Data Analyst 1 - Hybrid Opportunity in England
Data Analyst 1 - Hybrid Opportunity

Data Analyst 1 - Hybrid Opportunity in England

England Full-Time 60000 - 84000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data to support local journalism and collaborate on impactful projects.
  • Company: Stanford University, a leader in education and research.
  • Benefits: Career development, health benefits, generous time-off, and fitness classes.
  • Why this job: Join a mission-driven team making a difference in local news.
  • Qualifications: Bachelor’s degree and experience in a quantitative field.
  • Other info: Hybrid work option available with excellent career growth opportunities.

The predicted salary is between 60000 - 84000 ÂŁ per year.

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.

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, 2‑year fixed‑term exempt position. This position will be based on the Stanford campus and will be considered for an option of telecommuting (hybrid of working on‑site and off‑site), subject to operational need.

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.
  • 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.

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.

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.

Salary

The expected pay range for this position is $80,148.00 to $99,773.00 per annum. The actual pay will be prorated based on the 95% FTE.

Benefits

  • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course.
  • 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.

Equal Employment Opportunity

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.

Reasonable Accommodations

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.

Data Analyst 1 - Hybrid Opportunity in England employer: Stanford University

Stanford University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the School of Humanities and Sciences. Employees benefit from extensive career development opportunities, generous time-off policies, and access to world-class facilities, all while contributing to impactful research and education in a supportive environment. The unique location on the Stanford campus provides a rich backdrop for personal and professional growth, making it an ideal place for those seeking meaningful and rewarding employment.
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Contact Detail:

Stanford University Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst 1 - Hybrid Opportunity in England

✨Tip Number 1

Network like a pro! Reach out to current employees at Stanford or in the journalism field. A friendly chat can give us insider info and maybe even a referral!

✨Tip Number 2

Prepare for the interview by researching Big Local News and its mission. We want to show that we’re not just interested in the job, but also passionate about supporting local journalism.

✨Tip Number 3

Practice common data analyst interview questions. We should be ready to discuss our experience with data collection and analysis, so let’s brush up on those skills!

✨Tip Number 4

Apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re serious about joining the team at Stanford.

We think you need these skills to ace Data Analyst 1 - Hybrid Opportunity in England

Data Collection
Data Analysis
Data Management
Data Cleaning
Analytical Software
Database Management Systems
Data Mining
Reporting Software
Communication Skills
Attention to Detail
Problem-Solving Skills
Collaboration
Statistical Analysis
Organisational Skills

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst position. Highlight your relevant experience in data collection and analysis, and show how your skills align with our mission at Big Local News.

Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Use specific examples of how you've used analytical software or managed datasets in previous roles. We want to see your problem-solving skills in action!

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your application is seen by the right people. Plus, it’s super easy to do!

How to prepare for a job interview at Stanford University

✨Know Your Data Tools

Familiarise yourself with the analytical software and database management systems mentioned in the job description. Be ready to discuss your experience with these tools, as well as any specific projects where you’ve used them to collect or analyse data.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've identified and resolved data discrepancies in past roles. Highlight your logical approach to problem-solving and how it led to successful outcomes, especially in a deadline-oriented environment.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. Since the role involves collaborating with non-technical staff, being able to convey your findings clearly will be crucial. Consider preparing a few key points or stories that illustrate your communication skills.

✨Research Big Local News

Dive into the mission and recent projects of Big Local News. Understanding their goals and challenges will help you tailor your responses during the interview and demonstrate your genuine interest in contributing to their mission of supporting local journalism.

Data Analyst 1 - Hybrid Opportunity in England
Stanford University
Location: England
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  • Data Analyst 1 - Hybrid Opportunity in England

    England
    Full-Time
    60000 - 84000 ÂŁ / year (est.)
  • S

    Stanford University

    10000+
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