At a Glance
- Tasks: Analyse large datasets and create impactful visualisations for early childhood research.
- Company: Join Stanford's Accelerator for Learning, a leader in educational innovation.
- Benefits: Competitive salary, comprehensive rewards package, and opportunities for professional growth.
- Why this job: Make a difference in early childhood education through data-driven insights.
- Qualifications: Bachelor’s degree in relevant fields and experience with analytical software.
- Other info: Dynamic role with potential for renewal based on performance.
The predicted salary is between 40000 - 60000 ÂŁ per year.
The Stanford Center on Early Childhood (SCEC), an initiative of Stanford’s Accelerator for Learning, seeks a full‑time Data Analyst I. The Analytic role focuses on managing and analyzing large datasets collected through the RAPID Survey Project, performing statistical analyses, creating data visualizations, and preparing technical reports for publication and policy audiences.
Core Duties
- Identify and select usable data from complex patterns; generate reports, charts, graphs, and tables through querying data repositories.
- Validate data for quality, distribute reports to agencies and researchers, and provide data interpretation as needed.
- Collect, manage, and clean datasets using programming languages to ensure data integrity.
- Research and reconcile data discrepancies among various information systems and reports.
- Collaborate with data managers to define and implement data standards and common data elements.
- Assist with identifying new data sources and methods to improve data collection, analysis, and reporting.
Qualifications
- Bachelor’s degree and one year of experience or a combination of education and relevant experience in quantitative disciplines such as economics, statistics, or engineering.
- Basic knowledge and demonstrated experience using analytical software, database management systems, reporting software, and data mining tools.
- 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.
- Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.
Preferred Education & Experience
- Degree in psychology, education, developmental science, statistics, or related social science fields.
- Experience in quantitative disciplines such as statistics, data science, or quantitative psychology.
- Experience using statistical software packages (R, SPSS, etc.).
- Experience with advanced statistics, research methodology, and survey data analysis in social science fields.
- Strong data visualization skills.
- Experience or interest in early childhood education research.
Physical Requirements
- Sitting at the computer for long periods with extensive keyboarding.
- Occasional telephone use.
- Rarely writing by hand.
Compensation and Benefits
Expected pay range: $53,223 – $78,503 per annum. Stanford provides a comprehensive rewards package. Specific benefits for this role will be discussed during the hiring process.
How To Apply
Submit an online application, cover letter, and résumé. Finalists must complete a background check prior to employment. This fixed‑term position has an end date of one year and may be renewed based on performance and funding. Candidates must be eligible to work in the U.S.; visa sponsorship is not available. Stanford will provide reasonable accommodations to applicants and employees with disabilities.
Equal Employment Opportunity Statement
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.
Job Duty Disclaimer
Specific duties listed are typical examples of work performed in this classification. Duties may vary without changing the overall nature and scope of the job. Employees may also perform other duties as assigned.
Data Analyst 1 in England employer: Stanford University
Contact Detail:
Stanford University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst 1 in England
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend industry events, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analyses. This is a great way to demonstrate your abilities beyond just a CV and can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis. Think about how you can explain complex data concepts in simple terms, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Data Analyst 1 in England
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to customise your cover letter for the Data Analyst I position. Highlight your relevant experience and skills that match the job description, especially your analytical software knowledge and data visualisation skills.
Showcase Your Data Skills: In your résumé, emphasise your experience with programming languages and statistical software like R or SPSS. We want to see how you've managed and analysed datasets in previous roles, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. Remember, we appreciate strong communication skills!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the position. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Stanford University
✨Know Your Data Tools
Make sure you’re familiar with the analytical software and database management systems mentioned in the job description. Brush up on your skills with tools like R or SPSS, as being able to discuss your experience with these will show you’re ready to hit the ground running.
✨Prepare for Technical Questions
Expect questions that dive into your understanding of data validation, cleaning, and analysis. Be ready to explain how you’ve handled data discrepancies in the past and how you ensure data integrity. Use specific examples from your experience to illustrate your points.
✨Showcase Your Communication Skills
Since the role involves preparing reports and communicating findings, practice explaining complex data concepts in simple terms. Think about how you can convey your previous work to a non-technical audience, as this will demonstrate your ability to meet user requirements effectively.
✨Research the Organisation
Familiarise yourself with the Stanford Center on Early Childhood and their RAPID Survey Project. Understanding their mission and current projects will help you tailor your responses and show genuine interest in contributing to their goals.