Strategic Finance & Analytics Lead

Coastal Waste and Recycling; Boca Raton (FL); On-site; USD 110,000 - 140,000; Full time

Job summary

Coastal Waste & Recycling is seeking a Senior Analyst, Strategic Finance & Analytics to join the FP&A team. You will transform complex data into insights, build predictive financial models, and provide decision-support across Finance, Operations, Sales, and leadership.

The role emphasizes advanced analytics, cross-functional collaboration, and continuous improvement, using SQL, Python, Power BI, and Excel to automate reporting and drive performance.

Qualifications

• Bachelor’s degree or higher in a quantitative field.
• 3–5 years in FP&A, strategic finance, analytics, BI, or data science.
• Advanced Excel with driver-based forecasting and large datasets.
• Experience with SQL and Power BI for data analysis, reporting, and visualization.
• Python or R for data analysis, modeling, or automation.

Responsibilities

• Drive business insights by analyzing financial and operational performance to identify trends, risks, opportunities, and key drivers.
• Translate complex datasets into actionable recommendations for Finance, Operations, Sales, and leadership.
• Build advanced financial models, forecasts, and scenario analyses to support planning and decisions.
• Monitor KPIs such as pricing, volume, revenue, cash flow, and efficiency drivers to spot trends.
• Collaborate with cross-functional teams to connect operating metrics to financial results.
• Support budgeting, forecasting, acquisitions, and capital allocation initiatives.

Skills

SQL

Power BI

Python

Excel

Education

Bachelor's degree in Finance, Economics, Statistics, Mathematics, Data Science, Business Analytics, Engineering

Tools

Workday

Job description

Coastal Waste & Recycling is seeking a Senior Analyst, Strategic Finance & Analytics to join the FP&A team. You will transform complex data into insights, build predictive financial models, and provide decision-support across Finance, Operations, Sales, and leadership.

The role emphasizes advanced analytics, cross-functional collaboration, and continuous improvement, using SQL, Python, Power BI, and Excel to automate reporting and drive performance.