Phoenix, AZ - IT - AZDES - DDD - Analyst - Business Intelligence Analyst

Knowledge & Experience

• SQL, Tableau, Google, Focus, Excel, Visio, OnBase and other data management programs
• Data systems creation methods, software applications used to monitor and review data
• Statistical and business analysis
• Division's current data systems, including FOCUS, OnBase, as well as knowledge and experience using databases, including creating simple databases and queries
• Strategies for achieving effective data acquisition. Management, quality, use and application
• Applicable laws, rules, policies regarding security, privacy, and management of confidential data
• IT life-cycle and preventative disease and vaccination surveillance system design, operation and maintenance
• Qualitative and quantitative techniques for analyzing and measuring program/project efficacy; project management disciplines and techniques

Skills

• Excellent organizational skills
• Effective oral and written communication skills
• Computational evaluations, such as summations, means, proportions, rates, and other statistical methods used to evaluate the internal and external consistency of aggregated statistical tabulations
• Analytical software (SAS (Statistical Analysis System) & R)
• Advanced computer skills (e.g., SAS & R, Tableau and SQL)
• Establishing and maintaining interpersonal relationships with internal and external stakeholders
• Providing technical assistance to business partners
• Performing analytic functions, including workflow and statistical analysis
• Effectively utilizing data collection, research, and analysis methodologies
• Capacity to work with various data and to identify possible problems, efficiency issues and recommend conclusions from that data
• Interpret and write statistical report narratives
• Develop and apply consistent standards that detect problems with internal or external consistency and completeness of data presentations and create graphs and longitudinal flowcharts using available data
• Gather, read, interpret, and maintain data for analytical purposes, policy decisions and business operations
• Communicate complex information to nontechnical audiences
• Develop functional and technical specifications for data analysis through interfacing with staff
• Analyze large complex data sets and identify trends in relation to data queries
• Write clear, concise, and accurate reports
• Provide and maintain technical support to end users of the database