LiveOnNY is looking to compile, analyze, report, and perform quality reviews of their practices related to organ and tissue donation, referral, recovery, allocation, and placement to transplant hospitals. This involves reconciling data from multiple sources to improve efficiency and outcomes.
Requirements
- 2–4 years of experience in data mining and analysis using Python or R.
- 2–4 years of experience in business intelligence reporting and data visualization using SQL Server Reporting Services (SSRS), Power BI, and Tableau.
- Proficient in developing and optimizing SQL schemas, data dictionaries, and indexing strategies to support efficient data management
- Proven experience in data management, including records, systems, and process optimization.
- Demonstrated ability to perform complex data analysis and develop high-impact reports and presentations for diverse audiences.
- Experience with Azure data architecture tools, including SSIS, Azure Data Factory, Data Lakes, Azure Synapse, and Elastic.
- Programming experience with JavaScript.
Responsibilities
- Compile data relating to all LVNY activities including hospital referral, case development, organ allocation and organ and tissue recovery
- Review LVNY activities from a quality point of view reconciling LVNY policy, work instructions and external regulations
- Develop comprehensive weekly reports tracking key performance indicators, timelines and adherence to process and policy
- Develop paginated reports utilizing SSRS and dashboards in PowerBI
- Develop and implement data mining, ETL pipelines, and machine learning models in Python and R.
- Enhance database performance by optimizing SQL queries and implementing effective indexing
- Proactively identifies process improvement opportunities to the Senior Director Data Science, including recommendations driven by Quality Review findings, outcomes, and organizational downstream impact.
Other
- Bachelor’s or Master’s degree in a healthcare or computer science–related field.
- Strong project management and business development skills, with a track record of meeting deadlines and implementing process improvement models.
- Self-motivated and proactive, with the ability to work independently and collaboratively across all organizational levels.
- Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
- Ability to read, analyze, and interpret common journals and documents.
