Bachelor’s 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 Master’s 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 knowledge and 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.