{"id":3215,"date":"2026-03-20T15:41:40","date_gmt":"2026-03-20T08:41:40","guid":{"rendered":"https:\/\/mb668s.com\/cam-nang-luong\/?p=3215"},"modified":"2026-03-31T10:53:59","modified_gmt":"2026-03-31T03:53:59","slug":"muc-luong-data-analyst","status":"publish","type":"post","link":"https:\/\/mb668s.com\/cam-nang-luong\/muc-luong-data-analyst\/","title":{"rendered":"M\u1ee9c l\u01b0\u01a1ng Data Analyst \u2013 B\u1ea3ng l\u01b0\u01a1ng theo v\u1ecb tr\u00ed v\u00e0 ng\u00e0nh ngh\u1ec1"},"content":{"rendered":"

Ph\u00e2n t\u00edch d\u1eef li\u1ec7u (Data Analytics) \u0111ang tr\u1edf th\u00e0nh n\u0103ng l\u1ef1c c\u1ed1t l\u00f5i m\u00e0 doanh nghi\u1ec7p Vi\u1ec7t Nam c\u1ea7n \u0111\u1ea7u t\u01b0, t\u1eeb ng\u00e2n h\u00e0ng \u0111\u1ebfn th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed. Ng\u01b0\u1eddi lao \u0111\u1ed9ng t\u00ecm hi\u1ec3u m\u1ee9c l\u01b0\u01a1ng Data Analyst<\/strong> \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 ti\u1ec1m n\u0103ng ngh\u1ec1 nghi\u1ec7p. B\u00e0i vi\u1ebft cung c\u1ea5p b\u1ea3ng l\u01b0\u01a1ng cho Data Analyst, Data Engineer v\u00e0 Data Scientist t\u1ea1i Vi\u1ec7t Nam n\u0103m 2026.<\/p>\n

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T\u1ed5ng quan m\u1ee9c l\u01b0\u01a1ng ng\u00e0nh Data Analytics 2026<\/strong><\/p>\n

\u2013 Fresher Data Analyst: 10 \u2013 15 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng<\/p>\n

\u2013 Data Analyst \/ BI Analyst (1\u20133 n\u0103m): 15 \u2013 25 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng<\/p>\n

\u2013 Senior Data Analyst \/ Data Engineer: 25 \u2013 40 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng<\/p>\n

\u2013 Lead Data Analyst \/ Senior Data Engineer: 40 \u2013 60 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng<\/p>\n

\u2013 Head of Data \/ Data Director: 60 \u2013 100 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng tr\u1edf l\u00ean<\/p>\n<\/div>\n

1. T\u1ed5ng quan v\u1ec1 ngh\u1ec1 Data Analyst t\u1ea1i Vi\u1ec7t Nam<\/h2>\n

Data Analyst (Chuy\u00ean vi\u00ean ph\u00e2n t\u00edch d\u1eef li\u1ec7u) l\u00e0 ng\u01b0\u1eddi thu th\u1eadp, x\u1eed l\u00fd v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u nh\u1eb1m h\u1ed7 tr\u1ee3 doanh nghi\u1ec7p ra quy\u1ebft \u0111\u1ecbnh d\u1ef1a tr\u00ean b\u1eb1ng ch\u1ee9ng (data-driven decision making). Vai tr\u00f2 n\u00e0y \u0111\u00e3 t\u1ed3n t\u1ea1i t\u1eeb l\u00e2u d\u01b0\u1edbi c\u00e1c t\u00ean g\u1ecdi kh\u00e1c nhau, nh\u01b0ng s\u1ef1 b\u00f9ng n\u1ed5 c\u1ee7a Big Data v\u00e0 AI trong 5 n\u0103m g\u1ea7n \u0111\u00e2y \u0111\u00e3 \u0111\u1ea9y nhu c\u1ea7u tuy\u1ec3n d\u1ee5ng t\u0103ng v\u1ecdt.<\/p>\n

Theo b\u00e1o c\u00e1o th\u1ecb tr\u01b0\u1eddng nh\u00e2n s\u1ef1 CNTT c\u1ee7a Navigos Group, nhu c\u1ea7u tuy\u1ec3n d\u1ee5ng v\u1ecb tr\u00ed li\u00ean quan \u0111\u1ebfn d\u1eef li\u1ec7u t\u1ea1i Vi\u1ec7t Nam t\u0103ng trung b\u00ecnh 25 \u2013 30% m\u1ed7i n\u0103m t\u1eeb 2022 \u0111\u1ebfn 2025. C\u00e1c doanh nghi\u1ec7p fintech (MoMo, VNPay, ZaloPay), ng\u00e2n h\u00e0ng s\u1ed1 (Timo, TNEX), th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed (Shopee, Lazada, Tiki) v\u00e0 c\u00e1c t\u1eadp \u0111o\u00e0n FMCG (Unilever, P&G, Masan) l\u00e0 nh\u1eefng nh\u00e0 tuy\u1ec3n d\u1ee5ng l\u1edbn nh\u1ea5t trong l\u0129nh v\u1ef1c n\u00e0y.<\/p>\n

H\u1ec7 sinh th\u00e1i ngh\u1ec1 d\u1eef li\u1ec7u bao g\u1ed3m nhi\u1ec1u vai tr\u00f2 kh\u00e1c nhau. Data Analyst t\u1eadp trung v\u00e0o ph\u00e2n t\u00edch v\u00e0 tr\u1ef1c quan h\u00f3a d\u1eef li\u1ec7u. Business Analyst (Chuy\u00ean vi\u00ean ph\u00e2n t\u00edch kinh doanh) k\u1ebft h\u1ee3p ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u1edbi hi\u1ec3u bi\u1ebft nghi\u1ec7p v\u1ee5. Data Engineer (K\u1ef9 s\u01b0 d\u1eef li\u1ec7u) x\u00e2y d\u1ef1ng h\u1ea1 t\u1ea7ng d\u1eef li\u1ec7u. Data Scientist (Nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u) ph\u00e1t tri\u1ec3n m\u00f4 h\u00ecnh machine learning.<\/p>\n

2. B\u1ea3ng l\u01b0\u01a1ng Data Analyst theo c\u1ea5p b\u1eadc v\u00e0 v\u1ecb tr\u00ed<\/h2>\n

M\u1ee9c l\u01b0\u01a1ng trong ng\u00e0nh d\u1eef li\u1ec7u ph\u1ee5 thu\u1ed9c v\u00e0o c\u1ea5p b\u1eadc kinh nghi\u1ec7m, b\u1ed9 k\u1ef9 n\u0103ng k\u1ef9 thu\u1eadt v\u00e0 ng\u00e0nh ngh\u1ec1 c\u1ee7a doanh nghi\u1ec7p. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ea3ng t\u1ed5ng h\u1ee3p m\u1ee9c l\u01b0\u01a1ng trung b\u00ecnh cho c\u00e1c v\u1ecb tr\u00ed ph\u1ed5 bi\u1ebfn trong h\u1ec7 sinh th\u00e1i d\u1eef li\u1ec7u t\u1ea1i Vi\u1ec7t Nam n\u0103m 2026.<\/p>\n

Th\u1ecb tr\u01b0\u1eddng tuy\u1ec3n d\u1ee5ng hi\u1ec7n nay cho th\u1ea5y nhu c\u1ea7u nh\u00e2n s\u1ef1 data t\u0103ng m\u1ea1nh, b\u1ea1n c\u00f3 th\u1ec3 tham kh\u1ea3o c\u00e1c v\u1ecb tr\u00ed tuy\u1ec3n d\u1ee5ng t\u1ea1i chuy\u00ean m\u1ee5c vi\u1ec7c l\u00e0m CNTT ph\u1ea7n m\u1ec1m<\/a><\/em><\/strong> \u0111\u1ec3 n\u1eafm b\u1eaft c\u01a1 h\u1ed9i ph\u00f9 h\u1ee3p.<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n
V\u1ecb tr\u00ed<\/th>\nKinh nghi\u1ec7m<\/th>\nM\u1ee9c l\u01b0\u01a1ng (tri\u1ec7u VN\u0110\/th\u00e1ng)<\/th>\nK\u1ef9 n\u0103ng c\u1ed1t l\u00f5i<\/th>\n<\/tr>\n<\/thead>\n
Fresher Data Analyst<\/td>\n0 \u2013 1 n\u0103m<\/td>\n10 \u2013 15<\/td>\nSQL, Excel, Python c\u01a1 b\u1ea3n<\/td>\n<\/tr>\n
Data Analyst<\/td>\n1 \u2013 3 n\u0103m<\/td>\n15 \u2013 25<\/td>\nSQL, Python, Tableau\/Power BI<\/td>\n<\/tr>\n
BI Analyst<\/td>\n1 \u2013 3 n\u0103m<\/td>\n15 \u2013 25<\/td>\nPower BI, Tableau, SQL, DAX<\/td>\n<\/tr>\n
Business Analyst (Data-focused)<\/td>\n2 \u2013 4 n\u0103m<\/td>\n18 \u2013 30<\/td>\nSQL, nghi\u1ec7p v\u1ee5 ng\u00e0nh, Jira, data modeling<\/td>\n<\/tr>\n
Senior Data Analyst<\/td>\n3 \u2013 5 n\u0103m<\/td>\n25 \u2013 40<\/td>\nPython, SQL n\u00e2ng cao, statistical analysis<\/td>\n<\/tr>\n
Data Engineer<\/td>\n2 \u2013 5 n\u0103m<\/td>\n25 \u2013 45<\/td>\nPython, Spark, Airflow, AWS\/Azure, ETL<\/td>\n<\/tr>\n
Data Scientist<\/td>\n2 \u2013 5 n\u0103m<\/td>\n30 \u2013 50<\/td>\nPython, ML\/DL, statistics, TensorFlow<\/td>\n<\/tr>\n
Lead Data Analyst \/ Analytics Manager<\/td>\n5+ n\u0103m<\/td>\n40 \u2013 60<\/td>\nQu\u1ea3n l\u00fd team, chi\u1ebfn l\u01b0\u1ee3c data, stakeholder management<\/td>\n<\/tr>\n
Head of Data \/ Data Director<\/td>\n7+ n\u0103m<\/td>\n60 \u2013 100+<\/td>\nData strategy, team building, cross-functional leadership<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

Data Engineer th\u01b0\u1eddng c\u00f3 m\u1ee9c l\u01b0\u01a1ng cao h\u01a1n Data Analyst c\u00f9ng c\u1ea5p b\u1eadc t\u1eeb 15 \u2013 25% do y\u00eau c\u1ea7u k\u1ef9 n\u0103ng k\u1ef9 thu\u1eadt s\u00e2u h\u01a1n v\u1ec1 h\u1ea1 t\u1ea7ng cloud, pipeline d\u1eef li\u1ec7u v\u00e0 ki\u1ebfn tr\u00fac h\u1ec7 th\u1ed1ng. Data Scientist l\u00e0 v\u1ecb tr\u00ed c\u00f3 m\u1ee9c l\u01b0\u01a1ng cao nh\u1ea5t trong nh\u00f3m individual contributor, ph\u1ea3n \u00e1nh y\u00eau c\u1ea7u cao v\u1ec1 n\u1ec1n t\u1ea3ng to\u00e1n \u2013 th\u1ed1ng k\u00ea v\u00e0 machine learning.<\/p>\n

3. M\u1ee9c l\u01b0\u01a1ng Data Analyst theo ng\u00e0nh ngh\u1ec1<\/h2>\n

Ng\u00e0nh ngh\u1ec1 c\u1ee7a doanh nghi\u1ec7p l\u00e0 y\u1ebfu t\u1ed1 t\u1ea1o ra s\u1ef1 ch\u00eanh l\u1ec7ch \u0111\u00e1ng k\u1ec3 trong m\u1ee9c l\u01b0\u01a1ng Data Analyst. Kh\u00f4ng ph\u1ea3i ng\u00e0nh n\u00e0o c\u0169ng tr\u1ea3 m\u1ee9c th\u00f9 lao nh\u01b0 nhau cho c\u00f9ng m\u1ed9t vai tr\u00f2 v\u00e0 c\u1ea5p b\u1eadc kinh nghi\u1ec7m.<\/p>\n

Fintech v\u00e0 ng\u00e2n h\u00e0ng s\u1ed1<\/h3>\n

\u0110\u00e2y l\u00e0 nh\u00f3m ng\u00e0nh tr\u1ea3 m\u1ee9c l\u01b0\u01a1ng cao nh\u1ea5t cho Data Analyst t\u1ea1i Vi\u1ec7t Nam. C\u00e1c c\u00f4ng ty fintech nh\u01b0 MoMo, VNPay, ZaloPay v\u00e0 c\u00e1c ng\u00e2n h\u00e0ng \u0111ang chuy\u1ec3n \u0111\u1ed5i s\u1ed1 m\u1ea1nh m\u1ebd (Techcombank, VPBank, TPBank) c\u1ea7n data analyst \u0111\u1ec3 ph\u00e2n t\u00edch h\u00e0nh vi ng\u01b0\u1eddi d\u00f9ng, x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh t\u00edn d\u1ee5ng v\u00e0 t\u1ed1i \u01b0u s\u1ea3n ph\u1ea9m. Data Analyst t\u1ea1i fintech c\u00f3 2 \u2013 3 n\u0103m kinh nghi\u1ec7m th\u01b0\u1eddng nh\u1eadn 20 \u2013 30 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng, cao h\u01a1n 15 \u2013 20% so v\u1edbi m\u1ee9c trung b\u00ecnh th\u1ecb tr\u01b0\u1eddng.<\/p>\n

Th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed<\/h3>\n

Shopee, Lazada, Tiki v\u00e0 c\u00e1c n\u1ec1n t\u1ea3ng e-commerce tuy\u1ec3n d\u1ee5ng s\u1ed1 l\u01b0\u1ee3ng l\u1edbn Data Analyst v\u00e0 Data Scientist \u0111\u1ec3 ph\u00e2n t\u00edch h\u00e0nh vi mua s\u1eafm, t\u1ed1i \u01b0u thu\u1eadt to\u00e1n \u0111\u1ec1 xu\u1ea5t s\u1ea3n ph\u1ea9m v\u00e0 qu\u1ea3n l\u00fd chu\u1ed7i cung \u1ee9ng. M\u1ee9c l\u01b0\u01a1ng t\u1ea1i c\u00e1c c\u00f4ng ty n\u00e0y th\u01b0\u1eddng t\u1eeb 18 \u2013 35 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng cho v\u1ecb tr\u00ed mid-level, c\u1ed9ng th\u00eam c\u00e1c ph\u00fac l\u1ee3i h\u1ea5p d\u1eabn nh\u01b0 RSU (Restricted Stock Unit) t\u1ea1i Shopee.<\/p>\n

FMCG v\u00e0 s\u1ea3n xu\u1ea5t<\/h3>\n

C\u00e1c t\u1eadp \u0111o\u00e0n FMCG \u0111a qu\u1ed1c gia (Unilever, P&G, Nestl\u00e9, Coca-Cola) v\u00e0 n\u1ed9i \u0111\u1ecba (Masan, Vinamilk) c\u1ea7n Data Analyst \u0111\u1ec3 ph\u00e2n t\u00edch th\u1ecb tr\u01b0\u1eddng, consumer insights v\u00e0 hi\u1ec7u qu\u1ea3 marketing. M\u1ee9c l\u01b0\u01a1ng t\u1eeb 15 \u2013 28 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng cho mid-level, th\u01b0\u1eddng k\u00e8m theo g\u00f3i ph\u00fac l\u1ee3i to\u00e0n di\u1ec7n v\u00e0 c\u01a1 h\u1ed9i \u0111\u00e0o t\u1ea1o qu\u1ed1c t\u1ebf.<\/p>\n

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“Trong k\u1ef7 nguy\u00ean d\u1eef li\u1ec7u, Data Analyst kh\u00f4ng ch\u1ec9 l\u00e0 ng\u01b0\u1eddi ch\u1ea1y b\u00e1o c\u00e1o \u2013 h\u1ecd l\u00e0 ng\u01b0\u1eddi k\u1ec3 c\u00e2u chuy\u1ec7n t\u1eeb d\u1eef li\u1ec7u, gi\u00fap l\u00e3nh \u0111\u1ea1o nh\u00ecn th\u1ea5y c\u01a1 h\u1ed9i v\u00e0 r\u1ee7i ro m\u00e0 con s\u1ed1 th\u00f4 kh\u00f4ng th\u1ec3 hi\u1ec7n.”<\/em><\/p>\n<\/blockquote>\n

B\u1ea1n c\u0169ng c\u00f3 th\u1ec3 t\u00ecm hi\u1ec3u th\u00eam b\u00e0i vi\u1ebft m\u1ee9c l\u01b0\u01a1ng l\u1eadp tr\u00ecnh vi\u00ean<\/a> \u0111\u1ec3 c\u00f3 g\u00f3c nh\u00ecn \u0111\u1ea7y \u0111\u1ee7 h\u01a1n v\u1ec1 ch\u1ee7 \u0111\u1ec1 n\u00e0y.<\/p>\n

4. K\u1ef9 n\u0103ng v\u00e0 c\u00f4ng c\u1ee5 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn m\u1ee9c l\u01b0\u01a1ng<\/h2>\n

B\u1ed9 k\u1ef9 n\u0103ng k\u1ef9 thu\u1eadt (tech stack) c\u1ee7a Data Analyst c\u00f3 \u1ea3nh h\u01b0\u1edfng tr\u1ef1c ti\u1ebfp \u0111\u1ebfn m\u1ee9c thu nh\u1eadp. Kh\u00f4ng ph\u1ea3i Data Analyst n\u00e0o c\u0169ng nh\u1eadn m\u1ee9c l\u01b0\u01a1ng nh\u01b0 nhau \u2013 s\u1ef1 kh\u00e1c bi\u1ec7t n\u1eb1m \u1edf chi\u1ec1u s\u00e2u k\u1ef9 n\u0103ng v\u00e0 kh\u1ea3 n\u0103ng l\u00e0m vi\u1ec7c v\u1edbi c\u00f4ng c\u1ee5 chuy\u00ean bi\u1ec7t.<\/p>\n

SQL l\u00e0 k\u1ef9 n\u0103ng n\u1ec1n t\u1ea3ng b\u1eaft bu\u1ed9c v\u1edbi m\u1ecdi Data Analyst. Tuy nhi\u00ean, s\u1ef1 kh\u00e1c bi\u1ec7t n\u1eb1m \u1edf m\u1ee9c \u0111\u1ed9 th\u00e0nh th\u1ea1o: vi\u1ebft \u0111\u01b0\u1ee3c query ph\u1ee9c t\u1ea1p v\u1edbi window functions, CTE, subquery optimization gi\u00fap \u1ee9ng vi\u00ean n\u1ed5i b\u1eadt h\u01a1n. Python l\u00e0 ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh ph\u1ed5 bi\u1ebfn nh\u1ea5t trong data analytics, v\u1edbi c\u00e1c th\u01b0 vi\u1ec7n pandas, NumPy, matplotlib v\u00e0 scikit-learn. Data Analyst bi\u1ebft Python th\u01b0\u1eddng nh\u1eadn m\u1ee9c l\u01b0\u01a1ng cao h\u01a1n 10 \u2013 20% so v\u1edbi ng\u01b0\u1eddi ch\u1ec9 d\u00f9ng Excel.<\/p>\n

C\u00f4ng c\u1ee5 tr\u1ef1c quan h\u00f3a d\u1eef li\u1ec7u (Data Visualization) l\u00e0 k\u1ef9 n\u0103ng t\u1ea1o gi\u00e1 tr\u1ecb r\u00f5 r\u1ec7t. Tableau v\u00e0 Power BI l\u00e0 hai n\u1ec1n t\u1ea3ng ph\u1ed5 bi\u1ebfn nh\u1ea5t t\u1ea1i Vi\u1ec7t Nam. Ch\u1ee9ng ch\u1ec9 Microsoft PL-300 (Power BI Data Analyst) ho\u1eb7c Tableau Desktop Specialist gi\u00fap ch\u1ee9ng minh n\u0103ng l\u1ef1c v\u00e0 t\u0103ng kh\u1ea3 n\u0103ng \u0111\u00e0m ph\u00e1n l\u01b0\u01a1ng. Google Data Studio (nay l\u00e0 Looker Studio) c\u0169ng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i t\u1ea1i c\u00e1c agency v\u00e0 c\u00f4ng ty marketing.<\/p>\n

\u0110\u1ed1i v\u1edbi Data Engineer, k\u1ef9 n\u0103ng l\u00e0m vi\u1ec7c v\u1edbi n\u1ec1n t\u1ea3ng cloud l\u00e0 y\u1ebfu t\u1ed1 quan tr\u1ecdng. AWS (Amazon Web Services) v\u1edbi c\u00e1c d\u1ecbch v\u1ee5 Redshift, S3, Glue v\u00e0 Microsoft Azure v\u1edbi Azure Data Factory, Synapse Analytics l\u00e0 hai h\u1ec7 sinh th\u00e1i ph\u1ed5 bi\u1ebfn nh\u1ea5t. Ch\u1ee9ng ch\u1ec9 AWS Certified Data Analytics ho\u1eb7c Azure Data Engineer Associate gi\u00fap t\u0103ng thu nh\u1eadp 15 \u2013 25%.<\/p>\n

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L\u01b0u \u00fd v\u1ec1 ch\u1ee9ng ch\u1ec9 v\u00e0 gi\u00e1 tr\u1ecb th\u1ef1c t\u1ebf<\/strong><\/p>\n

\u2013 Ch\u1ee9ng ch\u1ec9 c\u00f3 gi\u00e1 tr\u1ecb h\u1ed7 tr\u1ee3 nh\u01b0ng kh\u00f4ng thay th\u1ebf kinh nghi\u1ec7m th\u1ef1c t\u1ebf. Nh\u00e0 tuy\u1ec3n d\u1ee5ng \u0111\u00e1nh gi\u00e1 cao portfolio d\u1ef1 \u00e1n th\u1ef1c h\u01a1n danh s\u00e1ch ch\u1ee9ng ch\u1ec9 d\u00e0i.<\/p>\n

\u2013 Google Data Analytics Professional Certificate tr\u00ean Coursera l\u00e0 \u0111i\u1ec3m kh\u1edfi \u0111\u1ea7u t\u1ed1t cho fresher, nh\u01b0ng c\u1ea7n b\u1ed5 sung d\u1ef1 \u00e1n c\u00e1 nh\u00e2n \u0111\u1ec3 n\u1ed5i b\u1eadt.<\/p>\n

\u2013 IBM Data Science Professional Certificate v\u00e0 Microsoft PL-300 ph\u00f9 h\u1ee3p cho ng\u01b0\u1eddi mu\u1ed1n chuy\u00ean s\u00e2u v\u1ec1 khoa h\u1ecdc d\u1eef li\u1ec7u ho\u1eb7c BI.<\/p>\n

\u2013 K\u1ef9 n\u0103ng m\u1ec1m (communication, storytelling, stakeholder management) chi\u1ebfm 30 \u2013 40% y\u1ebfu t\u1ed1 quy\u1ebft \u0111\u1ecbnh th\u0103ng ti\u1ebfn l\u00ean Senior v\u00e0 Lead.<\/p>\n<\/div>\n

5. L\u1ed9 tr\u00ecnh th\u0103ng ti\u1ebfn v\u00e0 t\u0103ng tr\u01b0\u1edfng thu nh\u1eadp<\/h2>\n

L\u1ed9 tr\u00ecnh ngh\u1ec1 nghi\u1ec7p trong ng\u00e0nh data analytics t\u1ea1i Vi\u1ec7t Nam th\u01b0\u1eddng b\u1eaft \u0111\u1ea7u t\u1eeb v\u1ecb tr\u00ed Fresher\/Junior Data Analyst sau khi t\u1ed1t nghi\u1ec7p \u0111\u1ea1i h\u1ecdc chuy\u00ean ng\u00e0nh C\u00f4ng ngh\u1ec7 th\u00f4ng tin, Th\u1ed1ng k\u00ea, To\u00e1n \u1ee9ng d\u1ee5ng ho\u1eb7c Kinh t\u1ebf l\u01b0\u1ee3ng. Giai \u0111o\u1ea1n 0 \u2013 1 n\u0103m \u0111\u1ea7u ti\u00ean l\u00e0 th\u1eddi k\u1ef3 h\u1ecdc h\u1ecfi t\u1eadp trung, v\u1edbi m\u1ee9c l\u01b0\u01a1ng kh\u1edfi \u0111i\u1ec3m 10 \u2013 15 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng.<\/p>\n

Sau 1 \u2013 3 n\u0103m, Data Analyst \u0111\u00e3 n\u1eafm v\u1eefng SQL, Python v\u00e0 c\u00f4ng c\u1ee5 BI s\u1ebd th\u0103ng ti\u1ebfn l\u00ean mid-level v\u1edbi m\u1ee9c l\u01b0\u01a1ng 15 \u2013 25 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng. \u0110\u00e2y l\u00e0 giai \u0111o\u1ea1n quan tr\u1ecdng \u0111\u1ec3 ch\u1ecdn h\u01b0\u1edbng chuy\u00ean s\u00e2u: ti\u1ebfp t\u1ee5c con \u0111\u01b0\u1eddng Data Analyst, chuy\u1ec3n sang Data Engineering, Data Science ho\u1eb7c Business Intelligence.<\/p>\n

T\u1eeb n\u0103m th\u1ee9 3 \u2013 5, Senior Data Analyst c\u00f3 th\u1ec3 ph\u00e2n nh\u00e1nh theo hai h\u01b0\u1edbng: chuy\u00ean gia k\u1ef9 thu\u1eadt (Individual Contributor track) ho\u1eb7c qu\u1ea3n l\u00fd (Management track). Chuy\u00ean gia k\u1ef9 thu\u1eadt v\u1edbi title nh\u01b0 Staff Data Analyst ho\u1eb7c Principal Analyst nh\u1eadn m\u1ee9c l\u01b0\u01a1ng 35 \u2013 50 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng m\u00e0 kh\u00f4ng c\u1ea7n qu\u1ea3n l\u00fd team. H\u01b0\u1edbng qu\u1ea3n l\u00fd qua v\u1ecb tr\u00ed Analytics Manager, r\u1ed3i l\u00ean Head of Data \/ Data Director v\u1edbi m\u1ee9c l\u01b0\u01a1ng 60 \u2013 100 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng tr\u1edf l\u00ean.<\/p>\n

Xu h\u01b0\u1edbng \u0111\u00e1ng ch\u00fa \u00fd l\u00e0 s\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa Data Analytics v\u00e0 AI\/Machine Learning. Data Analyst bi\u1ebft x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n c\u01a1 b\u1ea3n (predictive analytics) b\u1eb1ng Python scikit-learn ho\u1eb7c AutoML tools c\u00f3 gi\u00e1 tr\u1ecb th\u1ecb tr\u01b0\u1eddng cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi analyst ch\u1ec9 l\u00e0m b\u00e1o c\u00e1o m\u00f4 t\u1ea3 (descriptive analytics).<\/p>\n

\n

L\u1eddi khuy\u00ean t\u0103ng thu nh\u1eadp cho Data Analyst<\/strong><\/p>\n

\u2013 X\u00e2y d\u1ef1ng portfolio tr\u00ean GitHub v\u1edbi 3 \u2013 5 d\u1ef1 \u00e1n ph\u00e2n t\u00edch d\u1eef li\u1ec7u th\u1ef1c t\u1ebf, bao g\u1ed3m data cleaning, EDA (Exploratory Data Analysis), visualization v\u00e0 insights. \u0110\u00e2y l\u00e0 “b\u1eb1ng ch\u1ee9ng” thuy\u1ebft ph\u1ee5c h\u01a1n m\u1ecdi ch\u1ee9ng ch\u1ec9.<\/p>\n

\u2013 H\u1ecdc c\u00e1ch k\u1ec3 chuy\u1ec7n b\u1eb1ng d\u1eef li\u1ec7u (data storytelling). Bi\u1ebfn nh\u1eefng con s\u1ed1 ph\u1ee9c t\u1ea1p th\u00e0nh insight d\u1ec5 hi\u1ec3u cho stakeholders phi k\u1ef9 thu\u1eadt l\u00e0 k\u1ef9 n\u0103ng gi\u00fap b\u1ea1n th\u0103ng ti\u1ebfn nhanh nh\u1ea5t.<\/p>\n

\u2013 Ch\u1ecdn ng\u00e0nh c\u00f3 nhu c\u1ea7u d\u1eef li\u1ec7u cao v\u00e0 tr\u1ea3 l\u01b0\u01a1ng t\u1ed1t: fintech, ng\u00e2n h\u00e0ng s\u1ed1, e-commerce. Sau 2 \u2013 3 n\u0103m t\u00edch l\u0169y domain knowledge, b\u1ea1n tr\u1edf th\u00e0nh \u1ee9ng vi\u00ean c\u00f3 gi\u00e1 tr\u1ecb k\u00e9p: hi\u1ec3u data l\u1eabn nghi\u1ec7p v\u1ee5.<\/p>\n<\/div>\n

6. So s\u00e1nh m\u1ee9c l\u01b0\u01a1ng Data Analyst v\u1edbi c\u00e1c v\u1ecb tr\u00ed IT kh\u00e1c<\/h2>\n

\u0110\u1ec3 \u0111\u00e1nh gi\u00e1 kh\u00e1ch quan ti\u1ec1m n\u0103ng thu nh\u1eadp c\u1ee7a Data Analyst, c\u1ea7n \u0111\u1eb7t trong t\u01b0\u01a1ng quan so s\u00e1nh v\u1edbi c\u00e1c v\u1ecb tr\u00ed CNTT ph\u1ed5 bi\u1ebfn kh\u00e1c t\u1ea1i Vi\u1ec7t Nam. Data Analyst c\u00f3 m\u1ee9c l\u01b0\u01a1ng kh\u1edfi \u0111i\u1ec3m t\u01b0\u01a1ng \u0111\u01b0\u01a1ng ho\u1eb7c nh\u1ec9nh h\u01a1n m\u1ed9t s\u1ed1 v\u1ecb tr\u00ed IT truy\u1ec1n th\u1ed1ng, nh\u01b0ng t\u1ed1c \u0111\u1ed9 t\u0103ng l\u01b0\u01a1ng \u1edf c\u1ea5p senior ph\u1ee5 thu\u1ed9c nhi\u1ec1u v\u00e0o h\u01b0\u1edbng chuy\u00ean s\u00e2u.<\/p>\n

So v\u1edbi Software Developer (L\u1eadp tr\u00ecnh vi\u00ean ph\u1ea7n m\u1ec1m), Data Analyst fresher c\u00f3 m\u1ee9c l\u01b0\u01a1ng t\u01b0\u01a1ng \u0111\u01b0\u01a1ng (10 \u2013 15 tri\u1ec7u). Tuy nhi\u00ean, \u1edf c\u1ea5p senior, Software Developer chuy\u00ean back-end ho\u1eb7c DevOps th\u01b0\u1eddng nh\u1eadn 30 \u2013 50 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng, ngang ho\u1eb7c cao h\u01a1n Senior Data Analyst.<\/p>\n

V\u1ecb tr\u00ed Product Manager (Qu\u1ea3n l\u00fd s\u1ea3n ph\u1ea9m) l\u00e0 h\u01b0\u1edbng chuy\u1ec3n \u0111\u1ed5i ph\u1ed5 bi\u1ebfn cho Data Analyst sau 3 \u2013 5 n\u0103m, v\u1edbi m\u1ee9c l\u01b0\u01a1ng 30 \u2013 50 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng \u1edf mid-level. N\u1ec1n t\u1ea3ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u gi\u00fap Product Manager ra quy\u1ebft \u0111\u1ecbnh d\u1ef1a tr\u00ean data thay v\u00ec c\u1ea3m t\u00ednh, t\u1ea1o l\u1ee3i th\u1ebf c\u1ea1nh tranh r\u00f5 r\u1ec7t tr\u00ean th\u1ecb tr\u01b0\u1eddng.<\/p>\n

7. C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p<\/h2>\n

1. Data Analyst kh\u00f4ng c\u00f3 b\u1eb1ng CNTT c\u00f3 th\u1ec3 \u0111\u1ea1t m\u1ee9c l\u01b0\u01a1ng tr\u00ean 20 tri\u1ec7u \u0111\u1ed3ng kh\u00f4ng?<\/em><\/strong><\/p>\n

Ho\u00e0n to\u00e0n c\u00f3 th\u1ec3. Nhi\u1ec1u Data Analyst th\u00e0nh c\u00f4ng \u0111\u1ebfn t\u1eeb ng\u00e0nh Kinh t\u1ebf, Th\u1ed1ng k\u00ea, To\u00e1n h\u1ecdc ho\u1eb7c th\u1eadm ch\u00ed chuy\u1ec3n ng\u00e0nh ho\u00e0n to\u00e0n. \u0110i\u1ec1u quan tr\u1ecdng l\u00e0 n\u0103ng l\u1ef1c th\u1ef1c t\u1ebf: th\u00e0nh th\u1ea1o SQL, Python, Tableau ho\u1eb7c Power BI v\u00e0 c\u00f3 portfolio d\u1ef1 \u00e1n ch\u1ea5t l\u01b0\u1ee3ng. Ch\u1ee9ng ch\u1ec9 Google Data Analytics Certificate ho\u1eb7c IBM Data Science c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 ch\u1ee9ng minh n\u0103ng l\u1ef1c v\u1edbi nh\u00e0 tuy\u1ec3n d\u1ee5ng. Sau 1 \u2013 2 n\u0103m kinh nghi\u1ec7m th\u1ef1c t\u1ebf, m\u1ee9c l\u01b0\u01a1ng 20 \u2013 25 tri\u1ec7u l\u00e0 ho\u00e0n to\u00e0n kh\u1ea3 thi b\u1ea5t k\u1ec3 ng\u00e0nh h\u1ecdc.<\/p>\n

2. Data Analyst hay Data Engineer c\u00f3 m\u1ee9c l\u01b0\u01a1ng cao h\u01a1n?<\/em><\/strong><\/p>\n

Data Engineer th\u01b0\u1eddng nh\u1eadn m\u1ee9c l\u01b0\u01a1ng cao h\u01a1n Data Analyst c\u00f9ng c\u1ea5p b\u1eadc t\u1eeb 15 \u2013 25%, do y\u00eau c\u1ea7u k\u1ef9 n\u0103ng k\u1ef9 thu\u1eadt s\u00e2u h\u01a1n v\u1ec1 h\u1ea1 t\u1ea7ng cloud (AWS, Azure), pipeline d\u1eef li\u1ec7u (Airflow, Spark) v\u00e0 ki\u1ebfn tr\u00fac h\u1ec7 th\u1ed1ng. Tuy nhi\u00ean, Data Analyst c\u00f3 l\u1ed9 tr\u00ecnh chuy\u1ec3n sang Product Manager ho\u1eb7c Analytics Manager \u2013 nh\u1eefng v\u1ecb tr\u00ed c\u00f3 thu nh\u1eadp c\u1ea1nh tranh \u1edf c\u1ea5p senior. L\u1ef1a ch\u1ecdn n\u00ean d\u1ef1a tr\u00ean s\u1edf th\u00edch c\u00e1 nh\u00e2n: n\u1ebfu th\u00edch x\u00e2y d\u1ef1ng h\u1ec7 th\u1ed1ng th\u00ec Data Engineer ph\u00f9 h\u1ee3p h\u01a1n, n\u1ebfu th\u00edch ph\u00e2n t\u00edch v\u00e0 giao ti\u1ebfp th\u00ec Data Analyst l\u00e0 h\u01b0\u1edbng \u0111i t\u1ed1t.<\/p>\n

3. Ch\u1ee9ng ch\u1ec9 n\u00e0o gi\u00fap t\u0103ng l\u01b0\u01a1ng Data Analyst nhanh nh\u1ea5t?<\/em><\/strong><\/p>\n

Ba ch\u1ee9ng ch\u1ec9 c\u00f3 gi\u00e1 tr\u1ecb th\u1ef1c t\u1ebf cao nh\u1ea5t hi\u1ec7n nay l\u00e0: Microsoft PL-300 (Power BI Data Analyst) ph\u00f9 h\u1ee3p cho BI Analyst, Google Data Analytics Professional Certificate cho fresher chuy\u1ec3n ng\u00e0nh, v\u00e0 AWS Certified Data Analytics cho ng\u01b0\u1eddi mu\u1ed1n h\u01b0\u1edbng \u0111\u1ebfn Data Engineer. Tuy nhi\u00ean, ch\u1ee9ng ch\u1ec9 ch\u1ec9 l\u00e0 \u0111i\u1ec3m c\u1ed9ng \u2013 nh\u00e0 tuy\u1ec3n d\u1ee5ng \u0111\u00e1nh gi\u00e1 cao nh\u1ea5t kh\u1ea3 n\u0103ng gi\u1ea3i quy\u1ebft b\u00e0i to\u00e1n th\u1ef1c t\u1ebf trong ph\u1ecfng v\u1ea5n k\u1ef9 thu\u1eadt (technical interview) v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng portfolio.<\/p>\n

M\u1ee9c l\u01b0\u01a1ng Data Analyst<\/strong> t\u1ea1i Vi\u1ec7t Nam n\u0103m 2026 cho th\u1ea5y tri\u1ec3n v\u1ecdng t\u00edch c\u1ef1c v\u1edbi kh\u1edfi \u0111i\u1ec3m 10 \u2013 15 tri\u1ec7u \u0111\u1ed3ng cho fresher v\u00e0 ti\u1ec1m n\u0103ng v\u01b0\u1ee3t 60 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng \u1edf c\u1ea5p qu\u1ea3n l\u00fd. Ng\u00e0nh fintech, ng\u00e2n h\u00e0ng s\u1ed1 v\u00e0 th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed d\u1eabn \u0111\u1ea7u v\u1ec1 nhu c\u1ea7u tuy\u1ec3n d\u1ee5ng. \u0110\u1ea7u t\u01b0 v\u00e0o Python, SQL, c\u00f4ng c\u1ee5 BI v\u00e0 ch\u1ee9ng ch\u1ec9 qu\u1ed1c t\u1ebf l\u00e0 c\u00e1ch hi\u1ec7u qu\u1ea3 \u0111\u1ec3 n\u00e2ng cao gi\u00e1 tr\u1ecb ngh\u1ec1 nghi\u1ec7p.<\/p>\n

Minh An<\/strong><\/p>\n

N\u1ed9i dung trong b\u00e0i mang t\u00ednh tham kh\u1ea3o v\u00e0 \u0111\u1ecbnh h\u01b0\u1edbng t\u1ed5ng quan; c\u01a1 h\u1ed9i ngh\u1ec1 nghi\u1ec7p v\u00e0 thu nh\u1eadp th\u1ef1c t\u1ebf c\u00f3 th\u1ec3 kh\u00e1c nhau t\u00f9y thu\u1ed9c v\u00e0o n\u0103ng l\u1ef1c, kinh nghi\u1ec7m, v\u1ecb tr\u00ed, doanh nghi\u1ec7p v\u00e0 th\u1eddi \u0111i\u1ec3m th\u1ecb tr\u01b0\u1eddng.<\/em><\/p>\n

\n<\/p>","protected":false},"excerpt":{"rendered":"

Ph\u00e2n t\u00edch d\u1eef li\u1ec7u (Data Analytics) \u0111ang tr\u1edf th\u00e0nh n\u0103ng l\u1ef1c c\u1ed1t l\u00f5i m\u00e0 doanh nghi\u1ec7p Vi\u1ec7t Nam c\u1ea7n \u0111\u1ea7u t\u01b0, t\u1eeb ng\u00e2n h\u00e0ng \u0111\u1ebfn …<\/p>\n","protected":false},"author":58,"featured_media":3234,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[54],"class_list":["post-3215","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bi-quyet-luong","tag-muc-luong-theo-nganh"],"_links":{"self":[{"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/posts\/3215","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/comments?post=3215"}],"version-history":[{"count":2,"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/posts\/3215\/revisions"}],"predecessor-version":[{"id":3451,"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/posts\/3215\/revisions\/3451"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/media\/3234"}],"wp:attachment":[{"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/media?parent=3215"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/categories?post=3215"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-luong\/wp-json\/wp\/v2\/tags?post=3215"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}