Analytics Engineer – Finance & BI
Creative Financial Staffing
| Company | Creative Financial Staffing |
| Category | Engineering |
| Location | Maitland |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | — |
| Last verified | 3 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Analytics Engineer – Finance & BI
Salary: Up to $120,000
Location: Orlando, FL (Hybrid)
Why This Opportunity Stands Out:
• Join a growing Business Intelligence team with high visibility across the organization
• Build predictive analytics and financial models that directly influence business strategy
• Work with modern technologies including AWS Redshift, Power BI, Microsoft Fabric, and Python
• Partner with executive leadership and key stakeholders across Finance and IT
• High level of ownership, autonomy, and impact
• Hybrid work environment with strong work-life balance
• Competitive compensation and excellent benefits package
• Opportunity to help shape and grow the company’s analytics function
Key Responsibilities for the Analytics Engineer – Finance & BI:
• Develop predictive models supporting forecasting, planning, and performance analysis
• Build financial models, analytical datasets, and reporting solutions
• Analyze complex data using SQL and cloud-based data platforms
• Design and enhance dashboards, KPIs, and executive reporting
• Support ETL processes, automation, and data pipeline improvements
• Partner with business leaders to deliver scalable analytics solutions
• Present actionable financial and operational insights to stakeholders
Qualifications for the Analytics Engineer – Finance & BI:
• Bachelor’s degree in Finance, Analytics, Computer Science, Statistics, or related field
• 3+ years of experience in Financial Analytics, Business Intelligence, Analytics Engineering, FP&A Analytics, or Data Engineering
• Strong SQL experience and data analysis skills
• Experience with AWS Redshift or similar cloud data platforms
• Experience with predictive analytics, forecasting, and financial modeling
• Python, R, or similar programming experience preferred
• Power BI, DAX, Microsoft Fabric, APIs, or Salesforce experience is a plus
• Must be authorized to work in the U.S. without sponsorship
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