"Data Analyst 1"

Position Summary

The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Data Analyst 1 to join our team. The 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 is the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include: adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change.

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 Data Analyst 1 will manage and analyze large amounts of data collected through the RAPID Survey Project.

RAPID began as a program of two national surveys of households with children under age 6 and the child care workforce. Led by Philip Fisher, Stanford Center on Early Childhood Director, the RAPID National Survey administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 25,000 households and 13,000 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 now implemented in community, state, and national contexts, working in partnership with local and state organizations. The RAPID datasets are extensive and quickly growing, and include both quantitative and qualitative data.

In close coordination with project managers, the 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 Data Analyst 1 will perform analysis primarily on data from the RAPID States projects and provide analytic support to the monthly national household survey, monthly national child care provider survey, and RAPID's place-based surveys and other survey partnerships. The Data Analyst 1 will also be involved in preparing data dissemination products, such as fact sheets and data briefs, for publication.

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.
• 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.

Required Qualifications

• 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)
• Experience with qualitative data analysis methods, coding, and interpretation
• 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

Physical Requirements

• Sitting in place at the computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.

The expected pay range for this position is $53,223 to $78,503 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. 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.

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 resume 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 funding.

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

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.