Business Intelligence Analyst

$58,000 - $65,000/Yr

University of Florida - Gainesville, FL

Full-time - Mid Level

Gainesville, FL

Educational Services

About the position

The Business Intelligence Analyst at the University of Florida plays a crucial role in supporting data-driven decision-making across various departments. This position involves fielding, triaging, and fulfilling requests for data, reporting, and tooling, ensuring that stakeholders have access to the necessary information to drive operational success. The analyst will interface with multiple software systems utilized departmentally, collecting, summarizing, and analyzing data related to operational metrics and outcomes. This role requires proficiency in various software packages to extract, transform, analyze, and load operational data, making informed suggestions based on the findings from these analyses. In addition to data analysis, the Business Intelligence Analyst will prototype and troubleshoot internal tooling and data pipelines, contributing to the development of value-added tools that provide operational data and insights to departmental stakeholders. Identifying potential faults in systems with real-time data collection and proposing solutions is a key responsibility. The analyst will assist subject matter experts in utilizing departmental information systems and workflows, following established best practices while also suggesting improvements to enhance efficiency. The role also involves contributing to the automation of workflows by analyzing processes, data, and system interface options. The analyst will assist end users with best practices for data collection and entry, ensuring data integrity and effective manipulation. Monitoring the success of system implementations and contributing to the administration and upkeep of departmentally supported systems are also part of the job. Collaboration with Business Affairs Technical Services (BATS) and UF IT is essential for requesting support related to Business Affairs or UF systems. Participation in operational meetings, presenting findings, and documenting processes and procedures related to data management and analysis are critical components of this position.

Responsibilities

• Field, triage, and fulfill requests for data, reporting, and tooling.
• Interface with multiple departmentally utilized software systems.
• Collect, summarize, and analyze data related to operational metrics and outcomes.
• Utilize various software packages to extract, transform, analyze, and load operational data.
• Make suggestions based on findings from data analysis.
• Prototype and troubleshoot internal tooling and data pipelines.
• Help build value-added tooling to provide operational data and information to departmental stakeholders.
• Identify potential faults in systems with real-time data collection and suggest solutions.
• Assist subject matter experts on departmental information system usage and workflows.
• Follow established best practices and suggest improved workflows.
• Contribute to automation of workflows involving software systems by analyzing processes, data, and system interface options.
• Assist end users with best practices for data collection and entry.
• Assist in implementation and assessment of system implementation success monitoring.
• Contribute to administration and upkeep of departmentally supported system.
• Collaborate with Business Affairs Technical Services (BATS) and UF IT for support.
• Participate in operational meetings and discussions.
• Present findings from analyses and make recommendations based on those findings.
• Field and answer questions related to interpretation of results of analyses.
• Support the documentation of processes and procedures related to data collection, management, integrity, and analysis.
• Document recommended best practices for system usage within Facilities Services.

Requirements

• Bachelor's degree in an appropriate area (Computer Science, Computer Engineering, Data Science, or related discipline) and three years of relevant experience; or an equivalent combination of education and experience.
• Experience with structured query language (SQL).
• Experience using various modern software systems.
• Experience analyzing large data sets.
• Experience utilizing REST APIs.
• Experience in data analysis of tabular data.
• Experience with basic electronic hardware troubleshooting.
• Experience implementing new software-based products or processes.
• Strong written and verbal communication skills.

Nice-to-haves

• Knowledge of construction industry terminology.
• Basic understanding of statistical concepts.