- Salary
- $75k – $115k/yr
- Location
- Clackamas - Oregon (Corporate)
- Type
- Full-time
- Department
- Finance
- Education
- Bachelor
- Source
- Pinpoint
Description
Financial Analyst
Department: Finance
Employment Type: Full Time
Location: Clackamas - Oregon (Corporate)
Reporting To: Director of FP&A
Compensation: $75,000 - $115,000 / year
Description
Key Responsibilities
- Perform financial forecasting, reporting, and operational metrics tracking
- Compile financial data from multiple systems and sources 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 further refine models
- Independently investigate incomplete, messy, or conflicting datasets, using judgment and initiative to resolve gaps and reconcile discrepancies
- Distill complex analysis into clear, concise summaries and recommendations for non- technical stakeholders
- Proactively identify opportunities to use AI, automation, and other modern tools to streamline reporting and analysis
- Creates new statistical and visualization methods for highlighting critical variables
- Develop ad-hoc analytical models to support forecasting, budgeting, and other financial and non-financial data when necessary
- Identifies trends and patterns in large, unstructured datasets to generate insights
- Performs ad hoc analysis as required by the VP of Business Analysis
- Additional duties and responsibilities may be assigned based on business needs
Qualifications
- Bachelor's degree from a four-year college or university in accounting, finance, business, or related field
- At least 2-4 years of related experience/training within finance or accounting with a focus on financial analysis
- Demonstrated self-starter who takes initiative, seeks out answers independently, and is
- eager to acquire new knowledge without being asked
- Must have a proven track record in their ability to handle and prioritize multiple task
- and meet all deadlines
- Deep understanding of statistical and financial modeling
- Understands relationships between variables even when the application is no
- immediately apparent
- Must have strong finance background, mathematical, analytical, communication skill
- and the ability to multitask Ability & Technical Skills
- Genuine enthusiasm for technology and AI tools, with a track record of using them to work more efficiently and creatively
- Thrives when working with large, messy, or incomplete datasets, and enjoys the process of untangling and structuring them
- Strong ability to synthesize complex analysis into a complete, well-organized summary of findings for leadership
- Ability to read, write, and communicate effectively in English.
- Basic math skills, including addition, subtraction, multiplication, and division.
- Ability to handle confidential and sensitive information with professionalism and discretion.
- Familiarity with basic computer applications, including Microsoft Office, Google Workspace, and work management systems such as Slack, Jira, or similar platforms.
- Ability to travel occasionally between Company buildings or work sites, as needed.
- Strong quantitative and organizational skills are required
- Must possess the ability to interact effectively with managers, peers, other departments, and all levels of management
- Strong attention to detail is critical, as well as the ability to maintain high standards of accuracy and compliance assurance
- Ability to translate data into words and give recommendations to management in order to accomplish the goals of the organization
- Strong Excel, Microsoft Office, and PowerBI skills
- Familiarity with AI-assisted tools (e.g., Copilot, ChatGPT, Claude) for analysis, automation, or reporting strongly preferred
- Experience with SQL, Python, or similar tools for handling large or messy datasets is a plus