Database Analyst - School of Law

Scheduled Hours

37.5

Position Summary

The Database Analyst will be responsible for the development, execution and continuous measurable improvement of the department’s “database and related educational platforms. Analyze database needs and propose software solutions. Develops, designs, creates, maintains and backs up databases and applications, including data entry systems.

Job Description

Primary Duties and Responsibilities

• Responsible for all assigned database development strategy, generation and dissemination.
• Designs and develops in-house relational database applications.
• Assists management in designing database applications for initiatives and oversees the related data entry process as needed.
• Assists in integrating the database with the program web server as needed.
• Maintains database development, maintenance, performance evaluation and correction on databases ensuring proper operation, integrity and performance.
• Assists in user support, training and documentation for applications development.
• Actively tracks metrics and analyzes demand/satisfaction/outcomes associated with departmental database initiative; manages assigned databases and assists with custom surveys.
• Inputs data, updates records, runs reports, in coordination with WUSTL colleagues.
• Performs other duties as assigned.

Preferred Qualifications

• Knowledge of software development languages, database and query languages.
• Knowledge of office technology including word processing, spreadsheet and electronic communication.
• Master’s Degree preferably in the areas of Computer Science, Finance, Statistics or Related discipline.
• Master's of Business Administration.
• Six or more years of experience in Data Analytics, Software Development or Finance.
• Knowledge of relational databases and SQL; Database design, creation, manipulation and query.
• Proven knowledge of statistical tests and linear regression and relevant.
• Clear understanding of multi-tier Web application Analysture.
• Experience with one or more general purpose programming languages including but not limited to: Java, C/C++, C# or Python.
• Knowledge of shell scripting and AWS platform.
• Statistical tools such as Stata, R, SAS, SPSS.
• Experience analyzing data and translating business requirements into technical specifications.
• Experience in building scalable web applications / Strong web development skills, including Java, J2EE full stack (mainly Spring) with UI expertise.
• Thorough knowledge of Hadoop, SQL, NOSQL, R and Python experience.
• Knowledge of one or more of the following: machine learning, data mining, information retrieval, advanced statistics or natural language processing.
• Self-starter with excellent project management, technical, communication (both written and oral) and interpersonal skills.
• Self-motivated individual driven by challenge with the ability to work independently with a high degree of reliability, accuracy and productivity.
• Able to work independently in an environment of multiple and conflicting priorities and projects; anticipates and resolves problems and updates supervisor on status of projects.
• Good professional judgment, initiative and confidence.
• Work independently but have the ability to function as part of a team, coordinating with multiple constituencies.

Required Qualifications

Equivalent of Bachelor’s Degree in Computer Science, Data Science, Statistics, Business Administration or any other analytical/quantitative field with one to two years of experience in various databases.

Grade

G11

Salary Range

$53,100.00 - $90,600.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu