Senior Statistical Data Analyst

Job Description:

The Senior level Statistical Data Analyst position is focused on generating impactful solutions for Research at Intermountain Health. This position works closely with multiple research teams supporting clinical trials, investigator-initiated and sponsored research. The Senior level analyst serves as the lead data support for research studies including assessing study feasibility, defining statistical methods, drafting analytic plans, conducting analysis and reporting results. Within their team, they mentor junior caregivers providing statistical and technical guidance and adherence to best practices. They understand research methods, approaches and requirements. They facilitate regular meetings with customer stakeholders to provide work updates, set project priorities and establish deliverable timelines. They have a deep understanding of the clinical and operating data for the areas they support and consult with Healthcare Data Advisors to ensure the integrity and accuracy of customer data. They drive information insights through data exploration, advanced statistical testing and analysis, interpretation, report development and visual storytelling.

This position is part of a highly skilled, high impact team with deep clinical and technical expertise in leveraging healthcare data to solve real-world problems. Our teams report to senior analytics leaders and work in strong partnership with key business and clinical leaders across all areas of Intermountain Healthcare. This team provides ongoing training, maintenance, monitoring and promotion of data applications and reports to ensure data insights are widely known, accessible, and used to their fullest potential. This position helps develop and deploy world class data analytics at Intermountain Healthcare, one of the nation’s leading health systems, supporting our Mission to help people live the healthiest lives possible.

Position Details:

This is a remote position. Incumbent will work Monday-Friday during regular business hours.

The Senior level Statistical Data Analyst will:

• Analyze and interpret data using statistical modeling software (e.g. R, Python, SAS) and expertly apply statistical methods, analysis and models (i.e. hypothesis testing, logistic and linear regression, correlation, parametric and non-parametric methods) to detect improvement opportunities.
• Recommend statistical methods, approaches and designs to stakeholders to ensure appropriate techniques are used and demonstrate a deep understanding of the data and operations of the business/clinical areas you support while partnering with Analytic leadership to ensure customer priorities are understood and resourced.
• Provide a high level of expertise and customer service in order to delight business and clinical leaders through innovative and impactful analytic deliverables.
• Mentor Staff and Associate team members, detect and facilitate opportunities for intra/inter team collaboration to enhance analytic services and contribute statistical acumen and thought leadership and work to advance your professional skills though structured and personal learning opportunities.

Minimum Qualifications:

• Bachelor's degree in an analytics related field such as statistics, mathematics, information systems, computer science, finance, business management, or economics and four years of relevant experience performing data analysis OR Bachelor’s degree in another area of study with six years of relevant work experience in a role performing data analysis. Experience without a related degree will be considered if skill set and experience are robust.
• Advanced SQL ability, knowledge of database design, data modeling and standardized data structures
• Practiced ability in creating visually appealing, content rich and consumer centric reports and dashboards (i.e. Cognos, Tableau)
• Proficiency in using word processing, spreadsheet, internet, e-mail, and scheduling applications
• Highly effective verbal, written and interpersonal communication skills
• Subject matter expertise in healthcare or related data (Clinical Programs, Clinical Services, Compliance, Quality, Revenue Cycle, Strategic Planning, Population Health, etc.)
• Lifelong learner with a creative, collaborative approach.
• Temperament to thrive in scaled agile teams (SAFe®) or similar product management practice

Preferred Qualifications:

• Experience pulling data using SQL,
• Experience validating datasets and analyzing data using tools like R, Python or SAS. 

Physical Requirements:

Location:

Intermountain Health Intermounta