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Position is 100% remote, however, currently we are unable to consider candidates for remote opportunities in the following states: California, Hawaii, Rhode Island and Washington.
At this time, we are currently not accepting candidates that require a Visa Sponsorship
The Senior level Technical Data Analyst position is focused on generating impactful solutions for customers within a defined clinical or business area. The Senior level analyst works within a team and serves as the lead technical support for a system business or clinical domain. Within their team, they mentor junior caregivers providing technical guidance and adherence to best practices.
In partnership with the Product Owner, 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, interpretation, report development and visual storytelling. They are a key member of an Agile 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\xe2\x80\x99s leading health systems. Using the Scaled Agile Framework\xc2\xae, Data Analysts will partner with business and clinical leaders, and data professionals across the organization, supporting our Mission to help people live the healthiest lives possible.
In Brief, the Senior level Technical Data Analyst will demonstrate a deep understanding of the data and operations of the business/clinical areas you support. Partner 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 customers through innovative and impactful analytic deliverables. Mentor Staff and Associate team members. Detect and facilitate opportunities for intra/inter team collaboration to enhance product work. Contribute technical acumen and thought leadership to the success of your Agile Delivery Team and advance your professional skills though structured and personal learning opportunities
Minimum Qualifications
Must meet one of the following:
Bachelor\'s degree in an analytics related field such as statistics, mathematics, information systems, computer science, finance, business management, or economics with four years of relevant work experience in a role performing data analysis.
Or
Bachelor\xe2\x80\x99s 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.
Plus:
Demonstration of these skills:
Advanced SQL ability, knowledge of database design, data modeling and standardized data structures
Significant Experience 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\xc2\xae) or similar product management practice
Preferred Qualifications
Bachelor\'s degree in an analytics related field such as statistics, mathematics, information systems, computer science, finance, business management, or economics.
Physical Requirements:
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