Job Description
- Guides clinical teams and business stakeholders on large scope projects: gathering requirements, developing metrics, retrieving data, and ensuring validity of results.
- Utilizes advanced analytical and/or statistical ability to evaluate data, and make judgments and recommendations regarding process and outcome improvement work, financial outcomes, resource utilization, and clinical practice patterns.
- Proposes and creates innovative and appropriate data solutions (dashboards, reports, business intelligence tools, etc) for the measurement of processes and outcomes.
- Adept at learning new information systems and how the data generated contributes to the data development lifecycle.
- Advises on new data models, testing frameworks, and documentation practices.
- Demonstrates excellent data storytelling skills through outstanding presentation and communication to share findings in an understandable and actionable manner tailored to audience and customer's needs.
- Responsible for the coordination and completion of assigned projects, including project definition, assignment of task responsibilities, setting deadlines, and all other aspects of project management.
- Independently identifies and works to remediate project obstacles.
- Identifies, defines, and implements new data-driven strategies and processes for the organization.
- Communicates work plans, progress, findings and interpretations effectively with a continual focus on educating and developing analytic capability of business customers and the organization overall.
- Trains and mentors team members.
- Develops a trusted advisor reputation through expertise in data.
- At least five (5) years of experience in analytics / business intelligence
- Experience in at least one computer programming language or analytical programming language (R, Python, SAS, etc)
- Experience with SQL
- Knowledge of relational database structures
- Experience in project management
- At least eight (8) years of experience in analytics / business intelligence.
- Experience with data visualization tools preferred (Qlik, Tableau, Power BI, etc).
- Experience with data integration tools: DBT, Informatica, MS Integration Services etc.
- Experience working as a data analyst within a healthcare setting.
- Experience with clinical, hospital and/or financial applications and/or systems.
- Required Education: Bachelor's Degree
- Preferred Education: Master's Degree
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