The Analytics Developer, Data Scientist provides complex database analytics and reporting services to clinicians and customers. Oversees data collection from multiple sources, analyzes data and creates metrics to drive clinical and operational performance improvement. Performs requirements definition, development, testing, analysis and ad-hoc reporting as requested. Manages both departmental and matrixed resources. The essential functions of the Analytics Developer, Data Scientist include the following:
Gather and document data requirements from customers. Analyze and translate requirements into technical specifications, process and work flows. May serve in a lead consultant role for all customer contact and resource management.
Analyze business requirements and source systems to design and develop solutions using a variety of toolsets. Develop the deliverables requested utilizing the most appropriate analytic tools while incorporating process efficiencies.
Extract, transform and load data into database as required utilizing the most appropriate tool.
Assess, produce and/or develop complex relevant, standard, or custom information (reports, dashboards, interactive reporting, charts, graphs and tables) from various data sources by querying data and generating the associated output. Distribute and disseminate analytical deliverables to applicable agencies, researchers, management and other customers.
Lead validation of output and metrics to ensure data quality, reliability and integrity.
Document project/work assignments to include all needed technical documentation such as source to target mappings, data sources, definitions, methodologies, contact information, output requirements or other information to ensure continuity of process.
Interpret complex data and associated deliverables (reports, dashboards, interactive reporting, charts, graphs and tables) in plain business language for executive & clinical staff. Effectively summarize information and create intuitive/digestible information by selecting visualizations that are fit for purpose.
Develop statistical, economic and financial analysis from data to evaluate performance and drive relevant business or clinical initiatives. Analyze data for trends, observations, improvements and makes recommendations.
Provide training and mentoring to junior colleagues.
The ideal Analytics developer, Data Scientist will have the ability to design, develop and implement systems necessary to collect, maintain and analyze data. Also have verbal and written communication skills.