Senior Analyst, Predictive Analytics

Role Overview

• Develop, implement and support various revenue management systems, Business Intelligence reporting and user tools
• Able to suggest efficiency improvements and technical improvements to our PL/SQL jobs and systems
• Successfully apply quantitative methods and techniques, including forecasting, linear regressions, mixed integer programming, optimization, and statistical analyses
• Determine user requirements and business needs to develop new reporting, while incorporating understanding of the business and our current systems
• Think creatively and holistically to not only meet business objectives, but also to gain additional benefits in job and system enhancements
• Work closely with the Revenue Management, Finance and Rev Planning teams to understand their business challenges and objectives and identify opportunities to develop potential business improvements, revenue opportunity and efficiency gains
• Initiate projects to leverage these opportunities, overseeing the development, implementation, and support of such projects, from requirements gathering, to development strategy, testing and implementation
• Respond to ad-hoc data and analysis needs while supporting various projects
• Conduct analyses of business data, evaluate trends and pattern changes, and learn to disperse results in a format appropriate for the audience
• Create new queries or code to develop the data or report and work with teams to make sure the report provides relevant, actionable Revenue Management-related information in the most effective format and medium
• Continuously search for potential business improvements, revenue opportunity and efficiency gains
• Own production tools or processes and serve as department and company Subject Matter Expert for those tools
• Serve as IT liaison, working with Oracle and DB2 administrators to provide support for our jobs, IT projects and continuing business objectives.

Requirements

• Master’s degree in Operations Research, Industrial Engineering, or Statistics preferred
• Bachelor’s degree from four-year college or university required (in Operations Research, Industrial Engineering, Statistics, or related field)
• 3+ years of work experience in related field preferred
• Strong quantitative, analytical skills and knowledge of applied statistics
• Demonstrated ability to develop and implement applications using a programming language, especially PL/SQL, SAS, or Python
• Previous experience in successfully implementing system enhancements and decision-making tools preferred
• PL/SQL and Oracle database experience required
• Experience in SAS, .NET and UNIX desired
• Experience in supporting and interpreting reporting using Access or Business Intelligence tools (Hyperion experience a plus)
• Experience in forecasting, optimization, or data modeling
• Ability to handle dynamic workload, balancing short
• and long-term projects
• Ability to interpret analytical results into meaningful business terms and translate business needs to programming and data modeling
• Ability to communicate clearly and effectively to business and technical audiences in both spoken and written formats
• Must possess strong reality check reflex and problem-solving skills.

Tech Stack

• Oracle
• Python
• SQL
• Unix
• .NET

Benefits

• competitive compensation and benefits package
• career development opportunities