Data Analytics Developer

The University of Virginia Darden School of Business, one of the world's leading business schools, seeks a Data Analytics Developeron the Strategic IT Data & Analytics team. This techno functional role conducts both business analysis and development activities. The ideal candidate is committed and collaborative, able to understand and synthesize business needs and success drivers into transformational dashboards and reports. The ideal candidate is also a teacher, training designated users on the distributed team on data analytics development and best practices.

This position is located in-person in Charlottesville, VA with some flexibility for hybrid work.

Specific Responsibilities:

Business Analysis

• Translate business requirements to technical resources and translating technical documentation into terminology & language understood by the business.
  

Data Analysis

• Explore large, complex, & loosely defined datasets to create & develop dashboards.
  

Requirements Gathering

• Lead business analysis & requirements gathering activities to capture & document data user stories, use cases, workflows & metrics that inform success for the Darden community.
  
• Create requirements/specifications for ETL developers to build data pipelines.
  

Data Modeling

• Develop data models to make data usable & value-added for analytics.
  
• Develop and maintain tables and views in SQL to support data transformation and data shaping.
  

Power BI Development

• Develop and administer Power BI deployment pipelines.
  
• Maintain the Power BI security framework.
  

Relationship Management

• Work collaboratively as a trusted partner with team members in supported business units to maintain existing & deliver new analytics solutions.
  
• Teach & advise team members in supported business on analytics development & practices.
  
• Lead community gatherings for Power BI developers focused on tips & best practices.
  

Education and Professional Experience:

• Bachelor's degree in Computer Science, MIS, Computer Engineering, Business Administration or related discipline needed with at least five years of professional work experience. Relevant experience may be considered in lieu of a degree.
  
• Knowledge and experience working with Power BI or other business intelligence tools
  
• Knowledge and experience working with SQL
  
• Ability to design, document, and communicate models
  
• Comfortable working in an agile, iterative development process
  
• Self-motivated & self-managing, with strong organizational skills
  
• Knowledge and experience working with R and/or Python preferred
  
• Knowledge and experience working with API & web services preferred
  
• Knowledge and experience in statistical modeling preferred
  

To Apply:

Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs search for requisition R0042438. Internal applicants must apply through their UVA Workday profile. Complete the application, and upload the following Required materials:

• Resume
  
• Cover letter detailing your interest in the position
  

***Please note that you MUST upload ALL REQUIRED DOCUMENTS into the CV/Resume box, into which multiple documents can be uploaded. Applications that do not contain all of the required documents will not receive full consideration.***

For this position, the selected candidate will need to complete the required background checks prior to the start date of the position.

This position will remain open until filled.

Questions regarding the application process should be directed to Marcus Rozier, Academic Recruiter, at hjv5vm@virginia.edu .

COVID Vaccination Requirement and Guidelines

Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.