Business Intelligence Analyst - Office of Assessment and Decision Support (OADS) – Georgetown University
Georgetown University
- USA
- $54,616-80,730 per year
- Permanent
- Full-time
- Collaborating regularly and productively with University Information Services and its Business Intelligence team to develop and implement strategy for data and reporting infrastructure that aligns with University priorities
- Establishing and maintaining positive working relationships with data stewards in key administrative areas such as Office of the University Registrar, Student Financial Services, Human Resources, Financial Affairs
- Serving as a knowledgeable and sought-after resource for teams/departments outside of OADS that have data, reporting, visualization and dashboard needs
- Responding professionally and in a timely manner to requests for data/reporting needs from internal stakeholders
- Bachelor’s degree in computer science, statistics, analytics, management/business information systems or a related field
- At least 5 years of experience in a large business/enterprise setting
- Experience with development and maintenance of data warehouses and ETL/ELT processes, as well as business intelligence/reporting tools
- Proficiency in SQL and relational database concepts
- Proficiency in one or more business intelligence and data visualization tools - e.g., Power BI, Tableau, Looker, and Cognos
- Advanced proficiency with Excel - and proficiency with office productivity apps such as Google Workspace and/or Microsoft Office 365
- Excellent interpersonal, problem-solving, and oral and written communication skills
- Ability to work independently, manage multiple projects simultaneously, and meet established deadlines
- Attention to detail and accuracy
- Demonstrated ability to learn quickly and work efficiently; and adept at quickly learning and effectively using new tools and techniques
- Ability to seek help from and provide help to others when needed
- Ability to make positive contributions to team success: to provide and receive constructive feedback, to follow established team practices/guidelines for workflows, documentation and deliverables; and to actively participate in fostering a positive, supportive work environment
- Experience with cloud-based data warehouse environments (e.g., Google Cloud Platform, Snowflake, Redshift, and Azure) and ETL/ELT tools (e.g., Apache Beam, Mulesoft, and Fivetran)
- Experience with Posit Team, R, Tidyverse, and Shiny development
- Experience with enterprise database applications such as Banner, Workday, Slate, and Salesforce
- Proficiency with Python and JavaScript
- Experience with Basic Linux server administration and command line interface