岗位职责： 财务分析与报告： 协助编制月度、季度、年度财务分析报告，深入剖析收入、成本、费用、利润等关键财务指标变动原因，提供有价值的商业洞察。 预算管理与预测： 参与年度预算编制、滚动预测及执行跟踪，协助监控预算偏差，分析差异原因并提出改进建议。 业务伙伴支持： 作为财务代表，深入对接销售、运营等业务部门，理解业务模式与需求，提供财务角度的决策支持，评估项目可行性及投入产出。 资金管理协助： 协助进行日常资金流动性管理，包括现金流预测与监控、银行账户维护、收付款计划编排、融资资料准备及贷后管理等，确保资金安全与高效运转。 - Financial Analysis & Reporting: Assist in preparing monthly, quarterly, and annual financial analysis reports, conducting in-depth reviews of key financial metrics including revenue, costs, expenses, and profits to identify underlying drivers and provide actionable business insights. - Budgeting & Forecasting: Participate in annual budget preparation, rolling forecasts, and performance tracking; assist in monitoring budget variances, analyzing root causes of discrepancies, and recommending improvement measures. - Business Partner Support: Serve as a finance representative, actively engaging with business units such as Sales and Operations to understand business models and needs; provide financial decision support, including project feasibility assessments and ROI evaluations. - Treasury Management Support: Assist in daily liquidity management, including cash flow forecasting and monitoring, bank account maintenance, payment scheduling, financing documentation preparation, and post-loan management, ensuring capital safety and operational efficiency. 岗位要求： 教育背景： 2027届硕士及以上学历应届毕业生，数学、统计学、金融学、经济学、会计学、财务管理等相关专业。本科为理工科背景者加分。 专业技能： 财务基础知识扎实，对三大报表有深刻理解。具备较强的财务建模与数据分析能力，熟练使用Excel（函数、透视表、VBA等）。熟悉Python、SQL或Power BI等数据分析工具者优先。 核心素质： 具备卓越的逻辑思维能力与业务洞察力，善于从数据中发现问题和机会。对数字高度敏感，严谨细致，有强烈的求知欲和快速学习能力。 职业素养： 具有良好的沟通表达能力、跨部门协作能力及高度的职业道德与保密意识。有志于成为兼具财务深度与业务广度的复合型人才。 - Educational Background: 2027 Master's degree or above graduates in Mathematics, Statistics, Finance, Economics, Accounting, Financial Management, or related fields. A bachelor's degree in a STEM discipline is a plus. - Technical Skills: Solid foundation in financial accounting with deep understanding of the three core financial statements. Strong financial modeling and data analysis capabilities. Advanced proficiency in Excel (functions, pivot tables, VBA, etc.). Familiarity with data analysis tools such as Python, SQL, or Power BI is preferred. - Core Competencies: Exceptional logical thinking and business acumen, with the ability to identify issues and opportunities through data. Highly detail-oriented with strong numerical sensitivity, coupled with intellectual curiosity and rapid learning capabilities. - Professional Attributes: Strong communication and cross-functional collaboration skills, high professional ethics, and a strong sense of confidentiality. Aspires to become a well-rounded finance professional with both deep financial expertise and broad business understanding.