Data Analyst 1 Hybrid or Remote Opportunity

This position has been deemed critical by the School of Humanities and Sciences Dean's Office and is exempt from the hiring freeze.

The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education, no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day.

Department/Program Description:

Big Local News, situated in the journalism program in the Department of Communication at Stanford, allows journalists - whether freelancers, reporters from one company or collaborators across multiple news organizations - to share data and work together as they report out stories. Our work is designed to be journalist-driven and transformative, to help find solutions for local newsrooms' ability to produce accountability journalism and create impact. The Stanford Journalism program's mission is to serve the public's need for facts in a just, self-governed society. We develop tools to make it easier to discover important stories and lower the cost of accountability journalism through better use of data and algorithms. We aim to be pioneers in the field of computational journalism, partnering with media and technology companies and with faculty and students from the social sciences and engineering.

The Department of Communication is seeking a Data Analyst 1. The Data Analyst 1 will work under general supervision of the Director of Big Local News within the department and conduct data collection, analysis and training in service of Big Local News' mission of supporting local journalism and partnering where applicable with researchers on data analyses for that purpose.

This is a 95% FTE, 1-year fixed-term, exempt position with the possibility of renewal. This position can be either remote or based on the Stanford campus.

If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences.

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.
• 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.
• Identify new sources of data and methods to improve data collection, analysis and reporting.
• 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.
• Other duties may also be assigned.

EDUCATION AND EXPERIENCE:

Bachelor''s degree and one year of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. A Master's degree in journalism is preferred.

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.

In addition, preferred requirements include:

Knowledge of prediction markets and analysis of data tied to prediction markets.

WORKING CONDITIONS:

Constantly perform desk-based computer tasks.

Frequently stand/walk, sit, use a telephone, and grasp lightly/fine manipulation.

Occasionally grasp forcefully, writing by hand.

Rarely sort/file paperwork; lift/carry/push/pull objects that weigh up to 10 pounds.

Hybrid or Remote

The expected pay range for this position is $48,089.00 to $89,796.00 per annum. The actual pay will be pro-rated based on the 95% FTE.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Why Stanford is for You

Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:

Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.

A caring culture. We provide superb retirement plans, generous time-off, and family care resources.

A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.

Discovery and fun. Stroll through historic sculptures, trails, and museums.

Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more

The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Additional Information

• Schedule: Part-time
• Job Code: 4744
• Employee Status: Fixed-Term
• Grade: G
• Requisition ID: 108690
• Work Arrangement : Hybrid Eligible, Remote Eligible

Skills:
Algorithms, Analysis Software, Budgeting, Communication Skills, Cost Control, Data Analysis, Data Collection, Data Management, Data Mining, Data Mining Software, Data Quality, Data Sets, Database Management Software/Systems (DBMS), Detail Oriented, Documentation, Educational Administration, Entertainment and Media, Film, Fitness, Incentive Programs, Information Technology & Information Systems, Journalism, Legal, Local News, Metrics, Multimedia, Newsroom, Organizational Skills, Presentation/Verbal Skills, Problem Solving Skills, Programming Languages, Reconciliation, Reporting Dashboards, Search Engines, Social Engineering, Social Sciences, Statistics, Structured Data, Time Management, Training/Teaching, User Interface/Experience (UI/UX), Writing Skills

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