Business Intelligence & Data Analyst

Finley Road Partners provides specialized administrative, human resources, staffing, and related employer services for a variety of clients. The Company specializes in event labor management. With local expertise and national reach, we have the industry's most comprehensive database of technicians, and the country's best crewing managers located on the ground in local markets throughout North America. We're the Employer-of-Choice for field technicians around the U.S. and Canada., Job Summary: The Business Intelligence & Data Analyst will use labor and payroll data to identify inefficiencies, calculate the fiscal impact of technical solutions, and build executive dashboards that help the Product Ops Team prioritize key developments. This is a fully remote position., * Quantify the exact scale of operational bottlenecks (e.g., tracking total manual hours lost to redundant data reentry or evaluating regional operational performance).

• Partner with business architects and system analysts to build predictive ROI and cost-savings models.
• Develop and manage automated dashboards (Tableau, Power BI, or Salesforce) to monitor corporate KPIs, daily operations, and feature adoption.
• Analyze labor, crewing, and client data to identify opportunities to improve operations, cut unnecessary costs, and more efficient utilization of resources.
• Collaborate with the Product Ops Team to ensure data pipelines are properly maintained, definitions are consistent, and system data accurately represents business activities.
• Perform other duties as assigned.

Do you have experience in SQL?, Do you have a Bachelor's degree?, * 3 - 5+ years of experience as a Business Intelligence Analyst, Data Analyst, or Operations Analyst in a highly quantitative corporate environment.

• Advanced proficiency in writing clean, optimized SQL queries to extract data from complex relational databases.
• Mastery of data visualization platforms (e.g., Power BI, Tableau, or Sigma) and strong Excel modeling skills are required.
• Demonstrated ability to connect abstract business concepts (like scheduling delays or manual processing friction) to tangible data points and financial impacts.
• Prior experience analyzing datasets tied to workforce management, workforce scheduling (e.g., ProCrewz), high-volume staffing, multi-state payroll, or live events labor tracking is highly desirable.
• The ability to translate complex data schemas into clear insights for non-technical business leaders.
• Bachelor's degree in Data Analytics, Statistics, Finance, Management Information Systems (MIS), Economics, or a related quantitative field.

4.34.3 out of 5 stars Scottsdale, AZ Remote $85,000 - $115,000 a year - Full-time, Pulled from the full job description

• Financial planning services
• AD&D insurance
• Health insurance
• Paid time off
• Vision insurance
• Health savings account
• Dental insurance, We believe in supporting our team members with a comprehensive benefits package designed to enhance their well-being and provide financial security. Here's what you can expect as part of our team:

Health and Wellness

• Medical, dental, and vision insurance plans
• Employer contributions to Health Savings Accounts (HSAs)
• Employer paid Short-term & Long-term Disability, Basic Term Life and AD+D
• Employee funded Flexible Spending Accounts (FSAs), Voluntary Term Life
• Wellness programs, including gym membership discounts and mental health resources

Financial Benefits

• Competitive salary
• 401(k) retirement plan
• Employee assistance programs for financial planning and counseling

Work-Life Balance

• Discretionary paid time off (PTO) policy
• 8 company paid holidays + 1 personal floating holiday
• Flexible work arrangements (remote/hybrid opportunities, if applicable, with home internet and cell phone stipend)
• Paid bonding leave

The US base salary range for this full-time position is $85,000-$115,000, plus benefits as applicable. This position is not eligible for stocks and/or stock options. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.