[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-92369":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":9,"languages":9,"totalLinesOfCode":9,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":13,"stars7d":13,"stars30d":11,"stars90d":13,"forks30d":13,"starsTrendScore":13,"compositeScore":14,"rankGlobal":9,"rankLanguage":9,"license":15,"archived":16,"fork":16,"defaultBranch":17,"hasWiki":18,"hasPages":16,"topics":19,"createdAt":9,"pushedAt":9,"updatedAt":20,"readmeContent":21,"aiSummary":22,"trendingCount":13,"starSnapshotCount":13,"syncStatus":23,"lastSyncTime":24,"discoverSource":25},92369,"data-road-map-by-roles","tunguyenn99\u002Fdata-road-map-by-roles","tunguyenn99","If I had to start over from scratch",null,169,22,1,0,46.29,"MIT License",false,"main",true,[],"2026-07-22 04:02:05","# 🗺️ Data Career Roadmaps \u002F Lộ trình Nghề nghiệp ngành Dữ liệu\n\n\u003Cp align=\"center\">\n  \u003Ca href=\".\u002Froadmap_viet\u002FREADME.md\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FNgôn_ngữ-Tiếng_Việt-blue?style=for-the-badge\" alt=\"Tiếng Việt\">\u003C\u002Fa>\n  \u003Ca href=\".\u002Froadmap_eng\u002FREADME.md\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLanguage-English-red?style=for-the-badge\" alt=\"English\">\u003C\u002Fa>\n\u003C\u002Fp>\n\n---\n\n## 🇻🇳 Tiếng Việt (Vietnamese)\n\n## 🗺️ Data Career Roadmaps — Mục lục\n\n> *Nếu bạn đang đọc trang này, có thể bạn đang ở một trong những ngã rẽ sau: vừa tốt nghiệp và tự hỏi \"data career bắt đầu từ đâu?\", đang làm DA nhưng muốn growth mạnh hơn, hoặc đang ở ngành khác mà nghe nói \"data is the new oil\" quá nhiều lần. Dù bạn ở đâu — bạn đến đúng chỗ rồi. Bộ roadmaps này không phải lý thuyết suông — mà là bản đồ thực tế, viết từ góc nhìn của người đã đi qua và đang đi cùng bạn.*\n\n### Tổng quan\n\nBộ 6 Career Roadmaps cho các vai trò trong Data team, thiết kế với 5 levels:\n**Intern → Fresher → Junior → Mid → Senior**\n\nMỗi roadmap bao gồm:\n\n- Tổng quan vai trò & responsibilities\n- Skill matrix theo level (Technical + Soft skills)\n- Learning path chi tiết theo phase\n- Resources verified (courses, books, certifications, communities)\n- Portfolio projects gợi ý\n- Interview prep\n- Salary benchmark (VN market 2025-2026)\n- Career progression paths\n- **Day-in-the-Life stories** (theo level: Intern → Senior)\n- **Vietnam Job Market Analysis** (companies, JD mẫu, hiring trends)\n- **Learning Schedule Templates** (part-time 2h\u002Fngày & full-time intensive)\n\n---\n\n### 📚 Danh sách Roadmaps\n\nMỗi role trong data giống như một nghề thủ công riêng — cùng làm việc với dữ liệu, nhưng góc nhìn, công cụ, và \"sản phẩm cuối\" hoàn toàn khác nhau. DA giống thám tử tìm insight ẩn trong data. BI Developer là kiến trúc sư hệ thống thông tin cho cả tổ chức. BI Engineer là người xây nền móng phía sau mỗi dashboard đẹp. Data Governance là \"hệ miễn dịch\" giữ cho data organization khỏe mạnh. Analytics Engineer là nhà máy lọc — biến quặng thô thành vàng ròng, có quy trình, có kiểm định.\n\n| # | Role | File | Mô tả |\n|---|---|---|---|\n| 1 | **Data Analyst (DA)** | [ROADMAP-DA.md](.\u002Froadmap_viet\u002FROADMAP-DA.md) | Phân tích dữ liệu, insight, storytelling — thám tử của thế giới data |\n| 2 | **Business Intelligence (BI)** | [ROADMAP-BI.md](.\u002Froadmap_viet\u002FROADMAP-BI.md) | Dashboard, reporting systems, visualization — kiến trúc sư thông tin |\n| 3 | **BI Engineer** | [ROADMAP-BI-ENGINEER.md](.\u002Froadmap_viet\u002FROADMAP-BI-ENGINEER.md) | BI infrastructure, pipelines, data warehouse — người xây nền móng |\n| 4 | **Data Governance (DG)** | [ROADMAP-DG.md](.\u002Froadmap_viet\u002FROADMAP-DG.md) | Policies, quality, compliance, catalog — hệ miễn dịch của data org |\n| 5 | **Analytics Engineer (AE)** | [ROADMAP-AE.md](.\u002Froadmap_viet\u002FROADMAP-AE.md) | dbt, transformation layer, data modeling — nhà máy lọc dữ liệu |\n| 6 | **Switch: DA → AE** | [ROADMAP-SWITCH-DA-TO-AE.md](.\u002Froadmap_viet\u002FROADMAP-SWITCH-DA-TO-AE.md) | Transition guide, timeline, portfolio — con đường tự nhiên nhất |\n\n---\n\n### 🔀 So sánh nhanh các roles\n\nHãy tưởng tượng data team như một nhà hàng: DA là người nếm thử và review món ăn (insight), BI Developer là người bày trí và serve (dashboard), BI Engineer là đầu bếp phụ chuẩn bị nguyên liệu sạch (pipeline), AE là người chuẩn hóa công thức nấu (transformation), và DG là người đảm bảo vệ sinh an toàn thực phẩm (governance). Mỗi role thiếu một thì nhà hàng không thể vận hành.\n\n#### Technical Focus\n\n```text\n                    Business ◄─────────────────────────────► Engineering\n                         │                                       │\n               DA ───────┼──── BI ──── DG ──── AE ──── BI Eng ──┤\n                         │                                       │\n             Insight      │    Report   Policy  Transform  Infra  │\n```\n\n#### Skill Overlap\n\n| Skill | DA | BI | BI Eng | DG | AE |\n|---|:---:|:---:|:---:|:---:|:---:|\n| SQL | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ |\n| Python | ⭐⭐ | ⭐ | ⭐⭐⭐ | ⭐ | ⭐⭐ |\n| Statistics | ⭐⭐⭐ | ⭐ | ⭐ | ⭐ | ⭐ |\n| BI Tools | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | ⭐ | ⭐ |\n| Data Modeling | ⭐ | ⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ |\n| dbt | - | - | ⭐⭐⭐ | ⭐ | ⭐⭐⭐⭐ |\n| Git\u002FCI\u002FCD | ⭐ | ⭐ | ⭐⭐⭐ | ⭐ | ⭐⭐⭐ |\n| Cloud DW | ⭐ | ⭐ | ⭐⭐⭐ | ⭐ | ⭐⭐⭐ |\n| Policy\u002FCompliance | - | ⭐ | ⭐ | ⭐⭐⭐⭐ | ⭐ |\n| Business Acumen | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐ | ⭐⭐ |\n\n#### Salary Ranges (Mid level, VND\u002Ftháng)\n\n| Role | Range | Demand trend |\n|---|---|---|\n| DA | 20-40tr | Stable, high supply |\n| BI | 22-45tr | Stable, moderate supply |\n| BI Engineer | 25-50tr | Growing fast |\n| DG | 22-45tr | Growing (regulation-driven) |\n| AE | 28-55tr | Highest growth, lowest supply |\n\n---\n\n### 🎯 Chọn role nào?\n\nNếu bạn đang phân vân — đừng lo, đó là bình thường. Không ai bắt đầu career bằng cách biết chính xác mình muốn gì. Flowchart dưới đây giúp bạn nhìn rõ hơn thiên hướng của mình. Nhưng nhớ: career paths không linear — nhiều người bắt đầu DA, rẽ sang AE, rồi quay lại BI. Quan trọng là bạn bắt đầu đi.\n\n#### Flowchart quyết định\n\n```text\nBạn thích gì nhất?\n│\n├── \"Tìm insight, kể story bằng data\"\n│   └── → Data Analyst\n│\n├── \"Xây dashboard đẹp, serve cả company\"\n│   └── → BI Analyst\u002FDeveloper\n│\n├── \"Build hệ thống data pipeline + BI\"\n│   └── → BI Engineer\n│\n├── \"Đảm bảo data đúng, an toàn, tuân thủ\"\n│   └── → Data Governance\n│\n├── \"Write code biến raw → trusted data, apply SWE practices\"\n│   └── → Analytics Engineer\n│\n└── \"Đang là DA, muốn upskill + salary growth\"\n    └── → Switch DA → AE\n```\n\n---\n\n### 📅 Last Updated\n\nJune 2026\n\n---\n\n### 📝 Notes\n\n- Salary benchmarks dựa trên market VN (HCM\u002FHN), khảo sát từ TopDev, ITViec, LinkedIn, Glassdoor\n- Resources links verified tại thời điểm viết (June 2026)\n- Career paths không linear — có thể combine skills từ nhiều roles\n- Context đã được thêm vào các roadmap relevant (DG, AE)\n\n---\n\n> *Dù bạn chọn con đường nào — nhớ rằng mọi senior đều từng là fresher lo lắng. Mọi expert đều từng Google \"what is LEFT JOIN.\" Bạn không cần giỏi sẵn — bạn chỉ cần bắt đầu và không dừng lại. Data career tại Việt Nam đang ở thời điểm vàng: demand tăng, salary tăng, cơ hội remote tăng. Hãy tận dụng momentum này. Chúc bạn tìm được con đường phù hợp, và enjoy hành trình.*\n\n---\n\n## 🇬🇧 English\n\n## 🗺️ Data Career Roadmaps — Table of Contents\n\n> *If you are reading this page, you might be at one of these crossroads: a recent graduate wondering \"where does a data career start?\", a current DA looking for stronger growth, or transitioning from another field after hearing \"data is the new oil\" one too many times. Wherever you are — you've come to the right place. This set of roadmaps is not just empty theory — it is a practical guide written from the perspective of someone who has walked the path and is walking it with you.*\n\n### Overview\n\nA set of 6 Career Roadmaps for key roles in a Data team, designed across 5 levels:\n**Intern → Fresher → Junior → Mid → Senior**\n\nEach roadmap includes:\n\n- Role overview & responsibilities\n- Skill matrix by level (Technical + Soft skills)\n- Detailed learning path by phase\n- Verified resources (courses, books, certifications, communities)\n- Suggested portfolio projects\n- Interview preparation\n- Salary benchmark (Vietnam market 2025-2026)\n- Career progression paths\n- **Day-in-the-Life stories** (by level: Intern → Senior)\n- **Vietnam Job Market Analysis** (companies, sample JDs, hiring trends)\n- **Learning Schedule Templates** (part-time 2h\u002Fday & full-time intensive)\n\n---\n\n### 📚 List of Roadmaps\n\nEach role in data is like its own craft — working with the same data, but the perspectives, tools, and \"end products\" are completely different. A DA is like a detective finding hidden insights in data. A BI Developer is an information systems architect for the entire organization. A BI Engineer is the one building the foundation behind every beautiful dashboard. Data Governance is the \"immune system\" keeping the data organization healthy. An Analytics Engineer is the refinery — turning raw ore into pure gold, with standardized processes and quality control.\n\n| # | Role | File | Description |\n|---|---|---|---|\n| 1 | **Data Analyst (DA)** | [ROADMAP-DA.md](.\u002Froadmap_eng\u002FROADMAP-DA.md) | Data analysis, insights, storytelling — the detective of the data world |\n| 2 | **Business Intelligence (BI)** | [ROADMAP-BI.md](.\u002Froadmap_eng\u002FROADMAP-BI.md) | Dashboards, reporting systems, visualization — the information architect |\n| 3 | **BI Engineer** | [ROADMAP-BI-ENGINEER.md](.\u002Froadmap_eng\u002FROADMAP-BI-ENGINEER.md) | BI infrastructure, pipelines, data warehouse — the foundation builder |\n| 4 | **Data Governance (DG)** | [ROADMAP-DG.md](.\u002Froadmap_eng\u002FROADMAP-DG.md) | Policies, quality, compliance, catalog — the immune system of the data org |\n| 5 | **Analytics Engineer (AE)** | [ROADMAP-AE.md](.\u002Froadmap_eng\u002FROADMAP-AE.md) | dbt, transformation layer, data modeling — the data refinery |\n| 6 | **Switch: DA → AE** | [ROADMAP-SWITCH-DA-TO-AE.md](.\u002Froadmap_eng\u002FROADMAP-SWITCH-DA-TO-AE.md) | Transition guide, timeline, portfolio — the most natural path |\n\n---\n\n### 🔀 Role Quick Comparison\n\nImagine the data team as a restaurant: the DA is the one tasting and reviewing the dishes (insights), the BI Developer is the one arranging and serving them (dashboards), the BI Engineer is the prep cook preparing clean ingredients (pipelines), the AE is the one standardizing the recipes (transformation), and the DG is the inspector ensuring food safety and hygiene (governance). If any role is missing, the restaurant cannot function.\n\n#### Technical Focus\n\n```text\n                    Business ◄─────────────────────────────► Engineering\n                         │                                       │\n               DA ───────┼──── BI ──── DG ──── AE ──── BI Eng ──┤\n                         │                                       │\n             Insight      │    Report   Policy  Transform  Infra  │\n```\n\n#### Skill Overlap\n\n| Skill | DA | BI | BI Eng | DG | AE |\n|---|:---:|:---:|:---:|:---:|:---:|\n| SQL | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ |\n| Python | ⭐⭐ | ⭐ | ⭐⭐⭐ | ⭐ | ⭐⭐ |\n| Statistics | ⭐⭐⭐ | ⭐ | ⭐ | ⭐ | ⭐ |\n| BI Tools | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | ⭐ | ⭐ |\n| Data Modeling | ⭐ | ⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ |\n| dbt | - | - | ⭐⭐⭐ | ⭐ | ⭐⭐⭐⭐ |\n| Git\u002FCI\u002FCD | ⭐ | ⭐ | ⭐⭐⭐ | ⭐ | ⭐⭐⭐ |\n| Cloud DW | ⭐ | ⭐ | ⭐⭐⭐ | ⭐ | ⭐⭐⭐ |\n| Policy\u002FCompliance | - | ⭐ | ⭐ | ⭐⭐⭐⭐ | ⭐ |\n| Business Acumen | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐ | ⭐⭐ |\n\n#### Salary Ranges (Mid level, VND\u002Fmonth)\n\n| Role | Range | Demand trend |\n|---|---|---|\n| DA | 20-40M | Stable, high supply |\n| BI | 22-45M | Stable, moderate supply |\n| BI Engineer | 25-50M | Growing fast |\n| DG | 22-45M | Growing (regulation-driven) |\n| AE | 28-55M | Highest growth, lowest supply |\n\n---\n\n### 🎯 Which role to choose?\n\nIf you are hesitant — don't worry, that's completely normal. No one starts their career knowing exactly what they want. The flowchart below helps you see your inclinations more clearly. But remember: career paths are not linear — many people start as a DA, transition to an AE, and then return to BI. The important thing is that you start moving.\n\n#### Decision Flowchart\n\n```text\nWhat do you enjoy the most?\n│\n├── \"Finding insights, telling stories with data\"\n│   └── → Data Analyst\n│\n├── \"Building beautiful dashboards, serving the whole company\"\n│   └── → BI Analyst\u002FDeveloper\n│\n├── \"Building data pipeline infrastructure + BI\"\n│   └── → BI Engineer\n│\n├── \"Ensuring data accuracy, security, and compliance\"\n│   └── → Data Governance\n│\n├── \"Writing code to transform raw → trusted data, applying SWE practices\"\n│   └── → Analytics Engineer\n│\n└── \"Currently a DA, looking to upskill + salary growth\"\n    └── → Switch DA → AE\n```\n\n---\n\n### 📅 Last Updated\n\nJune 2026\n\n---\n\n### 📝 Notes\n\n- Salary benchmarks are based on the Vietnam market (HCM\u002FHN), surveyed from TopDev, ITViec, LinkedIn, Glassdoor\n- Resource links verified at the time of writing (June 2026)\n- Career paths are not linear — you can combine skills from multiple roles\n- Context has been added to relevant roadmaps (DG, AE)\n\n---\n\n> *Whichever path you choose — remember that every senior was once an anxious fresher. Every expert once Googled \"what is LEFT JOIN.\" You don't need to be good to start — you just need to start and not stop. The data career market in Vietnam is at a golden moment: demand is rising, salaries are rising, and remote opportunities are growing. Take advantage of this momentum. Wish you find the right path, and enjoy the journey.*\n","这是一个面向数据领域从业者的分角色职业发展路径指南，覆盖数据分析师、商业智能工程师、分析工程师等6类核心岗位。项目以越南和英语双语呈现，每条路径按实习到资深5个职级设计，包含技能矩阵、学习路线、实战项目、面试准备、薪资参考及越南本地岗位分析，并提供真实工作日志与学习时间模板。内容基于一线从业者经验提炼，强调实操性与本地化适配，适合数据新人规划入行路径、在职人员明确进阶方向或转岗者系统梳理能力缺口。",2,"2026-07-08 04:30:11","CREATED_QUERY"]