Senior Data Analyst – Public Health / Snowflake

This position will support the Data and Surveillance Section of the Bureau of Maternal, Child, and Family Health at the Ohio Department of Health. NTE 280 Hours.

The ideal candidate will have the skills specified below:

·Experience collecting and managing birth defect data as found in the State of Ohio applications, including but not limited to the Maternal and Child Health Integrated Data System.

·Experience collecting and managing birth defect data from the State of Ohio Department of Health agency via the Innovate Ohio Platform (IOP).

·Experienceusing Snowflake/ANSI SQL to select and transform data as needed. SQL experience must include data conversion, pivots, and logical assignments.

·Experience creating views or temporary tables within a sandbox database and/or schema to facilitate more complex queries.

·Experience working with business users to understand and document their analytics and reporting requirements.

·Experience developing complex reports and dashboards for state and federal reporting.

·Experience with all types of testing from unit to system and user acceptance testing, developing test cases and scenarios along with business users, reporting and tracking defects, and triaging/resolving issues.

·Experience training business users on analytic tools and data structures.

·Excellent communication skills both written and oral.

Day-to-Day responsibilities include but not limited to:

·Translate existing SQL queries built in the HUE Cloudera to execute on the Snowflake platform.

·Meet with epidemiologists to develop SQL queries that incorporate program-based logic models based on reporting requirements and data structure.

·Answer questions from epidemiologists about the structure, syntax, logic, and design of SQL queries during the collaborative development process.

·       Create queries for line listed data, incorporating variables from many different data tables.

·       Create summary queries of aggregate data using multiple stratification criteria and validate using existing canned reports.

·       Utilize innovative approaches to develop data cleaning queries within complex data structures that identify sites and/or cases that require follow up.

·       Modify and trouble-shoot queries during user acceptance testing to validate query functionality.

·       Provide detailed documentation within each query that clearly defines the logic and expected outputs for each section of coding (e.g., exclusions, calculated variables, sub-queries, stratification).