The Business Intelligence Analyst is responsible for designing, creating, and managing BI and analytics solution that turn data into knowledge.
Use knowledge acquired through assessing the patient Engagement Center's Date to create proposals in workflow changes and opportunities for optimization, serving as a key point person for our IS and IT Partners, and contribute to Patient Engagement Center project tracking and coordination.
Loading, translating, merging data from multiple data sources to prepare datasets for analysis to determine the most accurate data to present to guide decision making.
Preparing documentation of analytic steps to make for easier/ more accurate replication.
Prioritization of multiple high priority projects to meet deadlines.
Attention to detail for technical programming, statistical analysis.
Ability to readily spot errors and discrepancies in reports.
Balancing scientific rigor with the need for concise and timely analysis and reports.
Align and present trends and themes in data to opportunities for workflow optimization.
Assist in the tracking for Patient Engagement Center project progression, oftentimes serving as a point person to key stakeholder partners.
Translate business needs to technical specifications.
Design, build and deploy BI solutions.
Maintain and support data analytics platforms.
Create tools to store data.
Conduct unit testing and troubleshooting.
Evaluation and improve existing BI Systems.
Collaborate with teams to integrate systems.
Develop and execute database queries and conduct analysis.
Create visualizations and reports for requested projects.
Develop and update technical documentation.
Present data trends and observations alongside proposals for workflow optimizations and assisting in the pursuing of said changes to workflows.
Requirements
Bachelor's Degree in quantitative field such as Mathematics, Statistics, or Engineering. Computer Science, Healthcare Administration, or a related field.
1 year Experience in an analytic or technical role working with multiple data systems.
Proven experience with database management, statistical representation of data, presentation, spreadsheet and word processing software.
1 year Experience in programming using SQL.
Experience using data visualization software such as Tableau, PowerBI, SSRS, etc.
Background in data warehouse design (e.g. dimensional modeling) and data mining.
Master's Degree in related field may apply to applicable years of experience.