Associate (Office of Data Governance))

Minimum Requirements

• Bachelor’s degree from an accredited college or university in a related field, and 
• Three years of full-time, paid, professional experience, at least two of which have included working with large longitudinal data sets.

OR

• Master’s degree from an accredited college or university in a related field, and 
• One year of full-time, paid, professional experience that has included working with large longitudinal data sets.

OR

• Any equivalent combination of training and experience determined to be acceptable by the Office of Talent in collaboration with the District Performance Office.

All work experience related to the position must be included on the resume.

Knowledge, Skills and Abilities

• Demonstrated knowledge of:
  • statistical software packages, such as Stata, R, and/or SPSS required.
  • one or more programming languages, such as SQL, Python, and/or Java strongly preferred.
  • benchmark, formative, and summative assessment data strongly preferred.
  • data visualization software, such as Qlik or Tableau strongly preferred.
  • Google Drive system and product suite.
  • how to identify and resolve data anomalies or discrepancies, particularly across multiple data sets and within large data sets.
  • descriptive and inferential statistics.
  • best practices in data management, including storage, security, documentation and database design and management.
  • relational database management systems (RDBMS).
  • administrative policies and practices.
• Demonstrated ability to:
  • manage, clean, manipulate, join and analyze large longitudinal data sets and prepare reports using Stata, R, Python, and/or SPSS, and data visualization software such as Qlik and/or Tableau.
  • work cross-functionally to ensure that all District-held data are accurate, complete, understandable, and accessible to relevant stakeholder groups.
  • research, evaluate, and recommend changes to systems and processes related to the collection, reporting, and dissemination of data.
  • communicate key analytical findings to multiple audiences (including non-technical audiences) in oral, written, and visual form.
  • train District staff and external audiences on the appropriate use, interpretation, and application of data systems and tools.
  • communicate effectively, both orally and in writing.
  • establish and maintain effective working relationships.
  • meet multiple deadlines in a fast-paced and demanding work environment.
  • be passionate about educational equity.
  • be passionate about using data to drive policy and practice.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.