Business Intelligence Analyst with strong SQL/Tableau/Google/SaS/R

• Experience with 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 lifecycle 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.
• 
  

• 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.

Flexible work from home options available.