Data Management Specialist

The Stanford University Graduate School of Education (GSE) is seeking a full-time Data Management Specialist to work with the GSE Information Technology team to assist with our school's data management initiatives, data governance, data analysis, and to facilitate collaboration and communication among data researchers.

You will be offered a hybrid schedule, in which you will be required to be onsite at least 2-3 days per week. Interested applicants should submit a resume and a cover letter describing why you are interested in this position at this stage of their career.

ABOUT US

The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice and policy. Our community includes over 60 faculty, 400 students, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact.

POSITION SUMMARY

Reporting to the Assistant Director of Data Science & Cloud Architecture will manage data governance, data strategies, and assist with data analysis projects. They will play a key role in the Graduate School of Education research data management efforts.

Typical responsibilities include:

• Data Analysis

• Support researchers with best practices on using data analytics tools, including data preparation, data modeling, and visualization.

• Create complex charts and databases, perform statistical analyses, and develop graphs and tables

• Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.

• 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.

• Provide documentation based on audit and reporting criteria to investigators and research staff.

• Serve as a resource for non-routine inquiries such as requests for statistics or surveys.

• Data Governance

• Establish and enforce data governance policies and procedures to ensure data accuracy, consistency, security, and compliance.

• Assist in developing and maintaining the organization's data architecture, including databases and data warehouses.

• Acts as the liaison between the Dean's Office, university research units, centers, and data stakeholders.

The job duties listed are typical examples of work performed by positions in this job classification 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.

Minimum education and experience requirements include:

• Bachelor's degree (in fields of Education Data Science or related discipline) or a combination of three years of education and relevant experience.

• Substantial experience using and applying analytical software, database management system software, and data mining software.

• Exceptional Interpersonal skills. Communicate with our partners in government, school districts, agencies, and industry representatives.

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

Desirable qualifications include:

• Strong analytical skills, including experience with research approaches and quantitative modeling.

• Fluency in Python and/or R, or fluency in other scripting languages and experience in debugging them.

• Fluency is Stata, SPSS

• Experience with data extraction tools (SQL/NoSQL/Python) queries to answer research and analysis questions.

• Experience with high performance/systems (HPC) languages and techniques.

• Familiarity with academic research methodologies and protocols

• Demonstrated ability to work both independently and as part of a team on multiple concurrent projects. Must be able to identify priorities and maintain awareness of multiple deadlines.

• To be independent, proactive, and have initiative.

Work Standards:

• Interpersonal Skills: Demonstrates the ability to work well with 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.

Successful candidates will be required to complete a background check prior to working at Stanford University.

Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.

The expected pay range for this position is $86,000 to $115,000 per annum. 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 (https://cardinalatwork.stanford.edu/benefits-rewards) 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

We pride ourselves in being a culture that encourages and empowers you.

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: Full-time

• Job Code: 4752

• Employee Status: Regular

• Grade: I

• Requisition ID: 103214

• Work Arrangement : Hybrid Eligible