Sr Data Developer - Healthcare Analytics

Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case., Are you passionate about transforming complex data into meaningful insights that drive strategic decision-making? Rush University Medical Center is seeking a Senior Data Developer to help advance our enterprise analytics capabilities and support data-driven decision-making across the organization.

As part of the Knowledge Management team within Digital Transformation, you will partner with business leaders, operational teams, and technical stakeholders to design, develop, and maintain reporting and analytics solutions that support clinical, operational, and financial initiatives. You will work with large and complex data sets to create dashboards, visualizations, forecasts, and reports that provide actionable insights and improve organizational performance.

In this role, you will leverage your expertise in Power BI, SQL Server, Azure, data warehousing, and data integration to build scalable reporting solutions, improve data quality, and support enterprise analytics initiatives. You’ll play a key role in gathering business requirements, translating data into compelling visual stories, and helping leaders make informed decisions based on reliable and meaningful information.

The ideal candidate combines strong technical and analytical skills with the ability to communicate effectively with stakeholders at all levels. Experience developing sophisticated reporting solutions, working with complex healthcare data, and supporting business intelligence initiatives in a fast-paced environment will position you for success. Join Rush and help shape the future of healthcare analytics by delivering insights that improve operations, enhance decision-making, and support innovative patient care initiatives., * Gather business & data requirements from stakeholders.

• Conducts data analysis in support of a variety of analytic solutions.
• Captures, develops, and documents data definitions, business rules, and data quality requirements.
• Create and produce forecasts, reports, ad hoc requests, dashboards, etc.
• Interprets data, analyzes results, and provides insights to determine operational impact, trends, and opportunities.
• Develop reports and deliverables for management and communicate with all levels of stakeholders.
• Identifies and defines both process and data improvements.
• Ensures compliance with deliverable reporting requirements by performing quality data audits and analysis.
• Produces reports and analytics that facilitate evidence-based clinical, financial, and operational decisions.
• Other duties as assigned.

• Bachelor’s degree in information science, computer science or related field.
• At least five (5) years of data analysis, query design, and reporting experience.
• Experience with reporting solutions using Power BI, MS SQL Server, Azure, Advanced Analytics
• Experience with reports, dashboards, scorecards using Power BI and MDX in a data warehousing environment.
• Demonstrated experience in requirements gathering and using relational databases.
• Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples).
• Good visual aesthetic sense relative to report development and presentation to the user.
• Excellent written and verbal communication, facilitation, and customer facing skills
• Must have a strong customer service orientation and excellent organizational skills.
• Experience developing sophisticated reports against complex data sets.
• Ability to read other’s SQL queries and make changes/updates as necessary
• Experience with diagnosing and resolving errors in complex reports.
• Strong analytical, multi-tasking and problem-solving skills
• Experience in data ingestion, quality cleanup, and multi source data integration to support analytics and reporting.
• Familiarity with emerging healthcare delivery models and key performance indicators related to subscriptions, application usage, and system throughput.