The University of Rochester's URMC Finance Decision Support department is looking to hire a Data Scientist to design, implement, and disseminate advanced financial and operational analytics and projects. This role will advise key stakeholders, provide data-driven insights, and support the development of advanced statistical and mathematical methods, including machine learning, to solve complex problems and implement scalable analytics solutions across the enterprise.
Requirements
- Experience with Tableau and SQL Required
- Experience with relational databases. Preferred
- Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables. Required
Responsibilities
- Designs, implements and disseminates advanced financial and operational analytics and projects.
- Supports the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities.
- Design and build reports, including data visualizations, using complex logic and multiple data sources.
- Integrate visual analytics into reporting to enhance customer ease of use and understanding of the data.
- Interpret customer business needs and translate them into application and operational requirements.
- Thoroughly test reports and obtain user validation.
- Maintain data sources and visualizations.
Other
- Works with and advises key stakeholders to provide analysis and insights to enable data-driven decision-making.
- Works in partnership with team members to solve complex problems, ensure robust, scalable analytics solutions and implement them efficiently and effectively across the enterprise.
- Work with Senior Leadership, Department Chairs, the Director’s Office, and front-line managers to determine and interpret needs for new ongoing reports, ad hoc reports, and report enhancements.
- Work in collaboration with individual customers to teach them: how to use the reporting platform, interpret and use the data in the report, and make customizations to the report based on individual reporting requirements.
- Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish customer requests from the underlying true needs.
- Bachelors in Data Science, Math, Information Science or related field Required
- Masters Preferred
- 2 years of relevant experience required.
- or equivalent combination of education and experience Required
- Strong attention to detail, ability to develop creative solutions to complex problems, and strong critical thinking skills. Required
- Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences. Required
