Marketing and Communications Analytics Manager

Job Description Summary

The Office of Communications and Marketing (OCM) at MUSC is seeking a passionate and forward-thinking Marketing Analytics Manager to help lead our transformation into a more agile, customer-centric, and innovative organization. We’re looking for change agents who thrive in fast-paced environments, embrace continuous evolution, and are excited to make a meaningful impact across MUSC’s Health, Research, and University divisions.

We are seeking a strategic and data-driven manager to lead targeting and performance analysis across our healthcare, university and research marketing initiatives. This role will play a critical part in translating complex data into actionable insights that optimize campaigns, improve patient and student engagement, and support business growth. The ideal candidate will have a strong understanding of healthcare marketing dynamics and a passion for iterative learning and continuous improvement.

• Conduct segmentation, targeting and behavioral analysis to support personalized patient and student journeys and targeted outreach.

• Analyze multi-channel campaign performance across digital, email, paid media, and outreach programs.

• Partner with external agencies and vendors to evaluate campaign effectiveness and translate performance data into insights that inform strategy and improve ROI.

• Develop and maintain dashboards and reports to monitor KPIs such as patient and student acquisition cost, conversion rates, engagement metrics, and lifetime value.

• Collaborate with internal teams (brand, digital, CRM, communications, clinical and university) to align analytics with strategic goals and regulatory requirements.

• Implement and refine attribution models to understand the impact of various touchpoints across the healthcare funnel.

• Own list management supporting campaigns related to consumers/patients, providers and students.

• Present insights and recommendations to senior leadership, driving data-informed decision-making across the organization.

• Bachelor’s or Master’s degree in Marketing, Data Science, Public Health, Business Analytics, or related field.

• Minimum 7 years of experience in marketing analytics, preferably within healthcare, higher education, or regulated industries.

• Proficiency in tools such as Google Analytics, Tableau, Power BI, SQL, Excel, and marketing automation platforms (e.g., Salesforce Health Cloud, Marketo).

• Understanding of HIPAA-compliant data practices and healthcare consumer behavior.

• Experience with A/B testing, funnel analysis, and campaign optimization.

• Excellent communication skills with the ability to translate data into strategic insights for both technical and non-technical audiences.

• Experience working with external agencies and managing vendor relationships.

• Experience with Python or R for advanced analytics.

• Familiarity with healthcare-specific platforms and EMR/CRM integrations.

• Knowledge of privacy regulations (e.g., HIPAA, GDPR) and data governance.

• Mobility & Posture
  • Standing:
    Continuous
  • Sitting:
    Continuous
  • Walking:
    Continuous
  • Climbing stairs:
    Infrequent
  • Working indoors:
    Continuous
  • Working outdoors (temperature extremes):
    Infrequent
  • Working from elevated areas:
    Frequent
  • Working in confined/cramped spaces:
    Frequent
  • Kneeling:
    Infrequent
  • Bending at the waist:
    Continuous
  • Twisting at the waist:
    Frequent
  • Squatting:
    Frequent
• Manual Dexterity & Strength
  • Pinching operations:
    Frequent
  • Gross motor use (fingers/hands):
    Continuous
  • Firm grasping (fingers/hands):
    Continuous
  • Fine manipulation (fingers/hands):
    Continuous
  • Reaching overhead:
    Frequent
  • Reaching in all directions:
    Continuous
  • Repetitive motion (hands/wrists/elbows/shoulders):
    Continuous
  • Full use of both legs:
    Continuous
  • Balance & coordination (lower extremities):
    Frequent
• Lifting & Force Requirements
  • Lift/carry 50 lbs. unassisted:
    Infrequent
  • Lift/lower 50 lbs. from floor to 36":
    Infrequent
  • Lift up to 25 lbs. overhead:
    Infrequent
  • Exert up to 50 lbs. of force:
    Frequent
    • Examples:
      • Transfer 100 lb. non-ambulatory patient = 50 lbs. force
      • Push 400 lb. patient in wheelchair on carpet = 20 lbs. force
      • Push patient stretcher one-handed = 25 lbs. force
• Vis…