Data Analyst

Job description

Data Analyst

Stanford University

Job Number:

Data Analyst

Job Code: 4744

Job Grade: G

FTE: 100%, exempt, fixed term - 1 year

School of Engineering, Electrical Engineering Department

Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology, communications, health care, energy, business and beyond. Our faculty and students are creative risk-takers who pursue excellence across a breadth of disciplines. Our alumni include some of the world's most successful leaders in technology and business. Our staff are critical to enabling Stanford Engineering to accomplish its mission: seeking solutions to some of the world's most urgent challenges and educating leaders who will make the world a better place through the power of engineering principles, techniques and systems.

Electrical Engineering (EE) is one of the largest departments in the School of Engineering, with more than 60 faculty and 1000 undergraduate, masters and doctoral students (website: EE is seeking a data analyst to work with faculty and students on neuroelectrical and neurocomputational engineering projects. The data analyst will verify and organize large data archives and aid in the development of software tools, making them readily accessible internally and externally to Stanford.

Your responsibilities would include:

  • Curate and standardize a large database of neurophysiological recordings, including producing data summaries and visualizations.

  • Document data organization and internal formatting standards for long-term use.

  • Develop interfaces for easily accessing and querying datasets.

  • Aid in developing and documenting a software package for statistical modeling, especially making tutorials to using the curated database of neural data.

  • Address code bugs and documentation issues raised by end-users of this software.

  • Contribute to training sessions for new users of this software and database.

To be successful in this position, the candidate will

  • Possess a BS degree in information science and optimization; an MS degree is preferred.

  • Be comfortable manipulating data sets, especially neural data sets, with the latest data toolsets.

  • Be able to analyze and work with custom coding tools.

  • Be proficient in Python, C++, and MATLAB.

  • Have excellent organizational skills and attention to detail.

  • Have strong verbal and written communication skills.

  • Be able to work in a team setting.

*Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

Why Stanford is for You

We provide market competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our unique perks align with what matters to you:

  • Freedom to grow. As one of the greatest intellectual hubs in the world, take advantage of development programs, tuition reimbursement plus $800 you receive annually towards skill-building classes, or audit a Stanford course. Join a TedTalk, film screening, or listen to a renowned author or leader discuss global issues.

  • A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care and caregiving support.

  • A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes.

  • Discovery and fun. Stroll through historic sculptures, trails, and museums. Create an avatar and participate in virtual reality adventures or join one with fellow staff on Stanford vacations!

  • Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computing, cell phones, outdoor recreation, travel, entertainment, and more!

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

Additional Information

  • Schedule: Full-time
  • Job Code: 4744
  • Employee Status: Fixed-Term
  • Grade: G
  • Requisition ID: 84574


Location: School of Engineering, Stanford, California, United States
Classification Level:

To be considered for this position please visit our web site and apply on line at the following link:

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

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Job No:
Posted: 9/11/2019
Application Due: 9/11/2031
Work Type: