Sr Data Analyst

Responsibilities:

• Conducts analyses and prepares high level reports that include recommendations and requirements for proposed new system implementations, formulates problem statements, and develops solutions.
• Designs, modifies, and implements new or revised systems by evaluating and developing alternative workflow solutions.
• Analyzes data contained in moderately complex to complex corporate databases, identifies data integrity issues with existing and proposed new systems, and implements solutions. Utilizes data analysis software and/or appropriate Structured Query Language to perform the analysis.
• Uses reporting tools to develop moderately complex to complex reports which are needed for business processes and statistical reports to evaluate productivity and workload.
• May monitor the interface of systems, subsystems, and software applications, and provide system administration for live and test environments. May evaluate and recommend action for upgrading software and hardware for application environments.
• Performs or may oversee application installation and testing and develops test plans.
• Assists in providing application support and troubleshooting moderately complex to complex software application issues.
• Manages an outsource relationship for third party application development and programming consultants. Assists with programming for in-house IT projects.
• Develops system design and functional specifications for all new development projects and coordinates production with programmers.
• Analyzes and tests new or existing procedures, information systems, or programs for efficiency and effectiveness. Defines application problems by conferring with clients and evaluating procedures and processes.
• Participates in or may lead cross-functional project teams involving various levels of internal and external participants. Functions as a facilitator between all business units in addressing and resolving IT software issues.
• May lead or supervise work of lower-level Information Technology staff.
• Writes technical procedures and documentation for applications including operations and users guide.

Key Skills:

• Structured Query Language.
• Microsoft Excel.
• Critical thinking.
• R or Python statistical programming.
• Data visualization.
• Presentation skills.
• Machine learning.