University of Washington - Washington, DC

posted 4 months ago

Full-time - Entry Level
Washington, DC
Educational Services

About the position

The Database Analyst at the University of Washington's School of Law will play a crucial role in the development, execution, and continuous improvement of the department's database and related educational platforms. This position requires a comprehensive understanding of database needs and the ability to propose effective software solutions. The Database Analyst will be responsible for designing, creating, maintaining, and backing up databases and applications, including data entry systems. This role is essential for ensuring the integrity and performance of the databases that support the educational initiatives of the department. In this position, the Database Analyst will oversee all aspects of database development strategy, including the generation and dissemination of data. The analyst will design and develop in-house relational database applications and assist management in creating database applications for various initiatives. This includes overseeing the data entry process and integrating the database with the program's web server as necessary. The analyst will also maintain database performance, evaluate its operation, and implement corrections as needed to ensure optimal functionality. User support, training, and documentation for application development will also be key responsibilities. The Database Analyst will actively track metrics and analyze demand, satisfaction, and outcomes associated with departmental database initiatives. This includes managing assigned databases and assisting with custom surveys, as well as inputting data, updating records, and running reports in coordination with colleagues at Washington University in St. Louis (WUSTL). The role may also involve performing other duties as assigned, contributing to the overall success of the department's data management efforts.

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.

Requirements

  • 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.
  • Knowledge of software development languages, database and query languages.
  • Knowledge of office technology including word processing, spreadsheet and electronic communication.
  • 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 architecture.
  • 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.

Nice-to-haves

  • Master's Degree preferably in the areas of Computer Science, Finance, Statistics or Related discipline.
  • Master's of Business Administration.

Benefits

  • Up to 22 days of vacation, 10 recognized holidays, and sick time.
  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.
  • Free Metro transit U-Pass for eligible employees.
  • Forgivable home loan of up to $12,500 for closing costs and a down payment for homes in eligible neighborhoods.
  • Defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.
  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!
  • 4 weeks of caregiver leave to bond with your new child.
  • Family care resources for continued childcare needs.
  • Coverage of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with the university.
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