Clinical BI Analytics Lead

UT Health San Antonio

San Antonio (TX)

On-site

USD 95,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Retirement plan

Paid time off

Job summary

UT Health San Antonio is seeking a Business Intelligence Analyst to lead design, development, and advancement of BI and analytics efforts across data warehousing, data mining, and visualization. You will operationalize BI solutions and conduct advanced analytics to inform leaders and drive organizational goals, providing technical leadership and guiding projects through delivery lifecycle.

You will define complex analyses, build dashboards and KPIs (Tableau) and present findings to stakeholders.

Qualifications

Bachelor's degree in a scientific, technical, healthcare informatics, or mathematics field.
Five (5) years of experience in data analytics, data science, data warehousing, data lakes and marts, metadata management, and dimensional is required.
Experience working with Epic Clarity and Caboodle data models, reporting tools, and clinical data is highly preferred.
Experience supporting Epic Inpatient applications is preferred.
Certified in Tableau or Power BI or relevant visualization tools preferred.
Proficiency with analytics tools (SAS, R, Python, Java, Spark, Hadoop, Alteryx, SQL) and data visualization tools (Tableau, QlikView) is preferred.

Responsibilities

Define complex and detailed statistical analyses and modeling of clinical and operational data with outputs that are clear and relevant to stakeholders; such as opportunity analyses, clinical trending, operational KPIs, predictive modeling, program evaluation, customer reporting, product development, and ad-hoc analytics.
Participate in the design and development of statistical analyses and reports that explore and present large amounts of data to discover underlying patterns and trends related to volumes, operational efficiency, cohort analysis, and clinical performance.
Analyze large datasets to discover trends, patterns, and actionable insights.
Apply research and evaluation standards, descriptive statistics, and data management principles to translate complex data into meaningful content.
Present findings using verbal, written, and graphic communication techniques. Offer recommendations to support organizational performance improvement.
Independently complete analysis, development, and enhancement of analytical and operational BI solutions to fulfill business needs.
Apply understanding of dimensional data modeling techniques, data warehousing, design, and concepts to produce balanced scorecard design, and design of dashboards and KPI's.
Stay informed about BI industry trends, technologies and best practices that can be applied to achieve organizational objectives.
Analyze large data sets of structured, semi-structured unstructured data to discover data insights and collaborate with business partners to deliver business value.
Design interactive and/or advanced visualizations (Tableau) that enhance analytics storytelling to support business decisions.
Navigate multiple business lines and draw holistic insights from large data sets.
Interpret and develop complex SQL queries for both ad-hoc and ETL uses.
Provide direction and guidance to less experienced team members.
Performs all other duties as assigned.