Senior Data Analyst - Research Analytics

$90,459 - $142,438/Yr

Intermountain Health - Harrisburg, PA

Full-time - Mid Level

Harrisburg, PA

Hospitals

About the position

The Senior Data Analyst - Research Analytics at Intermountain Health plays a crucial role in supporting Cardiovascular Research by translating research aims into data requirements and deliverables. This position involves assembling high-quality datasets to address significant medical research questions, requiring a blend of technical expertise, clinical domain knowledge, and effective communication skills. The analyst will work collaboratively within a multi-disciplinary team to advance scientific knowledge in the cardiovascular domain while mentoring junior team members and ensuring project priorities are met.

Responsibilities

• Translate research aims into data requirements and deliverables.
• Assemble and clean datasets from multiple EMRs and data platforms.
• Query relational databases using SQL and programmatic data languages like Python or R.
• Gather clinical requirements and interpret them as technical parameters for dataset development.
• Facilitate meetings with stakeholders to clarify requirements and provide project updates.
• Mentor junior team members and provide technical guidance.
• Work iteratively to refine data products to meet high standards.
• Collaborate with leadership and customers to establish project priorities and timelines.

Requirements

• Bachelor's degree in an analytics-related field with four years of relevant work experience, or a degree in another area with six years of relevant experience.
• Advanced SQL ability and knowledge of database design and data modeling.
• Experience in creating visually appealing reports and dashboards using tools like Cognos or Tableau.
• Proficiency in word processing, spreadsheet, internet, e-mail, and scheduling applications.
• Effective verbal, written, and interpersonal communication skills.
• Subject matter expertise in healthcare or related data.

Nice-to-haves

• Competence in Python/R and data engineering experience.
• Experience in scaled agile teams (SAFe®) or similar product management practices.

Benefits

• Comprehensive benefits package covering wellness programs.
• Opportunities for professional development and learning.