Business Intelligence Analyst

Position is hybrid with some time spent in office for meetings.

Knowledge in:
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 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 In:
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.


Ability to:
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.