Research Data Analyst
Job Description
The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Research Data Analyst 1 to join our team. The Research Data Analyst 1 will manage and analyze large amounts of data collected through the RAPID Survey Project, including performing statistical analysis and preparing reports for publication.
Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and limited travel may be required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.
ABOUT US
Housed at Stanford Graduate School of Education, the Stanford Accelerator for Learning (SAL) is a research hub that connects experts from the sciences, medicine, engineering, law, and humanities to expedite learning solutions for all learners. The first university-wide initiative to connect Stanford scholars across disciplines with external partners in the field, SAL bridges research, innovation, practice, and policy to achieve true system change. SAL is currently focused on six areas of research that show high need and high promise for transformational change. These areas include digital learning, early childhood education, learning differences, equity in learning, policy and systems change, and adult and workforce learning.The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start.
POSITION SUMMARY
The Research Data Analyst 1 will manage and analyze large amounts of data collected through the RAPID Survey Project.
The RAPID Survey Project is a program of two national surveys of households with children under age 6 and the childcare workforce. Under the direction of Dr. Philip Fisher, RAPID administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 16,000 households and 3,200 childcare providers in all 50 states. The survey and data are used to inform policy, advocacy, academic, and practitioner audiences on the experiences, challenges, and strengths of caregivers of young children and providers beyond those immediately related to the pandemic, to support data-driven policies and programs that equitably and effectively serve families, providers and young children. RAPID is currently applying its rapid-cycle survey development, data collection and data dissemination processes in partnership with communities across the US. RAPID partners may represent neighborhoods, cities, counties, states and organizations.
In close coordination with project managers, the Research Data Analyst 1 will perform rapid-cycle statistical analyses, create insightful data visualizations, and prepare statistical reports using data collected through the RAPID surveys. The Research Data Analyst 1 will perform analysis on data from the RAPID monthly national household survey, monthly national child care provider survey, and data from RAPID’s place-based surveys and other survey partnerships. The Research Data Analyst 1 will also be involved in preparing data dissemination products, such as fact sheets and data briefs, for publication. We are looking to hire two full-time candidates for this position.
Your primary responsibilities will include:
- 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.
- 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.
To be successful in this position, you will bring:
- 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.
- 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.
Preferred Education & Experience:
- Degree in psychology, education, developmental science, statistics, or equivalent combination of education and experience in a related field of social science
- Experience in a quantitative discipline such as statistics, data science, or quantitative psychology.
- Experience using statistical software packages (R, SPSS, etc.)
- Experience in advanced statistics, research methodology, and survey data analysis in social science fields (e.g., psychology, developmental science, education)
- Strong data visualization skills
- Familiarity with collaborative tools (e.g., Slack, Google Workspace, Dropbox)Ability to work effectively with a geographically distributed team
- Ability to communicate effectively with both technical research team and non-technical RAPID advisors.
- Experience or interest in early childhood education research
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.
This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $54,800 to $83,000 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!
How to Apply:
We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application.
Finalist must successfully complete a background check prior to working at Stanford University. This is a fixed-term position with an end date of one year and is renewable based on performance and fundingCandidates must be eligible to work in the US. Visa sponsorship is not available for this position.
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.
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 [email protected]. 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.
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