Business Intelligence Analyst

$116,460 - $136,544/Yr

South Metro Fire Rescue - Centennial, CO

Full-time - Mid Level

Hybrid - Centennial, CO

About the position

The Business Intelligence Analyst at South Metro Fire Rescue is responsible for leveraging data analytics to uncover insights and drive strategic solutions to complex business challenges. This role involves analyzing, designing, developing, and testing reports for business operations, as well as application development, to support the organization's strategic objectives. The analyst will utilize tools such as Snowflake and Power BI to optimize resources and inform business strategies, while collaborating with various stakeholders throughout the organization.

Responsibilities

• Utilizes predictive modeling to drive corporate decisions in all divisions and bureaus.
• Collaborates with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Mines and analyzes data from company databases to optimize product development.
• Develops custom data models and algorithms; cleans and organizes data to uphold data standards.
• Assists with the design, implementation, and maintenance of complex SQL database systems.
• Utilizes SSRS to create and maintain automated reporting functionality.
• Collaborates with functional teams to implement models and monitor outcomes using Power BI.
• Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
• Creates and maintains standards for new and existing software solutions.
• Develops processes and tools to monitor and analyze model performance and data accuracy.
• Trains employees on project-related data procedures and guidelines.
• Participates in on-call rotation providing after-hours support.

Requirements

• Bachelor's degree in statistics, mathematics, computer science or a related field.
• Five years of experience manipulating data sets and building statistical models.
• Proficiency in MS Office: Access, Excel, Word, Outlook, PowerPoint.
• Experience using statistical computer languages (R, Python, SQL) to manipulate data.
• Knowledge of advanced statistical techniques and concepts (regression, statistical tests).
• Experience with cloud-based data science services.
• Strong working knowledge of SQL Server add-on services (SSIS, SSMS, SSRS, SSAS).
• Ability to manage projects amongst diverse stakeholders.

Nice-to-haves

• Public safety or local government (fire or crime data analysis) experience preferred.
• Basic knowledge of machine learning techniques.
• Experience working with and creating data architectures.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Life insurance
• Employer-paid premiums for medical, dental, vision, and life insurance
• Retiree Health Savings
• Death & Disability benefits
• Employer-paid pension contributions
• Fitness, Wellness and Rehabilitation Program
• Educational opportunities and support