{"id":22022,"date":"2026-05-27T13:59:33","date_gmt":"2026-05-27T06:59:33","guid":{"rendered":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/?p=22022"},"modified":"2026-05-27T15:42:17","modified_gmt":"2026-05-27T08:42:17","slug":"cv-data-analyst","status":"publish","type":"post","link":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/viet-cv-resume\/cv-data-analyst","title":{"rendered":"H\u01b0\u1edbng d\u1eabn vi\u1ebft CV Data Analyst: c\u1ea5u tr\u00fac, c\u00f4ng c\u1ee5 v\u00e0 k\u1ef9 n\u0103ng c\u1ea7n \u0111\u01b0a v\u00e0o"},"content":{"rendered":"

Data Analyst (Chuy\u00ean vi\u00ean ph\u00e2n t\u00edch d\u1eef li\u1ec7u) l\u00e0 v\u1ecb tr\u00ed c\u1ea7u n\u1ed1i gi\u1eefa d\u1eef li\u1ec7u th\u00f4 v\u00e0 quy\u1ebft \u0111\u1ecbnh kinh doanh, l\u00e0m vi\u1ec7c c\u00f9ng Business Intelligence (BI), Marketing, Operations v\u00e0 Product Owner \u0111\u1ec3 chuy\u1ec3n s\u1ed1 li\u1ec7u th\u00e0nh insight c\u00f3 th\u1ec3 h\u00e0nh \u0111\u1ed9ng. M\u1ed9t CV Data Analyst<\/strong> thuy\u1ebft ph\u1ee5c ph\u1ea3i cho nh\u00e0 tuy\u1ec3n d\u1ee5ng th\u1ea5y ba \u0111i\u1ec3m: n\u1ec1n t\u1ea3ng truy v\u1ea5n d\u1eef li\u1ec7u v\u1eefng (SQL, Python pandas), t\u01b0 duy th\u1ed1ng k\u00ea v\u00e0 A\/B testing, c\u00f9ng portfolio dashboard c\u00f3 demo th\u1eadt. B\u00e0i vi\u1ebft h\u01b0\u1edbng d\u1eabn c\u1ea5u tr\u00fac CV chu\u1ea9n, c\u00f4ng c\u1ee5 n\u00ean \u0111\u01b0a v\u00e0o v\u00e0 c\u00e1ch vi\u1ebft ph\u1ea7n kinh nghi\u1ec7m theo m\u00f4 h\u00ecnh STAR.<\/p>\n\n

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T\u1ed5ng quan nhanh<\/strong><\/p>\n

\u2013 CV c\u1ea7n th\u1ec3 hi\u1ec7n r\u00f5 nh\u00e1nh DA \u0111ang theo: BI Analyst, Marketing Analyst hay Operations Analyst \u0111\u1ec3 Career Objective kh\u00f4ng b\u1ecb “chung chung”.<\/p>\n

\u2013 C\u1ea5u tr\u00fac 6 ph\u1ea7n: th\u00f4ng tin \u2013 Career Objective \u2013 Skills \u2013 Tools \u2013 Work Experience (STAR) \u2013 Education & Ch\u1ee9ng ch\u1ec9.<\/p>\n

\u2013 K\u1ef9 n\u0103ng b\u1eaft bu\u1ed9c: SQL (JOIN, window function, stored procedure), Python pandas\/numpy, th\u1ed1ng k\u00ea m\u00f4 t\u1ea3, A\/B testing v\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 tr\u1ef1c quan ho\u00e1 Power BI ho\u1eb7c Tableau.<\/p>\n<\/div>\n\n

1. Vai tr\u00f2 Data Analyst trong nh\u00f3m BI, Marketing v\u00e0 Operations<\/h2>\n\n

Tr\u01b0\u1edbc khi vi\u1ebft CV, \u1ee9ng vi\u00ean c\u1ea7n ph\u00e2n bi\u1ec7t Data Analyst (DA) v\u1edbi c\u00e1c vai tr\u00f2 l\u00e2n c\u1eadn \u0111\u1ec3 ch\u1ecdn \u0111\u00fang JD v\u00e0 gi\u1eef th\u00f4ng \u0111i\u1ec7p nh\u1ea5t qu\u00e1n. DA kh\u00e1c v\u1edbi Data Scientist \u1edf ch\u1ed7 t\u1eadp trung m\u00f4 t\u1ea3 \u2013 ch\u1ea9n \u0111o\u00e1n d\u1eef li\u1ec7u hi\u1ec7n t\u1ea1i, \u00edt l\u00e0m m\u00f4 h\u00ecnh machine learning ph\u1ee9c t\u1ea1p. DA c\u0169ng kh\u00e1c Data Engineer \u1edf ch\u1ed7 kh\u00f4ng x\u00e2y h\u1ea1 t\u1ea7ng pipeline m\u00e0 khai th\u00e1c d\u1eef li\u1ec7u \u0111\u00e3 c\u00f3 \u0111\u1ec3 tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi nghi\u1ec7p v\u1ee5. Hi\u1ec3u \u0111\u00fang vai tr\u00f2 gi\u00fap Career Objective b\u00e1m s\u00e1t nhu c\u1ea7u tuy\u1ec3n d\u1ee5ng.<\/p>\n\n

\u2013 T\u1ea1i b\u1ed9 ph\u1eadn BI: DA ph\u1ee5 tr\u00e1ch kho d\u1eef li\u1ec7u, build dashboard \u0111i\u1ec1u h\u00e0nh cho ban gi\u00e1m \u0111\u1ed1c, theo d\u00f5i KPI doanh thu, bi\u00ean l\u1ee3i nhu\u1eadn v\u00e0 cohort kh\u00e1ch h\u00e0ng.<\/p>\n\n

\u2013 T\u1ea1i b\u1ed9 ph\u1eadn Marketing: DA t\u1eadp trung ph\u00e2n t\u00edch k\u00eanh qu\u1ea3ng c\u00e1o, t\u00ednh CAC, LTV, ROAS, ch\u1ea1y A\/B test tr\u00ean landing page v\u00e0 email campaign.<\/p>\n\n

\u2013 T\u1ea1i b\u1ed9 ph\u1eadn Operations ho\u1eb7c Product: DA theo d\u00f5i funnel chuy\u1ec3n \u0111\u1ed5i, churn rate, t\u1ed3n kho v\u00e0 n\u0103ng su\u1ea5t chi nh\u00e1nh, l\u00e0m vi\u1ec7c g\u1ea7n v\u1edbi Product Manager v\u00e0 Supply Chain.<\/p>\n\n

Khi \u0111\u00e3 x\u00e1c \u0111\u1ecbnh nh\u00e1nh mu\u1ed1n \u1ee9ng tuy\u1ec3n, \u1ee9ng vi\u00ean d\u1ec5 ch\u1ecdn d\u1ef1 \u00e1n ti\u00eau bi\u1ec3u \u0111\u1ec3 \u0111\u01b0a l\u00ean CV thay v\u00ec g\u1ed9p t\u1ea5t c\u1ea3 s\u1ed1 li\u1ec7u v\u00e0o m\u1ed9t danh s\u00e1ch d\u00e0i.<\/p>\n\n

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\"CV<\/figure>\n<\/div>\n\n

2. C\u1ea5u tr\u00fac CV chu\u1ea9n cho Data Analyst<\/h2>\n\n

M\u1ed9t CV Data Analyst th\u01b0\u1eddng d\u00e0i 1\u20132 trang, chia th\u00e0nh 6 ph\u1ea7n theo th\u1ee9 t\u1ef1 Recruiter v\u00e0 Hiring Manager quen \u0111\u1ecdc. Th\u1ee9 t\u1ef1 n\u00e0y gi\u00fap ng\u01b0\u1eddi s\u00e0ng l\u1ecdc ra quy\u1ebft \u0111\u1ecbnh “\u0111\u1ecdc ti\u1ebfp hay lo\u1ea1i” trong kho\u1ea3ng 20 gi\u00e2y \u0111\u1ea7u, \u0111\u1ed3ng th\u1eddi thu\u1eadn l\u1ee3i cho h\u1ec7 th\u1ed1ng ATS (Applicant Tracking System) khi qu\u00e9t keyword nh\u01b0 SQL, Python, Power BI, Tableau.<\/p>\n\n\n\n\n
Ph\u1ea7n<\/th>N\u1ed9i dung ch\u00ednh<\/th><\/tr>\n<\/thead>\n
1. Th\u00f4ng tin c\u00e1 nh\u00e2n<\/strong><\/td>H\u1ecd t\u00ean, email chuy\u00ean nghi\u1ec7p, s\u1ed1 \u0111i\u1ec7n tho\u1ea1i, link GitHub\/Kaggle, link portfolio dashboard, LinkedIn.<\/td><\/tr>\n
2. Career Objective<\/strong><\/td>2\u20133 c\u00e2u \u0111\u1ecbnh v\u1ecb: nh\u00e1nh DA (BI\/Marketing\/Ops) + c\u00f4ng c\u1ee5 chuy\u00ean s\u00e2u + k\u1ebft qu\u1ea3 m\u1ee5c ti\u00eau.<\/td><\/tr>\n
3. Skills<\/strong><\/td>SQL, Python\/R, th\u1ed1ng k\u00ea, A\/B testing, k\u1ef9 n\u0103ng business storytelling.<\/td><\/tr>\n
4. Tools<\/strong><\/td>Power BI, Tableau, Looker Studio, BigQuery, Snowflake, Jupyter Notebook, Excel n\u00e2ng cao.<\/td><\/tr>\n
5. Work Experience<\/strong><\/td>3\u20135 d\u1ef1 \u00e1n g\u1ea7n nh\u1ea5t, vi\u1ebft theo STAR v\u1edbi metrics doanh thu, conversion, cost saving.<\/td><\/tr>\n
6. Education & Ch\u1ee9ng ch\u1ec9<\/strong><\/td>To\u00e1n \u2013 Kinh t\u1ebf l\u01b0\u1ee3ng, CNTT, Th\u1ed1ng k\u00ea; Google Data Analytics, Microsoft DP-203, IBM Data Analyst.<\/td><\/tr>\n<\/tbody>\n<\/table>\n\n

CV n\u00ean l\u01b0u d\u1ea1ng PDF, font Inter ho\u1eb7c Calibri 11, l\u1ec1 c\u00e2n \u0111\u1ed1i, d\u00f9ng \u0111\u1eadm cho job title v\u00e0 t\u00ean c\u00f4ng ty thay v\u00ec in nghi\u00eang. \u1ee8ng vi\u00ean 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> \u0111\u1ec3 \u0111\u1ed1i chi\u1ebfu y\u00eau c\u1ea7u th\u1ef1c t\u1ebf c\u1ee7a nh\u00e0 tuy\u1ec3n d\u1ee5ng tr\u01b0\u1edbc khi \u0111\u1eb7t b\u00fat vi\u1ebft Career Objective.<\/p>\n\n

3. Vi\u1ebft Career Objective \u0111\u00fang tr\u1ecdng t\u00e2m cho Data Analyst<\/h2>\n\n

Career Objective kh\u00f4ng n\u00ean l\u00e0 c\u00e2u kh\u1ea9u hi\u1ec7u chung chung ki\u1ec3u “mu\u1ed1n ph\u00e1t tri\u1ec3n trong m\u00f4i tr\u01b0\u1eddng n\u0103ng \u0111\u1ed9ng”. Nh\u00e0 tuy\u1ec3n d\u1ee5ng c\u1ea7n th\u1ea5y 3 y\u1ebfu t\u1ed1: nh\u00e1nh DA \u1ee9ng tuy\u1ec3n, c\u00f4ng c\u1ee5 chuy\u00ean s\u00e2u, v\u00e0 k\u1ebft qu\u1ea3 g\u1eafn v\u1edbi con s\u1ed1 \u0111\u1ecbnh l\u01b0\u1ee3ng \u0111\u01b0\u1ee3c tr\u00ean d\u1ef1 \u00e1n.<\/p>\n\n

V\u00ed d\u1ee5: “Data Analyst 3 n\u0103m kinh nghi\u1ec7m BigQuery v\u00e0 Power BI, t\u1eebng x\u00e2y dashboard doanh thu cho chu\u1ed7i b\u00e1n l\u1ebb 120 c\u1eeda h\u00e0ng, gi\u1ea3m th\u1eddi gian b\u00e1o c\u00e1o cu\u1ed1i th\u00e1ng t\u1eeb 5 ng\u00e0y xu\u1ed1ng 6 gi\u1edd v\u00e0 ph\u00e1t hi\u1ec7n 2 nh\u00f3m SKU \u00e2m bi\u00ean l\u1ee3i nhu\u1eadn gi\u00fap ti\u1ebft ki\u1ec7m 8% chi ph\u00ed t\u1ed3n kho. Mong mu\u1ed1n tham gia \u0111\u1ed9i BI c\u00f3 m\u00f4 h\u00ecnh d\u1eef li\u1ec7u dimensional r\u00f5 r\u00e0ng \u0111\u1ec3 ph\u00e1t tri\u1ec3n th\u00eam n\u0103ng l\u1ef1c modeling v\u00e0 A\/B testing.”<\/p><\/blockquote>\n\n

C\u00e2u Objective tr\u00ean \u0111\u00e1p \u1ee9ng \u0111\u1ee7: \u0111\u1ecbnh v\u1ecb nh\u00e1nh DA, c\u00f4ng c\u1ee5 chuy\u00ean m\u00f4n, ch\u1ec9 s\u1ed1 nghi\u1ec7p v\u1ee5, t\u00e1c \u0111\u1ed9ng kinh doanh v\u00e0 k\u1ef3 v\u1ecdng ph\u00e1t tri\u1ec3n. \u0110\u00e2y l\u00e0 c\u00e1ch \u1ee9ng vi\u00ean 2\u20135 n\u0103m kinh nghi\u1ec7m n\u00ean \u01b0u ti\u00ean thay v\u00ec m\u00f4 t\u1ea3 m\u01a1 h\u1ed3 ch\u1ec9 t\u00ean tr\u01b0\u1eddng v\u00e0 s\u1edf th\u00edch c\u00e1 nh\u00e2n.<\/p>\n\n

4. Skills c\u1ea7n n\u00eau trong CV Data Analyst<\/h2>\n\n

Ph\u1ea7n Skills n\u00ean chia th\u00e0nh 3 nh\u00f3m r\u00f5 r\u00e0ng \u0111\u1ec3 Hiring Manager d\u1ec5 \u0111\u1ed1i chi\u1ebfu v\u1edbi JD. Vi\u1ec7c g\u1ed9p t\u1ea5t c\u1ea3 k\u1ef9 n\u0103ng v\u00e0o m\u1ed9t danh s\u00e1ch d\u00e0i s\u1ebd l\u00e0m lo\u00e3ng th\u00f4ng \u0111i\u1ec7p v\u00e0 kh\u00f3 tra c\u1ee9u khi s\u00e0ng l\u1ecdc nhanh tr\u00ean c\u1ea3 ATS l\u1eabn ng\u01b0\u1eddi \u0111\u1ecdc.<\/p>\n\n

\u2013 Truy v\u1ea5n v\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u: SQL (JOIN nhi\u1ec1u b\u1ea3ng, CTE, window function ROW_NUMBER\/RANK, stored procedure, view materialized), Python (pandas, numpy, matplotlib, seaborn), R c\u01a1 b\u1ea3n v\u1edbi dplyr v\u00e0 ggplot2.<\/p>\n\n

\u2013 Th\u1ed1ng k\u00ea v\u00e0 ki\u1ec3m \u0111\u1ecbnh: th\u1ed1ng k\u00ea m\u00f4 t\u1ea3, ph\u00e2n ph\u1ed1i chu\u1ea9n, h\u1ed3i quy tuy\u1ebfn t\u00ednh\/logistic, A\/B testing v\u1edbi t-test v\u00e0 chi-square, hi\u1ec3u kh\u00e1i ni\u1ec7m p-value, confidence interval v\u00e0 sample size.<\/p>\n\n

\u2013 Business analytics v\u00e0 storytelling: ph\u00e2n t\u00edch cohort, RFM segmentation, funnel conversion, t\u00ednh LTV\/CAC\/ROAS, vi\u1ebft executive summary 1 trang v\u00e0 tr\u00ecnh b\u00e0y k\u1ebft qu\u1ea3 cho stakeholder phi k\u1ef9 thu\u1eadt.<\/p>\n\n

Sau khi li\u1ec7t k\u00ea c\u00e1c nh\u00f3m tr\u00ean, \u1ee9ng vi\u00ean n\u00ean d\u00e0nh m\u1ed9t c\u00e2u ng\u1eafn n\u00eau k\u1ef9 n\u0103ng ph\u1ee5 tr\u1ee3 nh\u01b0 \u0111\u1ecdc spec ti\u1ebfng Anh, l\u00e0m vi\u1ec7c v\u1edbi Jira v\u00e0 Confluence, code review tr\u00ean GitHub Pull Request. Ph\u1ea7n n\u00e0y gi\u00fap CV c\u00f3 chi\u1ec1u r\u1ed9ng m\u00e0 v\u1eabn r\u00f5 tr\u1ecdng t\u00e2m v\u00e0 kh\u00f4ng sa v\u00e0o li\u1ec7t k\u00ea c\u00f4ng c\u1ee5 r\u1eddi r\u1ea1c.<\/p>\n\n

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L\u01b0u \u00fd khi li\u1ec7t k\u00ea k\u1ef9 n\u0103ng<\/strong><\/p>\n

\u2013 Kh\u00f4ng ghi “th\u00e0nh th\u1ea1o SQL” n\u1ebfu ch\u01b0a t\u1eebng vi\u1ebft c\u00e2u truy v\u1ea5n v\u1edbi window function ho\u1eb7c t\u1ed1i \u01b0u execution plan; Hiring Manager c\u00f3 th\u1ec3 y\u00eau c\u1ea7u live coding test tr\u00ean LeetCode SQL ho\u1eb7c StrataScratch.<\/p>\n

\u2013 Kh\u00f4ng li\u1ec7t k\u00ea machine learning library (scikit-learn, XGBoost) n\u1ebfu ch\u01b0a t\u1eebng tri\u1ec3n khai d\u1ef1 \u00e1n c\u00f3 d\u1eef li\u1ec7u th\u1eadt v\u00e0 \u0111\u00e1nh gi\u00e1 metric \u2014 Recruiter s\u1ebd ph\u00e2n bi\u1ec7t nhanh \u1ee9ng vi\u00ean DA v\u00e0 DS.<\/p>\n<\/div>\n\n

5. Tools v\u00e0 m\u00f4i tr\u01b0\u1eddng d\u1eef li\u1ec7u n\u00ean \u0111\u01b0a v\u00e0o CV<\/h2>\n\n

Ph\u1ea7n Tools l\u00e0 \u0111i\u1ec3m m\u00e0 nhi\u1ec1u \u1ee9ng vi\u00ean Data Analyst b\u1ecf s\u00f3t, trong khi \u0111\u00e2y l\u1ea1i l\u00e0 v\u00f9ng gi\u00fap CV v\u01b0\u1ee3t qua filter c\u1ee7a ATS v\u00e0 g\u00e2y thi\u1ec7n c\u1ea3m v\u1edbi BI Lead. Nh\u00f3m c\u00f4ng c\u1ee5 n\u00ean \u0111\u01b0a v\u00e0o CV g\u1ed3m b\u1ed1n c\u1ee5m sau, m\u1ed7i c\u1ee5m ch\u1ec9 ch\u1ecdn c\u00f4ng c\u1ee5 \u1ee9ng vi\u00ean \u0111\u00e3 th\u1eadt s\u1ef1 d\u00f9ng trong d\u1ef1 \u00e1n.<\/p>\n\n

\u2013 Tr\u1ef1c quan ho\u00e1 v\u00e0 dashboard: Power BI (DAX, Power Query, RLS), Tableau (LOD expression, parameter, dashboard action), Looker Studio cho b\u00e1o c\u00e1o marketing mi\u1ec5n ph\u00ed.<\/p>\n\n

\u2013 Kho d\u1eef li\u1ec7u v\u00e0 truy v\u1ea5n: BigQuery (partitioned table, scheduled query), Snowflake (warehouse sizing, time travel), Amazon Redshift, PostgreSQL ho\u1eb7c SQL Server cho c\u00f4ng ty truy\u1ec1n th\u1ed1ng.<\/p>\n\n

\u2013 Notebook v\u00e0 x\u1eed l\u00fd: Jupyter Notebook, Google Colab, VS Code v\u1edbi Python extension, Excel n\u00e2ng cao (Power Query, Power Pivot, c\u00f4ng th\u1ee9c INDEX-MATCH, XLOOKUP, m\u1ea3ng \u0111\u1ed9ng).<\/p>\n\n

\u2013 Qu\u1ea3n l\u00fd v\u00e0 ph\u1ed1i h\u1ee3p: Git\/GitHub cho version control dbt\/notebook, dbt Cloud n\u1ebfu c\u00f4ng ty c\u00f3 data stack hi\u1ec7n \u0111\u1ea1i, Airflow \u0111\u1ec3 hi\u1ec3u pipeline khi l\u00e0m vi\u1ec7c v\u1edbi Data Engineer, Jira v\u00e0 Confluence cho ticket nghi\u1ec7p v\u1ee5.<\/p>\n\n

Li\u1ec7t k\u00ea c\u00f4ng c\u1ee5 n\u00ean \u0111i k\u00e8m b\u1ed1i c\u1ea3nh ng\u1eafn, v\u00ed d\u1ee5 “d\u00f9ng dbt \u0111\u1ec3 chu\u1ea9n ho\u00e1 35 model marts cho m\u1ea3ng e-commerce” thay v\u00ec ch\u1ec9 ghi t\u00ean c\u00f4ng c\u1ee5 r\u1eddi r\u1ea1c. C\u00e1ch vi\u1ebft n\u00e0y th\u1ec3 hi\u1ec7n r\u00f5 quy tr\u00ecnh l\u00e0m vi\u1ec7c th\u1eadt c\u1ee7a \u1ee9ng vi\u00ean trong m\u00f4i tr\u01b0\u1eddng d\u1eef li\u1ec7u doanh nghi\u1ec7p.<\/p>\n\n

6. Work Experience vi\u1ebft theo STAR v\u1edbi metrics \u0111\u1ecbnh l\u01b0\u1ee3ng<\/h2>\n\n

Ph\u1ea7n Work Experience l\u00e0 v\u00f9ng quy\u1ebft \u0111\u1ecbnh \u1ee9ng vi\u00ean c\u00f3 \u0111\u01b0\u1ee3c m\u1eddi ph\u1ecfng v\u1ea5n hay kh\u00f4ng. M\u00f4 h\u00ecnh STAR (Situation \u2013 Task \u2013 Action \u2013 Result) gi\u00fap vi\u1ebft m\u1ed7i \u0111\u1ea7u vi\u1ec7c theo logic r\u00f5 r\u00e0ng v\u00e0 b\u00e1m s\u00e1t k\u1ebft qu\u1ea3 \u0111\u1ecbnh l\u01b0\u1ee3ng m\u00e0 c\u00e1c c\u00f4ng ty product, e-commerce v\u00e0 ng\u00e2n h\u00e0ng \u0111ang \u0111\u1eb7t ra cho vai tr\u00f2 DA.<\/p>\n\n

\u2013 Situation: b\u1ed1i c\u1ea3nh nghi\u1ec7p v\u1ee5, quy m\u00f4 d\u1eef li\u1ec7u (s\u1ed1 b\u1ea3n ghi, s\u1ed1 b\u1ea3ng, s\u1ed1 ngu\u1ed3n), \u0111\u1ed9i ng\u0169 ph\u1ed1i h\u1ee3p.<\/p>\n\n

\u2013 Task: ch\u1ec9 ti\u00eau ph\u00e2n t\u00edch \u0111\u01b0\u1ee3c giao \u2013 build dashboard, t\u00ecm nguy\u00ean nh\u00e2n churn, \u0111\u00e1nh gi\u00e1 A\/B test, d\u1ef1 b\u00e1o doanh thu.<\/p>\n\n

\u2013 Action: ho\u1ea1t \u0111\u1ed9ng c\u1ee5 th\u1ec3 nh\u01b0 vi\u1ebft stored procedure t\u1ed1i \u01b0u, thi\u1ebft k\u1ebf semantic model trong Power BI, ch\u1ea1y A\/B test v\u1edbi m\u1eabu 30 ng\u00e0y, \u00e1p d\u1ee5ng RFM segmentation.<\/p>\n\n

\u2013 Result: con s\u1ed1 \u0111\u1ecbnh l\u01b0\u1ee3ng \u2013 doanh thu t\u0103ng, chi ph\u00ed gi\u1ea3m, conversion uplift, th\u1eddi gian b\u00e1o c\u00e1o r\u00fat ng\u1eafn, s\u1ed1 stakeholder d\u00f9ng dashboard h\u1eb1ng tu\u1ea7n.<\/p>\n\n

V\u00ed d\u1ee5 m\u1ed9t entry chu\u1ea9n: “Ph\u1ee5 tr\u00e1ch dashboard v\u1eadn h\u00e0nh cho chu\u1ed7i 80 c\u1eeda h\u00e0ng F&B; thi\u1ebft k\u1ebf semantic model 14 b\u1ea3ng tr\u00ean Power BI, t\u1ef1 \u0111\u1ed9ng ho\u00e1 ETL b\u1eb1ng Power Query v\u00e0 stored procedure tr\u00ean SQL Server; r\u00fat ng\u1eafn th\u1eddi gian b\u00e1o c\u00e1o doanh thu h\u1eb1ng ng\u00e0y t\u1eeb 4 gi\u1edd xu\u1ed1ng 15 ph\u00fat; ph\u00e1t hi\u1ec7n 3 c\u1eeda h\u00e0ng \u00e2m bi\u00ean l\u1ee3i nhu\u1eadn trong 2 qu\u00fd li\u00ean ti\u1ebfp gi\u00fap ban \u0111i\u1ec1u h\u00e0nh ra quy\u1ebft \u0111\u1ecbnh \u0111\u00f3ng c\u1eeda, ti\u1ebft ki\u1ec7m 1,2 t\u1ef7 \u0111\u1ed3ng\/n\u0103m.” C\u00e1ch vi\u1ebft n\u00e0y \u0111\u00e1p \u1ee9ng c\u1ea3 y\u00eau c\u1ea7u n\u1ed9i dung l\u1eabn ti\u00eau ch\u00ed \u0111\u1ecbnh l\u01b0\u1ee3ng. \u1ee8ng vi\u00ean m\u1edbi ra tr\u01b0\u1eddng c\u00f3 th\u1ec3 tham kh\u1ea3o th\u00eam k\u1ef9 n\u0103ng vi\u1ebft CV cho ng\u01b0\u1eddi ch\u01b0a c\u00f3 kinh nghi\u1ec7m<\/a> \u0111\u1ec3 b\u00f9 l\u1ea1i ph\u1ea7n Work Experience c\u00f2n thi\u1ebfu metrics.<\/p>\n\n

7. Ch\u1ee9ng ch\u1ec9 chuy\u00ean m\u00f4n v\u00e0 Portfolio n\u00ean \u0111\u00ednh k\u00e8m<\/h2>\n\n

Ch\u1ee9ng ch\u1ec9 gi\u00fap CV v\u01b0\u1ee3t qua v\u00f2ng s\u00e0ng l\u1ecdc t\u1ef1 \u0111\u1ed9ng v\u00e0 thuy\u1ebft ph\u1ee5c Recruiter ch\u01b0a r\u00e0nh c\u00f4ng ngh\u1ec7. B\u1ed1n nh\u00f3m ch\u1ee9ng ch\u1ec9 \u0111\u01b0\u1ee3c nh\u00e0 tuy\u1ec3n d\u1ee5ng Data Analyst t\u1ea1i Vi\u1ec7t Nam ghi nh\u1eadn th\u01b0\u1eddng xuy\u00ean g\u1ed3m:<\/p>\n\n

\u2013 Google Data Analytics Professional Certificate tr\u00ean Coursera: ch\u01b0\u01a1ng tr\u00ecnh 8 kh\u00f3a c\u1ee7a Google, bao qu\u00e1t SQL, R, Tableau, c\u00f3 capstone project c\u00f3 th\u1ec3 d\u00f9ng l\u00e0m portfolio.<\/p>\n\n

\u2013 Microsoft Certified: Azure Data Engineer Associate (DP-203): ph\u00f9 h\u1ee3p DA mu\u1ed1n m\u1edf r\u1ed9ng sang data pipeline, hi\u1ec3u Azure Synapse, Data Factory v\u00e0 Databricks.<\/p>\n\n

\u2013 IBM Data Analyst Professional Certificate tr\u00ean Coursera: 9 kh\u00f3a, nh\u1ea5n m\u1ea1nh Excel, SQL, Python pandas v\u00e0 IBM Cognos.<\/p>\n\n

\u2013 Kh\u00f3a chuy\u00ean s\u00e2u Tableau Desktop Specialist v\u00e0 Microsoft PL-300 (Power BI Data Analyst Associate) \u0111\u1ec3 kh\u1eb3ng \u0111\u1ecbnh n\u0103ng l\u1ef1c dashboard.<\/p>\n\n

B\u00ean c\u1ea1nh ch\u1ee9ng ch\u1ec9, portfolio th\u1eadt l\u00e0 y\u1ebfu t\u1ed1 kh\u00f4ng th\u1ec3 thay th\u1ebf trong vai tr\u00f2 Data Analyst. M\u1ed9t link portfolio n\u00ean c\u00f3 \u00edt nh\u1ea5t 5 dashboard demo: dashboard doanh thu b\u00e1n l\u1ebb, dashboard hi\u1ec7u qu\u1ea3 marketing \u0111a k\u00eanh, dashboard cohort retention SaaS, dashboard t\u00e0i ch\u00ednh P&L theo th\u00e1ng, dashboard v\u1eadn h\u00e0nh chu\u1ed7i cung \u1ee9ng. M\u00e3 ngu\u1ed3n SQL v\u00e0 notebook n\u00ean \u0111\u1eb7t tr\u00ean GitHub, k\u00e8m dataset tr\u00ean Kaggle ho\u1eb7c Google Cloud Public Datasets \u0111\u1ec3 Hiring Manager d\u1ec5 ch\u1ea1y l\u1ea1i. Ch\u1ee9ng ch\u1ec9 ti\u1ebfng Anh TOEIC t\u1eeb 600 ho\u1eb7c IELTS t\u1eeb 5.5 tr\u1edf l\u00ean g\u1ea7n nh\u01b0 l\u00e0 \u0111i\u1ec1u ki\u1ec7n c\u1ea7n khi \u1ee9ng tuy\u1ec3n v\u00e0o ng\u00e2n h\u00e0ng s\u1ed1, fintech ho\u1eb7c c\u00f4ng ty product c\u00f3 kh\u00e1ch h\u00e0ng n\u01b0\u1edbc ngo\u00e0i.<\/p>\n\n

\n

G\u1ee3i \u00fd tr\u01b0\u1edbc khi \u0111\u1ed1i chi\u1ebfu th\u1ecb tr\u01b0\u1eddng<\/strong><\/p>\n

\u2013 \u0110\u1eb7t t\u00ean file CV theo c\u1ea5u tr\u00fac “CV_HoTen_DataAnalyst_2026.pdf” \u0111\u1ec3 Recruiter d\u1ec5 tra c\u1ee9u trong inbox.<\/p>\n

\u2013 Pin 3 repo n\u1ed5i b\u1eadt tr\u00ean GitHub c\u00f3 notebook ch\u1ea1y \u0111\u01b0\u1ee3c, README m\u00f4 t\u1ea3 ngu\u1ed3n d\u1eef li\u1ec7u, c\u00e2u h\u1ecfi nghi\u1ec7p v\u1ee5 v\u00e0 k\u1ebft lu\u1eadn ch\u00ednh.<\/p>\n

\u2013 C\u1eadp nh\u1eadt Career Objective ri\u00eang cho t\u1eebng v\u1ecb tr\u00ed, kh\u00f4ng g\u1eedi m\u1ed9t b\u1ea3n CV cho t\u1ea5t c\u1ea3 c\u00f4ng ty trong c\u00e1c nh\u00e1nh BI \u2013 Marketing \u2013 Operations.<\/p>\n<\/div>\n\n

\n
\"Data<\/figure>\n<\/div>\n\n

8. Th\u1ecb tr\u01b0\u1eddng ngh\u1ec1 Data Analyst tr\u00ean CareerLink<\/h2>\n\n

D\u1eef li\u1ec7u kh\u1ea3o s\u00e1t t\u1eeb CareerLink ng\u00e0y 27\/05\/2026 cho th\u1ea5y nh\u00f3m ngh\u1ec1 CNTT Ph\u1ea7n m\u1ec1m \u2013 n\u01a1i ch\u1ee9a ph\u1ea7n l\u1edbn tin tuy\u1ec3n Data Analyst \u2013 \u0111ang c\u00f3 quy m\u00f4 tuy\u1ec3n d\u1ee5ng \u0111\u00e1ng k\u1ec3, m\u1ee9c l\u01b0\u01a1ng tham chi\u1ebfu n\u1eb1m \u1edf kho\u1ea3ng trung \u2013 cao so v\u1edbi m\u1eb7t b\u1eb1ng v\u0103n ph\u00f2ng. \u0110\u00e2y l\u00e0 t\u00edn hi\u1ec7u t\u00edch c\u1ef1c cho \u1ee9ng vi\u00ean \u0111ang chu\u1ea9n b\u1ecb CV Data Analyst \u0111\u1ec3 chuy\u1ec3n vi\u1ec7c trong qu\u00fd 2\/2026.<\/p>\n\n\n\n\n
Ch\u1ec9 s\u1ed1<\/th>D\u1eef li\u1ec7u tham kh\u1ea3o<\/th><\/tr>\n<\/thead>\n
S\u1ed1 tin \u0111ang tuy\u1ec3n nh\u00f3m CNTT Ph\u1ea7n m\u1ec1m<\/strong><\/td>402 tin (th\u1eddi \u0111i\u1ec3m kh\u1ea3o s\u00e1t 27\/05\/2026)<\/td><\/tr>\n
Kho\u1ea3ng l\u01b0\u01a1ng tham chi\u1ebfu<\/strong><\/td>Trung b\u00ecnh:<\/strong> 13,6 \u2013 23,5 tri\u1ec7u\/th\u00e1ng (ch\u01b0a g\u1ed3m th\u01b0\u1edfng d\u1ef1 \u00e1n v\u00e0 ph\u1ee5 c\u1ea5p)<\/td><\/tr>\n
V\u1ecb tr\u00ed ph\u1ed5 bi\u1ebfn g\u1ea7n Data Analyst<\/strong><\/td>Business Analyst, Chuy\u00ean vi\u00ean x\u1eed l\u00fd d\u1eef li\u1ec7u CS Data,
Chuy\u00ean vi\u00ean \u1ee9ng d\u1ee5ng AI \u2013 AI Data & Automation, Nh\u00e2n vi\u00ean ph\u00e2n lo\u1ea1i d\u1eef li\u1ec7u AI<\/td><\/tr>\n
\u0110\u1ecba b\u00e0n tuy\u1ec3n nhi\u1ec1u<\/strong><\/td>H\u00e0 N\u1ed9i, H\u1ed3 Ch\u00ed Minh, B\u00ecnh D\u01b0\u01a1ng, \u0110\u00e0 N\u1eb5ng, B\u1eafc Ninh, \u0110\u1ed3ng Nai, B\u00e0 R\u1ecba \u2013 V\u0169ng T\u00e0u<\/td><\/tr>\n
Doanh nghi\u1ec7p \u0111ang tuy\u1ec3n n\u1ed5i b\u1eadt<\/strong><\/td>OMI Group, SAPO Technology, Concentrix Vietnam,
OPPO Vi\u1ec7t Nam, 2ID, B\u00e1ch Khoa Group, Sharp Manufacturing Vi\u1ec7t Nam<\/td><\/tr>\n<\/tbody>\n<\/table>\n\n

Nh\u00ecn v\u00e0o \u0111\u1ecba b\u00e0n, H\u00e0 N\u1ed9i v\u00e0 TP HCM v\u1eabn l\u00e0 hai c\u1ee5m tuy\u1ec3n Data Analyst l\u1edbn nh\u1ea5t, trong khi B\u00ecnh D\u01b0\u01a1ng v\u00e0 \u0110\u00e0 N\u1eb5ng n\u1ed5i l\u00ean nh\u01b0 \u0111i\u1ec3m \u0111\u1ebfn t\u1ed1t cho \u1ee9ng vi\u00ean mu\u1ed1n c\u00e2n b\u1eb1ng chi ph\u00ed sinh ho\u1ea1t v\u00e0 m\u00f4i tr\u01b0\u1eddng d\u1eef li\u1ec7u doanh nghi\u1ec7p. \u1ee8ng vi\u00ean c\u00f3 th\u1ec3 \u0111\u1ed1i chi\u1ebfu th\u00eam l\u1eadp tr\u00ecnh vi\u00ean l\u00e0 g\u00ec v\u00e0 kh\u00e1c g\u00ec so v\u1edbi developer<\/a> \u0111\u1ec3 \u0111\u1ecbnh v\u1ecb r\u00f5 ranh gi\u1edbi gi\u1eefa Data Analyst v\u1edbi c\u00e1c vai tr\u00f2 engineer trong h\u1ec7 sinh th\u00e1i d\u1eef li\u1ec7u tr\u01b0\u1edbc khi n\u1ed9p CV.<\/p>\n\n

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

1. Sinh vi\u00ean m\u1edbi ra tr\u01b0\u1eddng ch\u01b0a c\u00f3 d\u1ef1 \u00e1n th\u1eadt th\u00ec vi\u1ebft ph\u1ea7n Work Experience cho CV Data Analyst th\u1ebf n\u00e0o?<\/em><\/strong><\/p>\n\n

\u1ee8ng vi\u00ean c\u00f3 th\u1ec3 thay d\u1ef1 \u00e1n th\u1eadt b\u1eb1ng \u0111\u1ed3 \u00e1n m\u00f4n h\u1ecdc, b\u00e0i t\u1eadp capstone c\u1ee7a kh\u00f3a Google Data Analytics, v\u00e0 project c\u00e1 nh\u00e2n tr\u00ean Kaggle. N\u00ean ch\u1ecdn 2\u20133 project c\u00f3 dataset r\u00f5 ngu\u1ed3n, c\u00e2u h\u1ecfi nghi\u1ec7p v\u1ee5 c\u1ee5 th\u1ec3, k\u00e8m dashboard ho\u1eb7c notebook ch\u1ea1y \u0111\u01b0\u1ee3c. Tham gia kaggle competition ho\u1eb7c \u0111\u00f3ng g\u00f3p dataset community c\u0169ng l\u00e0 c\u00e1ch b\u00f9 ph\u1ea7n kinh nghi\u1ec7m c\u00f2n thi\u1ebfu.<\/p>\n\n

2. N\u00ean \u01b0u ti\u00ean Power BI, Tableau hay Looker Studio khi m\u1edbi b\u1eaft \u0111\u1ea7u v\u00e0 vi\u1ebft v\u00e0o CV?<\/em><\/strong><\/p>\n\n

Power BI hi\u1ec7n c\u00f3 t\u1ef7 tr\u1ecdng tin tuy\u1ec3n d\u1ee5ng l\u1edbn nh\u1ea5t \u1edf c\u00e1c doanh nghi\u1ec7p Vi\u1ec7t Nam do g\u1eafn v\u1edbi h\u1ec7 sinh th\u00e1i Microsoft 365. Tableau ph\u1ed5 bi\u1ebfn \u1edf c\u00f4ng ty \u0111a qu\u1ed1c gia, ng\u00e2n h\u00e0ng v\u00e0 fintech. Looker Studio mi\u1ec5n ph\u00ed, ph\u00f9 h\u1ee3p \u1ee9ng vi\u00ean Marketing Analyst d\u00f9ng Google Ads v\u00e0 GA4. Ch\u1ecdn 1 c\u00f4ng c\u1ee5 chuy\u00ean s\u00e2u r\u1ed3i m\u1edbi m\u1edf r\u1ed9ng s\u1ebd t\u1ed1t h\u01a1n nh\u1ed3i c\u1ea3 ba v\u00e0o CV m\u00e0 kh\u00f4ng c\u00f3 dashboard demo.<\/p>\n\n

3. CV Data Analyst c\u00f3 c\u1ea7n b\u1eb1ng \u0111\u1ea1i h\u1ecdc \u0111\u00fang chuy\u00ean ng\u00e0nh To\u00e1n \u2013 Th\u1ed1ng k\u00ea \u2013 CNTT hay kh\u00f4ng?<\/em><\/strong><\/p>\n\n

Trong CV ch\u1ec9 c\u1ea7n ghi t\u00ean tr\u01b0\u1eddng, chuy\u00ean ng\u00e0nh v\u00e0 n\u0103m t\u1ed1t nghi\u1ec7p. \u1ee8ng vi\u00ean tr\u00e1i ng\u00e0nh (Kinh t\u1ebf, T\u00e0i ch\u00ednh, Marketing) v\u1eabn \u0111\u01b0\u1ee3c nh\u1eadn n\u1ebfu c\u00f3 ch\u1ee9ng ch\u1ec9 Google Data Analytics ho\u1eb7c IBM Data Analyst, k\u00e8m portfolio 3\u20135 dashboard th\u1eadt. Trong tr\u01b0\u1eddng h\u1ee3p \u0111\u00f3, n\u00ean \u0111\u1eb7t ph\u1ea7n ch\u1ee9ng ch\u1ec9 v\u00e0 portfolio ngay tr\u00ean Education \u0111\u1ec3 Recruiter th\u1ea5y n\u0103ng l\u1ef1c th\u1ef1c h\u00e0nh tr\u01b0\u1edbc khi x\u00e9t b\u1eb1ng c\u1ea5p.<\/p>\n\n

T\u00f3m l\u1ea1i, m\u1ed9t CV Data Analyst<\/strong> thuy\u1ebft ph\u1ee5c c\u1ea7n \u0111\u1ecbnh v\u1ecb \u0111\u00fang nh\u00e1nh DA (BI \u2013 Marketing \u2013 Operations), c\u00f3 Career Objective g\u1eafn v\u1edbi c\u00f4ng c\u1ee5 chuy\u00ean s\u00e2u v\u00e0 ch\u1ec9 s\u1ed1 nghi\u1ec7p v\u1ee5, ph\u1ea7n Skills chia theo ba nh\u00f3m truy v\u1ea5n \u2013 th\u1ed1ng k\u00ea \u2013 business storytelling, Tools li\u1ec7t k\u00ea \u0111\u1ee7 Power BI\/Tableau \u2013 BigQuery\/Snowflake \u2013 Jupyter \u2013 Excel n\u00e2ng cao, Work Experience vi\u1ebft theo STAR v\u1edbi metrics doanh thu v\u00e0 cost saving, \u0111i k\u00e8m ch\u1ee9ng ch\u1ec9 Google Data Analytics ho\u1eb7c Microsoft DP-203 v\u00e0 portfolio 5 dashboard th\u1eadt tr\u00ean GitHub. Khi g\u00f3i g\u1ecdn c\u00e1c y\u1ebfu t\u1ed1 n\u00e0y trong 1\u20132 trang, c\u01a1 h\u1ed9i l\u1ecdt v\u00e0o v\u00f2ng ph\u1ecfng v\u1ea5n t\u1ea1i c\u00e1c c\u00f4ng ty product, ng\u00e2n h\u00e0ng s\u1ed1 v\u00e0 e-commerce t\u1ea1i H\u00e0 N\u1ed9i, TP HCM v\u00e0 \u0110\u00e0 N\u1eb5ng s\u1ebd r\u00f5 r\u00e0ng h\u01a1n.<\/p>\n\n

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

N\u1ed9i dung trong b\u00e0i mang t\u00ednh tham kh\u1ea3o. Th\u00f4ng tin l\u01b0\u01a1ng v\u00e0 s\u1ed1 li\u1ec7u tuy\u1ec3n d\u1ee5ng c\u00f3 th\u1ec3 thay \u0111\u1ed5i theo th\u1eddi \u0111i\u1ec3m v\u00e0 doanh nghi\u1ec7p c\u1ee5 th\u1ec3.<\/em><\/p>","protected":false},"excerpt":{"rendered":"

H\u01b0\u1edbng d\u1eabn vi\u1ebft CV Data Analyst: c\u1ea5u tr\u00fac 6 ph\u1ea7n, k\u1ef9 n\u0103ng SQL\/Python\/Power BI, portfolio dashboard v\u00e0 ch\u1ee9ng ch\u1ec9 Google Data Analytics.<\/p>\n","protected":false},"author":58,"featured_media":22068,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"class_list":["post-22022","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-viet-cv-resume"],"_links":{"self":[{"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/posts\/22022","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/comments?post=22022"}],"version-history":[{"count":5,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/posts\/22022\/revisions"}],"predecessor-version":[{"id":22093,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/posts\/22022\/revisions\/22093"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/media\/22068"}],"wp:attachment":[{"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/media?parent=22022"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/categories?post=22022"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mb668s.com\/cam-nang-7mb66-xoc-dia\/wp-json\/wp\/v2\/tags?post=22022"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}