• Responsible for management and leadership of systems programming and data related efforts and activities for the Cancer Center, including supervising the senior data analyst.
• Lead cross-functional projects using advanced data modeling and analysis techniques to optimize data reporting and analysis.
• Develop automated/scheduled processes to utilize the University’s central information warehouse and business intelligence using SQL and other methods. Improve reporting and processes over time.
• Defines, designs and builds dimensional database schemas.
• Reviews object and data models and the metadata repository to structure the data for better management and quicker access.
• Define and capture metadata and rules associated with ETL processes.
• Adapt ETL processes to accommodate changes in source systems and new business user requirements.
• Collect, analyze, manipulate data to discover meaning and insight.
• Performs analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, etc. to identify patterns in data.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address issues.
• Oversee the design and delivery of reports and insights that analyze key operations and metrics. Reports should be clear, convincing, informative, engaging, and tailored to the audience.
• Develops reports to recommend strategies and plans.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Conducts data sheering to rid the system of old, unused or duplicate data.
• Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
• Examine, interpret and report results of analytical initiatives to leadership.
• Makes critical observations and provides data interpretation.
• Oversee the data/report requests process: tracking requests submitted, prioritization, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Anticipate future reports related to ongoing projects.
• Communicate and present results of reports to stakeholders.
• Other duties as assigned.

Knowledge, Skills, and Abilities:

• Ability to create, troubleshoot, and enhance the Cancer Center’s data loadings.
• Knowledge of key IT business systems, reporting and analytics, general ledger management, and data warehousing.
• Strong working knowledge of reporting tools such as Oracle Business Intelligence, Tableau, or similar tools.
• Effective written and verbal communication skills.
• Skilled in research and data analysis, drawing actionable insights from raw data and information.
• Skilled in statistical and econometric modeling, performing quantitative analysis, and technological data mining and analysis techniques.
• Attention to detail.
• Ability to handle multiple tasks and meet tight deadlines.
• Creative and innovative problem-solving skills.
• Self-motivated and proactive.