Finance Data Analyst

Lattice Semiconductor•Hillsboro, OR

About The Position

The Finance Data Analyst supports Finance through data analytics, AI and automation, forecasting and planning, consolidation, and financial analysis and reporting. The role works with large financial and operational datasets to identify trends, improve visibility into business performance, and develop dashboards, analytical tools, and reporting solutions. It also explores practical uses of AI and automation to accelerate analysis, streamline repetitive processes, and improve forecasting and reporting. The position coordinates and consolidates forecasts, annual operating plans, and long-range financial plans across the organization. It manages forecast submissions, analyzes changes and actual performance, maintains models and tools, and validates and reconciles data. The analyst also provides ad hoc analysis to senior management and financial partners, examines key financial metrics, supports recurring management reporting, and identifies improvements to Finance processes and decision support. Lattice describes itself as an international developer of programmable design solutions with a global workforce of approximately 1,000. Applicants must complete background and reference checks and provide satisfactory proof of the right to work in the United States. The role may be eligible for variable or incentive compensation and/or equity, as well as a comprehensive benefits package that may include healthcare, retirement plans, and paid time off.

Requirements

  • 0–3 years of relevant experience in financial analysis, FP&A, business analytics, data analytics, or a related field; exceptional recent graduates with strong internship, academic, or project experience are encouraged to apply.
  • Bachelor’s degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Science, Engineering, or another analytically rigorous field.
  • Strong analytical and quantitative skills, including the ability to work through complex or ambiguous problems.
  • Strong Microsoft Excel skills and an interest in developing advanced analytical and financial modeling capabilities.
  • Demonstrated interest in data analytics, automation, and applied AI.
  • Strong attention to detail and commitment to accuracy.
  • Strong written and verbal communication skills, including the ability to communicate analytical findings clearly and concisely.
  • Ability to learn new technologies, systems, and business concepts quickly.
  • Ability to work independently and collaborate effectively across functions and geographies.

Nice To Haves

  • Experience or exposure to SQL, Python, Power BI, Tableau, Microsoft Copilot, ChatGPT, or similar technologies; preferred but not required.
  • Experience with financial planning systems such as Workday Adaptive Planning and ERP systems such as Oracle.
  • Strong internship, academic, or project experience for exceptional recent graduates.

Responsibilities

  • 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 to make financial and operational data easier to understand and act upon.
  • Explore and implement practical applications of AI and automation in Finance to accelerate analysis, automate repetitive processes, and improve forecasting and reporting.
  • Use 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 efficient, scalable, automated solutions.
  • Coordinate and consolidate forecasts, annual operating plans, and long-range financial plans across the organization.
  • Manage forecast submissions and consolidate inputs into a consistent company-wide financial view.
  • Analyze forecast changes and actual performance to identify trends, variances, risks, and opportunities.
  • Develop and maintain models and tools to improve forecast accuracy, efficiency, and visibility.
  • Validate and reconcile data to ensure consolidated forecasts are complete and accurate.
  • 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 and improve the quality, clarity, and usefulness of financial information.
  • Identify opportunities to improve Finance processes, analysis, and decision support.

Benefits

  • The role may be eligible for variable/incentive compensation and/or equity.
  • Comprehensive, competitive benefits package that may include healthcare and retirement plans, paid time off, and more.
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