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Текст:
Hirify AI/Оригинал
TL;DR
Finance Data Analyst (AI & Automation) (Finance/Data Analytics): Building dashboards, forecasting models, and reporting solutions from large financial and operational datasets with an accent on AI, automation, financial planning, and data quality. Focus on consolidating forecasts, analyzing variances and financial metrics, and designing scalable tools that improve Finance decision support.
Location: Hillsboro, OR, United States; onsite role. Proof of the right to work in the United States of America is required.
Company
hirify.global develops low-cost, low-power programmable logic and power management solutions, with a global workforce focused on R&D, product innovation, manufacturing operations, and customer success.
What you will do
Analyze large financial and operational datasets to identify trends, risks, opportunities, and business performance insights.
Develop dashboards, analytical tools, reporting solutions, and models that improve visibility, forecast accuracy, and decision support.
Explore and implement AI and automation in Finance to accelerate analysis and replace manual processes with scalable solutions.
Coordinate and consolidate forecasts, annual operating plans, and long-range financial plans across the organization.
Validate and reconcile forecast data, analyze revenue, margins, operating expenses, variances, and other financial metrics.
Provide ad hoc analysis and recurring management reporting while improving Finance processes and data quality.
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, quantitative, problem-solving, written, and verbal communication skills, including the ability to structure ambiguous problems and explain findings clearly.
Strong Microsoft Excel skills and interest in developing advanced analytical and financial modeling capabilities.
Demonstrated interest in data analytics, automation, and applied AI.
Ability to work with large amounts of data and detail, learn new technologies and business concepts quickly, work independently, and collaborate across functions and geographies.
Strong attention to detail, commitment to accuracy, adaptability, initiative, and a results-oriented approach.
Nice to have
Experience or exposure to SQL, Python, Power BI, Tableau, Microsoft Copilot, ChatGPT, or similar technologies.
Experience with Workday Adaptive Planning or ERP systems such as Oracle.
Culture & Benefits
Fast-paced, results-oriented, team-first environment with an emphasis on curiosity, trust, openness, and continuous improvement.
Comprehensive benefits package that may include healthcare, retirement plans, and paid time off.
Potential eligibility for variable or incentive compensation and/or equity in addition to base pay.
Employment is subject to successful background and reference checks and completion of Form I-9 and E-Verify requirements.
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