Corporate

Corporate

Sr IT Data Analytics Visualization Analyst

Job ID: 80981

Radnor Corporate Office

240 Radnor Chester Road

Radnor, PA 19087

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Senior IT Data Analytics Visualization Analyst

Location:

Radnor, PA (Hybrid)

Schedule: Full-Time, Day Schedule

Compensation: $85,155.20 - $131,913.60

Why This Role Matters

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.

Benefits & Perks

  • Up to 240 hours (6 weeks) of paid time off annually
  • Comprehensive medical, dental, and vision coverage
  • 100% Employer-Funded Pension Plan + 403(b) Match
  • Tuition reimbursement up to $6,000 annually
  • Professional development, training, and certification support
  • Employee discounts on services and activities
  • Free employee parking
  • What You’ll Do

  • 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.
  • Technical Leadership & Influence

  • 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.
  • What You Bring:

    Required:

    Education:

  • Bachelor's Degree in Technology, Clinical, or related field is required
  • Master's strongly preferred in related discipline
  • Licensures/Certifications:

  • 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
  • Experience:

  • 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.
  • Preferred:

  • 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.
  • Join Our Team!

    At Main Line Health, we believe diverse perspectives strengthen our ability to deliver exceptional care. You would join a team united by a shared purpose: providing superior service and improving lives - for our patients, our employees, and our communities we serve.

    Employee Status: Regular

    Schedule: Full-time

    Shift: Day Job

    Pay Range: $85,155.20 - $131,913.60

    Job Grade: 114

    “Tell us about a mistake you’ve made — but more importantly, what you learned and how you changed. Humility, self-awareness, and growth mindset are the hallmarks of top performers.” 

    Kaitlyn C.

    Sr IT Data Analytics Visualization Analyst

    Apply Now
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    Our Employee Referral Program is a win-win

    Employees can earn easy money by helping us find great talent, and referred candidates may receive added visibility in the hiring process.

    If you’ve been referred by a Main Line Health employee, be sure to apply using the unique link they provided. This ensures the referral is properly tracked through their employee credentials and gives your application priority review.

    Many roles offer generous referral bonuses. Employees can find full program details, step-by-step instructions, and bonus amounts on Wellspring.

    Main Line Health is proud to be an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, color, religion, gender, national origin, disability, or veteran status.