This position's duties also include managing all stages of data management, quality control, and reporting; programming in analytical programming languages (like SAS, SQL, SPSS, R, and Python); taking the lead in analyzing and putting data management, quality control, and reporting requirements on multi-programmer projects; and troubleshooting intricate software processes and products.

Additionally, this position is responsible for developing complex macros for various research and reporting purposes, designing thorough quality checking and validation processes, developing and evaluating complex data linkage processes, and testing data conversions and data integrity from a wide variety of sources across platforms.

Significant Duties:

Proactively shares knowledge, resources, advice, and expertise with coworkers and customers; forges connections with cross-functional stakeholders; influences others through technical explanations and examples; adapts to competing demands and new responsibilities; listens to and responds to performance feedback; seeks out and addresses performance feedback; gives feedback to others; and develops and implements plans to improve performance.

Applying subject-matter expertise supports the development of work plans to meet business priorities and deadlines, ensures the team follows all procedures and policies, coordinates resources to accomplish priorities and deadlines, and collaborates cross-functionally to make effective business decisions in order to complete work assignments and support business-specific projects. addressing complicated challenges, appropriately raising hazards or high priority issues, and identifying and seizing improvement possibilities.

develops outcomes and process measurements, translates business requirements, determines data/information needs and data collection techniques, develops analytical strategies, and measures the effects of business decisions on clients, customers, and/or members in order to drive strategic data-informed decisions. Supporting and educating end users, documenting processes and outputs, and working with clients and staff to discover opportunities and strategies to increase efficiencies through analysis.

By validating data sources, querying, merging, and extracting data across sources, performing routine data refresh and update, developing and/or delivering tools for electronic data collection, and offering user training, support, and documentation, data is gathered on targeted variables in an established systematic manner.

Determines data and analytical requirements develops models that produce actionable insights, tests, refines, and validates models in order to create analytical and/or statistical models that enable informed business decisions.

Integrates and consolidates data, ensures data quality and accuracy, identifies data inaccuracies, and suggests process or system modifications to improve the overall quality of the data before cleaning and generating the final data set(s) for analysis.

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