Research Data Analyst

Stanford University is seeking a Data Analyst 1 (two year fixed term / onsite position) to be under general direction, process a wide variety of analytical data and produce routine, single data sources' information requests.

PHYSICAL REQUIREMENTS*:

• Constantly perform desk-based computer tasks.
• Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less.
• Occasionally write by hand, twist, bend, stoop and squat.
• Rarely stand, walk, reach or work above shoulders and use a telephone.
• • Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

May work extended hours during peak business cycles.

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University''s Administrative Guide, http://adminguide.stanford.edu.

Core Duties:

• Identify and select usable data from subtle and complex data patterns. 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.

• Utilize fundamental processes and methods to validate data to ensure high quality product. Distribute reports to applicable agencies, researchers, management, and other internal end-users and provide interpretation of data when needed.

• Develop and produce dashboards, key performance indicators, and other recognized metrics used to monitor and report organizational performance. Collect and analyze metric data.

• Collect, manage, and clean datasets using an extraction and reporting programming language to ensure data integrity.

• Research and reconcile data discrepancies occurring among various information systems and reports.

• Collaborate with data managers to define and implement data standards and common data elements for data collection.

• Assist with identifying new sources of data and methods to improve data collection, analysis, and reporting.

• May test prototype software and participate in the approval and release process for new software.

Minimum Education:

Bachelor's degree.

Minimum Experience:

One year of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering.

Knowledge, Skills and Abilities:

• Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.

• Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.

• Strong listening, verbal, and written communication skills.

• Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail.

• Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question.

• Ability to work with data of varying levels of quality and validity.

• Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.

• Ability to work effectively with multiple internal and external customers.

Core Duties:

• Identify and select usable data from subtle and complex data patterns. 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.

• Utilize fundamental processes and methods to validate data to ensure high quality product. Distribute reports to applicable agencies, researchers, management, and other internal end-users and provide interpretation of data when needed.

• Develop and produce dashboards, key performance indicators, and other recognized metrics used to monitor and report organizational performance. Collect and analyze metric data.

• Collect, manage, and clean datasets using an extraction and reporting programming language to ensure data integrity.

• Research and reconcile data discrepancies occurring among various information systems and reports.

• Collaborate with data managers to define and implement data standards and common data elements for data collection.

• Assist with identifying new sources of data and methods to improve data collection, analysis, and reporting.

• May test prototype software and participate in the approval and release process for new software.

Minimum Education:

Bachelor's degree.

Minimum Experience:

One year of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering.

Knowledge, Skills and Abilities:

• Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.

• Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.

• Strong listening, verbal, and written communication skills.

• Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail.

• Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question.

• Ability to work with data of varying levels of quality and validity.

• Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.

• Ability to work effectively with multiple internal and external customers.