Here at CHLA, we believe every child deserves to enjoy all those special moments that childhood has to offer, free from pain and suffering. This is what inspires our staff to be their best—and they’re equipped with everything they need to succeed. If you want to help create more special moments for children where you’re empowered to deliver the highest quality of care, this is the place to do it. At CHLA — named a top 10 children’s hospital in the nation by U.S. News & World Report—we empower our team members to deliver the highest quality care. As a Magnet-designated hospital, we provide compassionate care for our patients more than 528,000 times each year. If you’re ready to make a difference for thousands of children while improving pediatric medicine, join us.

Purpose Statement/Position Summary: The Data Science Analyst II, under the direction and supervision of the Director of Analytics, will play a hands-on role in our Office of Enterprise Data (OED). The Data Science Analyst II collaborates with stakeholders across the organization to develop sophisticated analytics to provide information, insights and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. The Data Science Analyst II exhibits a strong and advanced understanding of the healthcare domain, along with expertise in technical data manipulation and analytical development, whether in BI or Machine Learning. These skills effectively support CHLA’s mission to create hope and build healthier futures.

Required:

5 years of experience in healthcare, including familiarity with hospital systems, diverse healthcare data sets (claims, EHR, clinical data, structured and unstructured data) and analytics, data management, and data visualization.

Able to demonstrate advanced analytical, problem-solving and decision-making skills, beyond a DSA I.

Able to demonstrate advanced data prep skills, beyond a DSA I, using scripting languages like Oracle PL/SQL, MS SQL, R, Python, etc.

Able to demonstrate advanced BI development skills, beyond a DSA I, using Tableau and/or PowerBI.

Understanding of and familiarity with Data Analytics platforms like Azure data lake, Azure Synapse, Azure Fabric, Oracle DB, SQL Server, etc.

Demonstrated ability to be self-paced, self-motivated and flexible in a rapidly evolving environment.

Able to demonstrate strong verbal and written communication and interpersonal skills and able to effectively engage and influence diverse stakeholders with varying skill sets, beyond a DSA I.

Organized and detail-oriented, with proven ability to prioritize workload, meet deadlines, and manage more than one project at a time.

Proactive learner with initiative to learn new skills and apply this knowledge on the job.

Executes all job responsibilities and assignments promptly, reliably, honestly and ethically.

Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint), including creating charts and graphs.