Idaho State Job Bank is hiring: Data Analyst-Statistical-Staff in Boise

Data Analyst-Statistical-Staff at Intermountain Wood Products in Boise, Idaho, United States Job Description Job Description: The Staff level Statistical Data Analyst position is focused on generating impactful solutions for customers within a defined clinical or business area. The Staff level analyst works within a team and serves as the primary analyst supporting management level leadership of a system business or clinical domain. In partnership with the Data Analytics Manager, they meet regularly with customer stakeholders to provide work updates, set project priorities and establish deliverable timelines. They partner with data governance partners to ensure the integrity and accuracy of customer data. They drive information insights through data exploration, statistical analysis, interpretation, report development and visual storytelling. They are a member of an analytics delivery team comprised of professionals working together to develop technical products focused on enabling Intermountain strategic initiatives and operational targets. 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 its fullest potential. This position helps develop and deploy world class data analytics at Intermountain Healthcare, one of the nation's leading health systems. Data analysts will partner with business and clinical leaders, and data professionals across the organization, to support our Mission to help people live the healthiest lives possible. In brief, the Staff level Statistical Data Analyst will analyze and interpret data using statistical modeling software (e.g. R, Python, SAS) and proficiently apply statistical methods, analysis and models (i.e. hypothesis testing, logistic and linear regression, correlation, parametric and non-parametric methods) to detect improvement opportunities. They will gain a solid understanding of the data and operations of the business/clinical areas you support and partner with Analytic leadership to ensure customer priorities are understood and resourced. They will provide a high level of expertise and customer service in order to delight business and clinical leaders through innovative and impac To view full details and how to apply, please login or create a Job Seeker account