Senior Business Intelligence Analyst
Required Qualifications:
- Bachelor's degree in data analytics, data science, or a related field (e.g., computer science, statistics, applied mathematics, business analytics) from an accredited institution, or an equivalent combination of education and related experience.
- Experience (typically 1 – 3 years) with hands-on experience in data science and analysis, supporting data science platforms and users, including requirements gathering, design and development of dashboards and reports using BI tools.
- Expertise in Power BI/Tableau development, specializing in dashboard design, data visualization, and storytelling, with strong hands-on experience in calculation functions and data modeling best practices.
- Ability to integrate Power BI/Tableau with cloud services, APIs, and other enterprise data sources.
- Ability to create, optimize, and maintain ETL packages for data integration across enterprise systems using tools like SSIS, AWS Glue, or Informatica.
- Design, develop, and maintain custom SSRS reports and dashboards, including parameterized, drill-down, and interactive reports to support business decision-making.
- Strong knowledge of SQL with experience in relational databases like Oracle, MSSQL, and Postgres, demonstrating proficiency in data modeling techniques and analyzing large datasets.
- Knowledge of programming languages commonly used for data analysis, such as Python.
- Demonstrated ability to meet deadlines, balance multiple priorities, and to ensure a high level of accuracy in work produced is required.
- Possesses strong interpersonal skills with the ability to work effectively across various teams, and excels in communicating complex information clearly and confidently, both orally and in writing, to technical and non-technical audiences.
- Professional experience working effectively with individuals from a variety of backgrounds and perspectives.
Desired Qualifications
- Experience with Windows/Linux servers, specifically in hosting BI solutions and implementing deployment best practices.
- Experience with managing and supporting large operational departments.
- Experience in integrating disparate data sources and unifying them for analytics and insights.
- Experience in SSAS, and DAX for data modeling, analysis, and reporting in Power Pivot.
Position and Application Details:
In order to be considered for an interview, applicants must upload the following documents and mark them as a “Relevant File” to the submission:
- Resume
- Cover Letter
Job openings are posted for a minimum of 14 calendar days and may be removed from posting and filled any time after the original posting period has ended.
Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check. Up to 5 professional references will be requested at a later step in the recruitment process.
For additional questions, please contact Brooke McMurl at brooke-mcmurl@uiowa.edu or 319-467-0719.
Equal opportunity/affirmative action employer
The University of Iowa is an equal opportunity/affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, religion, national origin, age, sex, pregnancy (including childbirth and related conditions), disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, or associational preferences.
Persons with disabilities who need assistance or accommodations with the application or interview process may contact University Human Resources/Faculty and Staff Disability Services, (319) 335-2660 or fsds@uiowa.edu. For jobs in UI Health care, please contact UI Health care Leave & Disability Administration at 319-356-7543.
