Data Analyst 2

Location: Palo Alto, CA

Under minimal supervision, perform the most complex technical work associated with a wide variety of analytical data and produce routine, single data sources’ information requests.

Core Duties
  • Work under consultative or self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Distribute and disseminate reports to applicable agencies, researchers, management and other internal end-users.
  • Devise methods for identifying data patterns, trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements.
  • Design and customize reports based upon data in the database.
  • Create non-routine databases and their related information summary; develop algorithms and statistical model; and perform statistical analyses appropriate to complex data and reporting requirements.
  • Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
  • Lead the implementation of data standards and common data elements for data collection.
  • Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics.
  • May test prototype software and participate in approval and release process for new software.
Minimum Education and  Experience Required
Bachelor’s degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
Minimum Knowledge, Skills and Abilities Required
  • In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
  •  Expert ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.
  • Basic statistical ability
  • Strong listening, verbal and written communication skills.