Decision Support Specialist

Description Provide coordination and development of financial analysis, short and long-term planning, and project and cost analysis for the UCLA Faculty Practice Group. Analyze financial and operational data to provide insights to support decision-making. Work with various university partners to analyze business to identify and recommend actions which support company objectives and drive financial results. Develop tools for ad hoc reporting, financial models and analysis and dashboards; design and administer key performance metrics; run modeling for financial forecasting. Prepare base period data for use in analytics and projects. Support ad-hoc analytics such as provider contracting, claims analysis and other customized projects.
Salary Range: $111,966 - 184,800/annually The employer offers hybrid benefit for this position. Qualifications

Bachelors degree in data engineering, management and systems or a related field plus five years of experience in job offered, or as a business intelligence analyst, data analyst, data scientist or a related occupational title. Alternatively, the employer will accept a Masters degree plus two years of experience. Demonstrated experience performing job costing or activity-based costing environment analyses and delivering effective solutions that provide tangible benefits. Demonstrated knowledgeand understanding of Generally Accepted Accounting Principals (GAAP).Experience working in an environment that is rapidly changing, where processes and procedures are in development. Experience resolving complex financial problems utilizing statistical tools or data modeling to support decisions. Experience improving processes and systems. Experience working effectively in a team environment on collaborative projects or cross-functional teams. Demonstrated experience communicating effectively in written and oral communications. Experience working on multiple projects simultaneously with shifting priorities demonstrating effective time management and organizational skills. Demonstrated expertise in Microsoft Excel including pivot tables, complex formulas, data validation, macros, automation, effectively visualizing data through charts and graphs. Demonstrated experience scripting or programming languages to support data analysis and automation. Proficiency in SQL for querying and managing datasets with hundreds of millions of records. Experience creating actionable data visualization dashboards and charts utilizing business intelligence (BI) and data visualization applications such as Tableau or similar platforms. Demonstrated experience meeting project and reporting deadlines.