简历的基础认知
HR 平均花6-15 秒扫一份简历决定继续不继续。再加上 ATS(Applicant Tracking System,求职机器人)筛选,简历本质上是一份关键词密度极高、信息可量化、句式完全平行的极端文档。
这一章讲三件事:(1) 简历的英文写作惯例与结构,(2) STAR 法则与量化技巧,(3) Cover Letter 的三段式。
简历的英文格式惯例
1. 文件命名
命名格式:FirstName_LastName_Resume.pdf。永远存 PDF,不要存 Word。Resume_Final_v3.pdf 这种命名直接拉黑。
2. 长度
- 0-10 年经验:1 页,强制。
- 10 年以上:可以 2 页,但每一行都要有理由。
- 学术 CV(区别于 Resume):3-10 页都行,包括所有发表、会议、奖项。
3. 标准模块顺序
- 顶部:Contact Info(姓名、电话、邮箱、LinkedIn、GitHub/portfolio)
- (可选) Summary / Profile:3-4 行高度概括(仅有经验者用)
- Experience(最重要,倒序时间)
- Education(应届优先在 Experience 前)
- Skills(按类别列)
- (可选) Projects / Publications / Awards / Volunteer
4. 不要写的内容
- 照片(除非应聘地区文化要求,比如部分欧洲国家、日本)
- 年龄、生日、性别、婚姻状况(美国法律下,HR 看到反而尴尬)
- 身份证号、家庭地址(写所在城市即可)
- "Objective"(已被 Summary 替代)
- References available upon request(默认你愿意提供)
STAR 法则:每条经历的结构
STAR = Situation, Task, Action, Result。它最初是面试技巧,但写在简历每一条 bullet point 里同样有效。STAR 的简历版本通常压缩为 Action + Result,背景隐含。
| 字母 | 含义 | 简历里如何呈现 |
|---|---|---|
| S | Situation 背景 | 常被省略或合并到 Action 前缀 |
| T | Task 任务 | 合并到 Action |
| A | Action 行动 | 用 Action Verb 开头 |
| R | Result 结果 | 必须量化,用具体数字 |
对比:
失败 bullet(中式)
Responsible for the maintenance of company database and made many improvements.
成功 bullet(STAR + 量化)
Migrated 400GB customer database from MySQL to PostgreSQL with zero downtime, reducing query latency by 38% and saving $24K/year in licensing.
关键差异:失败版本用 Responsible for(弱),用 made improvements(虚),完全没量化。成功版本用 Migrated(强动词)开头,立刻给出三个量化结果(400GB / 38% / $24K)。
Action Verbs 强动词清单
简历里每一条 bullet 都必须以一个有力的过去式动词开头(现任职位用现在时也可以,但保持全文一致)。下面这份清单按职能分类,可以直接抄。
领导 / 管理
Led, Directed, Supervised, Managed, Spearheaded, Orchestrated, Oversaw, Coordinated, Mentored, Coached, Mobilized, Championed, Headed, Chaired
创建 / 启动
Built, Created, Designed, Developed, Established, Founded, Launched, Pioneered, Initiated, Conceived, Architected, Crafted, Engineered, Produced
提升 / 优化
Improved, Increased, Optimized, Streamlined, Accelerated, Enhanced, Boosted, Strengthened, Upgraded, Refined, Reinvigorated, Maximized
降低 / 节省
Reduced, Cut, Eliminated, Decreased, Saved, Lowered, Minimized, Trimmed, Curbed
分析 / 研究
Analyzed, Evaluated, Assessed, Investigated, Examined, Quantified, Diagnosed, Audited, Benchmarked, Modeled, Forecasted
沟通 / 影响
Presented, Persuaded, Negotiated, Advised, Advocated, Briefed, Counseled, Lobbied, Influenced, Pitched
执行 / 交付
Delivered, Executed, Implemented, Deployed, Rolled out, Shipped, Launched, Completed, Achieved, Attained
团队 / 协作
Partnered, Collaborated, Aligned, Liaised, Facilitated, Unified, Bridged, Consulted
避免这几个被滥用到失效的词:Responsible for、Worked on、Helped with、Participated in、Involved in、Assisted、Tasked with。它们让你听起来像是被动接受工作,而不是主动做事。无一例外用上面清单的强动词替代。
量化(Quantify)的艺术
量化是简历的灵魂。没有量化的成就在 HR 眼里几乎不存在。但中国学生常常说"我的工作没法量化"——这是因为还没学会找数字的角度。
量化的六个角度
| 角度 | 问自己 | 示例 |
|---|---|---|
| 规模 | 多大、多少人、多少钱 | Led a team of 12; Managed $2.3M budget |
| 速度 | 多快、多频繁 | Reduced deployment time from 4h to 12min |
| 百分比 | 提升 / 降低多少 | Increased conversion by 23% |
| 时间 | 多久内做完 | Delivered MVP in 6 weeks |
| 排名 | 第几、Top 多少 | Top 5% of analysts; #1 ranked region |
| 影响范围 | 多少用户 / 客户 | Reached 1.2M monthly users across 14 countries |
没有数字时的策略
如果你做的是后台 / 流程工作,确实没有现成数字,可以用以下方式"半量化":
- 对比"之前"和"之后":From manual Excel reporting to automated dashboards refreshed hourly.
- 给一个范围:Coordinated cross-functional reviews involving 8+ stakeholders.
- 用"合理估计":Estimated to save the team ~40 hours per quarter.
- 给频率:Authored 24 weekly reports cited by senior leadership.
简历 bullet 的写作公式
把上面所有规则合起来,可以得到一个简历 bullet 的"公式":
[Action Verb] + [What you did] + [Quantified Result] +
[How / Method (optional)]
套用例子:
Designed (Action Verb)
a real-time fraud detection model (What)
that flagged 94% of fraudulent transactions (Result)
using gradient boosting and ensemble feature selection (Method).
→ Designed a real-time fraud detection model that flagged
94% of fraudulent transactions using gradient boosting
and ensemble feature selection.
每个 bullet 严格遵循这个公式,整份简历就有了"军队般的整齐感",HR 6 秒扫读时也能快速捕捉关键信息。
简历段平行结构(与第二章呼应)
整份简历的所有 bullet 必须严格平行:
- 全部以动词开头(不要
Responsible for...这种名词短语)。 - 过去职位用过去式(Led, Built),现任职位用现在式或过去式都行,但同一职位内必须统一。
- 不要句号 + 不要句号交替。要么所有 bullet 都加句号,要么都不加(推荐都不加)。
- 不要混用
•、-、—,用一种符号到底。
Skills 模块的写法
不要写 Microsoft Office, Communication, Teamwork。这些是默认值,写了反而显得简历水。Skills 应该按类别分组,每类列具体技能:
Languages: Python (advanced), SQL (advanced), JavaScript (intermediate)
Data & ML: Pandas, NumPy, scikit-learn, PyTorch, XGBoost
Cloud & DevOps: AWS (S3, EC2, Lambda), Docker, GitHub Actions, Terraform
Visualization: Tableau, Power BI, Plotly, D3.js
Languages spoken: English (fluent), Mandarin (native), Spanish (B2)
给技能分级时用:native / fluent / advanced / intermediate / basic。不要写 Excellent in / Proficient in / Familiar with——这些是中式英语简历常见错误。
Cover Letter 求职信:三段式
Cover Letter 不是简历的复读,而是讲一个"为什么我是这家公司这个岗位的最优解"的故事。三段式:
第一段:Why this company & this role(30%)
不要 I am writing to apply for the position of... 这种废话开头。直接讲:你为什么对这家公司感兴趣,这个岗位为什么对你有意义。
I came across the Senior Data Analyst role at Stripe last
week, and the description felt like the natural next step
in the work I've been doing for the past three years —
turning messy financial data into product decisions. Stripe's
public commitment to data quality (especially the recent
work on the Sigma platform) is exactly the environment
I want to grow in.
第二段:Why me — 1-2 个具体成就(50%)
这是核心。挑一两个最相关的成就,用 STAR 法则展开成一段 narrative。注意是 narrative(叙事),不是 bullet point 复述。
At my current role at FinTech Co., I led a project that
rebuilt our customer-segmentation pipeline. The old system
required 14 hours of manual SQL each week and missed roughly
20% of high-value users. I redesigned the data model around
event-level signals, automated the refresh in Airflow, and
collaborated with product and marketing to define the new
segments. Within four months, the pipeline ran in 8 minutes,
captured 96% of high-value users, and led to a measurable
lift in retention campaign ROI. The work taught me how much
the difference is in getting the foundations right — the
kind of foundations Stripe is clearly investing in.
第三段:Close + Call to Action(20%)
感谢、表达期待、给出后续行动。不要过分谦卑,也不要过分自信。
I'd welcome the chance to discuss how my background could
contribute to the Sigma team. Thank you for considering my
application; I look forward to the possibility of speaking
soon.
Best regards,
Sarah Chen
Cover Letter 的几个雷区
- 千篇一律:每家公司都用同一封信,把公司名一改就发。HR 一眼能看出来。每封必须为这家公司写一段。
- 过度谦卑:
I am just a fresh graduate without much experience, but I am willing to learn.自我贬低是中文写作传统,英文求职信里是大忌。 - 过度自夸:
I am the best candidate you will ever find.没有证据的自夸 = 自负。 - 翻译腔:
I deeply love your company and hope I can have the honor to work with you.完全不像母语者会说的话。 - 三大段都讲自己:忘了讲为什么是这家公司、为什么是这个岗位。
中式英语简历的高频陷阱
| 中式表达 | 问题 | 地道改写 |
|---|---|---|
| Be responsible for ... | 被动、弱 | Led / Owned / Drove ... |
| Have rich experience in ... | "rich" 用法不地道 | 5+ years of experience in ... |
| Hardworking and diligent | 形容词没意义 | 用具体行动证明 |
| Excellent communication skills | 谁都这么写 = 没说 | Presented to 200+ stakeholders, including C-suite |
| Familiar with Excel | 太初级,不用写 | (直接删,或换成具体函数 / VBA / Power Query) |
| I am a team player | 陈词滥调 | Collaborated across 4 functions to deliver X |
| Strong learning ability | 没人不"strong" | Self-taught Python in 6 weeks; deployed first model in 8 |
| Patriotic / kind / honest | 美国简历完全不写品德 | (全部删除) |
美国简历写作的核心信念是:"Show, don't tell."(用证据展示,不用形容词宣告。)写 "I am hardworking" 没用,写 "Worked 60 hours/week to ship MVP in 6 weeks" 才有用。这一原则贯穿简历、Cover Letter、面试。
简历的最后审查清单
提交简历前对照这 12 条:
- 所有 bullet 都用动词开头?
- 所有 bullet 都至少有一个数字?
- 同一职位内时态统一?
- 没有
Responsible for / Helped with / Worked on? - 没有照片、生日、婚姻状况?
- 电子邮件是
firstname.lastname@gmail.com这种正式形式? - LinkedIn 链接已自定义为
linkedin.com/in/yourname? - 不超过 1 页(应届 / 5 年内经验)?
- 字体一致(推荐 Calibri 11、Helvetica 11、Garamond 11)?
- PDF 导出,文件名
FirstName_LastName_Resume.pdf? - 给三个英语母语者读过,没有语法 / 拼写错误?
- 关键词覆盖了职位描述里 60% 以上的术语(应对 ATS)?
把你现在的简历每一条 bullet 用本章公式重写一遍。改完后做对比:哪些条变得有力了?哪些条改完发现"其实没什么可写的"?后者就是你下一步该补成就的方向。简历不是写作问题,是过去六个月你做过什么有数字结果的事。