities

Transform complex and abstract datasets into clear, visually compelling dashboards, reports, and presentations that support enterprise decision-making.
Develop impactful data stories that communicate analytical findings in a meaningful and actionable way for leadership and operational stakeholders.
Partner with cross-functional teams across the enterprise to identify business needs, interpret data trends, and deliver strategic insights.
Apply best practices in data visualization, user experience design, and graphical presentation to improve how information is consumed and understood.
Support enterprise service delivery initiatives by creating analytics solutions that enhance operational performance and business intelligence capabilities.
Collaborate directly with leadership stakeholders to provide data-driven recommendations and support strategic planning efforts.
Continuously improve reporting and visualization processes to enhance accuracy, accessibility, and user engagement with data tools and insights.
Contribute to a collaborative and mission-focused team culture centered on innovation, service excellence, and continuous improvement.
Serve as a trusted analytics and visualization resource across the enterprise.
Influence data storytelling, visualization standards, and reporting best practices through technical expertise and collaboration.
Balance independent ownership with cross-functional partnership in a highly visible enterprise environment.
Provide mentorship and knowledge sharing to peers and team members without direct supervisory responsibility.
Build strong partnerships with leadership stakeholders to support strategic, data-driven decision-making.