About The Position

The Senior Data Analyst supports data acquisition, management, and analysis from multiple sites or sources, as well as technology solutions for receiving, transforming, validating, and storing data. The role helps ensure data is used appropriately in reports and queries and provides organizational consulting on database-related matters. The analyst works with teams on data collection instruments, database management, data analysis, and reports and dashboards; develops and performs appropriate analyses; and explains analysis methods, assumptions, results, and implications. The position also documents methods and results and coordinates data quality controls and access to central data repositories with onsite or field-based counterparts. The analyst performs related responsibilities as assigned.

Requirements

  • Bachelor's degree in computer science or a related field, and three years of experience in processes and standards related to data, or an equivalent combination of education, training, and experience.

Nice To Haves

  • Experience with relational database management systems such as Oracle, Microsoft SQL Server, or MySQL.
  • Experience with statistical packages such as SAS, SPSS, or R.

Responsibilities

  • Support the acquisition, management, and analysis of data from multiple sites or sources.
  • Support the configuration and management of technology solutions for receiving, transforming, validating, and storing data.
  • Ensure that data uses through reports and queries are appropriate.
  • Provide database expertise and organizational consulting to help users meet their needs.
  • Develop automated quality control procedures to assess data quality and provide reports to data owners.
  • Work effectively within groups on data collection instrument design, database management, data analysis, and creation of reports and dashboards.
  • Develop and perform appropriate analyses.
  • Explain analysis methods and assumptions, and assist with interpretation of results and their implications.
  • Document methods and results using standard artifacts, including data dictionaries, standard operating procedures, and analysis methodology descriptions.
  • Coordinate consistent data quality control measures and access to central data repositories with onsite or field-based counterparts.
  • Perform related responsibilities as assigned.
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