Finance Data Analyst
Lattice Semiconductor
Hillsboro, OR0–3 yrs7h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 3 years · Bachelor's degree
- Must know
- Data analysisData visualizationBudgetingAccountingFinancial analysisBusiness analysis
- Nice to have
- PythonSQLPower BITableau
- Work
- On-site in Hillsboro
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis87%Data visualization73%Accounting10%Budgeting8%of 71 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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Key Responsibilities
Data Analytics, AI & Automation (45%)
- Work with large financial and operational datasets to identify trends, develop insights, and improve visibility into business performance
- Develop dashboards, analytical tools, and reporting solutions
- Explore and implement practical applications of AI and automation within Finance
- Use modern analytical tools to extract, organize, integrate, analyze, and visualize data from multiple sources
- Improve data quality, consistency, and accessibility across Finance reporting and planning processes
- Identify opportunities to replace manual processes with more efficient, scalable, and automated solutions
Forecasting, Planning & Consolidation (35%)
- Coordinate and consolidate forecasts, annual operating plans, and long-range financial plans
- Manage forecast submissions and consolidate inputs into a consistent company-wide financial view
- Analyze forecast changes and actual performance to identify key trends, variances, risks, and opportunities
- Develop and maintain models and tools that improve forecast accuracy, efficiency, and visibility
- Perform data validation and reconciliation
Financial Analysis & Reporting (20%)
- Provide ad hoc financial and business analysis to senior management and financial partners
- Analyze revenue, margin, operating expenses, and other key financial metrics
- Support recurring management reporting
- Proactively identify opportunities to improve Finance processes, analysis, and decision support
Qualifications, Education, & Experience
- Bachelor’s degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Science, Engineering, or another analytically rigorous field
- Strong analytical and quantitative skills
- Strong Microsoft Excel skills
- Demonstrated interest in data analytics, automation, and applied AI
- Experience or exposure to tools such as SQL, Python, Power BI, Tableau, Microsoft Copilot, ChatGPT, or similar technologies is preferred but not required
- Experience with financial planning systems such as Workday Adaptive Planning and ERP systems such as Oracle is a plus
- Ability to learn new technologies, systems, and business concepts quickly
Skills & Behaviors
- Intellectually curious
- Exceptional analytical and problem-solving skills
- Comfortable working with large amounts of data
- Quick learner
- Naturally curious about how AI, automation, and technology can improve Finance
- Strong attention to detail and commitment to accuracy
- Strong written and verbal communication skills
- Self-starter
- Constructively challenges existing processes
- Able to work independently while collaborating effectively
- Adaptable to changing business needs
- Open, honest, trustworthy, and results oriented