AI-Driven Finance Analyst — Forecasting & Insights

WYLD; Oregon (WI); On-site; USD 75,000 - 115,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401K

Paid time off

Paid holidays

Job summary

WYLD in Clackamas, Oregon is seeking a Financial Analyst who thrives on turning messy data into decision-ready insights for the FP&A team and leadership. You will forecast, model, and report across multiple systems, leveraging AI and automation to streamline processes and deliver clear recommendations.

The role requires a strong finance background, experience with Excel, Power BI, SQL or Python, and the ability to communicate complex results to non-technical stakeholders.

Qualifications

• Bachelor's degree in accounting, finance, business, or related field

Responsibilities

• Perform financial forecasting, reporting, and operational metrics tracking
• Compile financial data from multiple systems and create financial models for decision support
• Conduct Budget vs Actual analysis on all departments in the business
• Evaluate new project proposals, including financial modeling of resources, costs, revenue, and ROI
• Track financial KPIs to monitor company performance against expectations and against the industry as a whole
• Monitor and report on cash flow and identify fluctuations in forecasts; recommend adjustments to refine models
• Identify trends and patterns in large datasets to generate insights
• Develop ad-hoc analytical models to support forecasting, budgeting, and other financial data
• Extras: AI/automation opportunities to streamline reporting

Skills

Financial modeling

Forecasting

Excel

Power BI

SQL

Python

Data analysis

Communication

Education

Bachelor's degree in accounting/finance

Tools

SQL

Python

Power BI

Job description

WYLD in Clackamas, Oregon is seeking a Financial Analyst who thrives on turning messy data into decision-ready insights for the FP&A team and leadership. You will forecast, model, and report across multiple systems, leveraging AI and automation to streamline processes and deliver clear recommendations.

The role requires a strong finance background, experience with Excel, Power BI, SQL or Python, and the ability to communicate complex results to non-technical stakeholders.