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Stanford University: Data Analyst


Work with wide-range of challenges by analyzing unique expenditure datasets, produce insights to help reduce spending and improve reimbursements, payments, and contractors payments.



Stanford University Company: Stanford University
Location: Palo Alto, CA
Web: www.stanford.edu


Data Analyst - Fixed-Term - Procurement Services

As a Data Analyst at the Financial Management Services (FMS) at Stanford University, you will have the opportunity to work with wide-range of challenges by analyzing unique expenditure datasets. You will produce insights that support our goal to save in the Stanford University expenditures as well as to improve the system of reimbursements, payments, and contractors.

Stanford University

To be successful in this role you need to be highly analytical, have a passion for querying databases in SQL/R/Python and be comfortable structuring ambiguous requests. You must be able to handle multiple tasks, across the different schools and departments, in a fast paced environment. You must have worked on complex large data analysis projects and reported meaningful conclusion. You need to be able to work under tight deadlines in a fast paced environment and be able to effectively communicate across different functions.

These projects generally include:
  • Turning a general business question into data-analysis project and determining what data sample/s could be gathered to answer it.
  • Writing Python, R, and/or SQL scripts to extract the necessary data from datasets and other resources.
  • Analyzing the data to create business insights by applying machine learning practices, such as regressions, clustering, and anomaly detection.
  • Participating in discussing on-going projects and proposing future ones.

 
Responsibilities:
  • The primary responsibility for this person is to provide customized analysis to help us work with our most valuable prospects and internal customers.
  • Analyst is expected to become expert in Stanford expenditure system and to use several data sources to extract the relevant data.
  • Must understand basic statistical concepts and whether the findings are statistically compelling.
  • Must feel comfortable with writing scripts to reanalyze data.
  • Capable of turning data into gold and telling the story of the data analysis project.

 
Qualifications
  • Top notch analytical skills, so you must be highly driven and execution-focused; we are looking to get a lot done quickly and well.
  • 3+ years of experience with Python (or Ruby), R, SAS, SQL, and MySQL relational databases.
  • 2+ years of experience in Linux.
  • 2+ years of experience in machine learning.
  • 3+ years of experience in data visualization.
  • 2+ years of experience with OBI.
  • 2+ years of experience with PowerPoint/Excel/Word.
  • Experience providing actionable insights to internal customers.
  • Extremely well organized and capable of handling multiple ad-hoc requests simultaneously.
  • Excellent interpersonal, communication, writing and presentation skills.
  • B.Sc. in statistics, math, physics, computer science, economy or equivalent is required (M.Sc. or Ph.D. preferred but not required).
  • Preferred experience in HTML and/or Web design.
  • Preferred experience with big-data technology such as Apache Hadoop, Hive, Pig, and NoSQL.

 
We are not able to provide relocation or sponsorship for this position.

_Contact_:
Apply Here.

Stanford University is an equal employment opportunity and affirmative action employer and is committed to recruiting and hiring qualified women, minorities, protected veterans and individuals with disabilities.

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