Organize metrics, analysis methods, data definitions, and decision impact around a real business question. All people, employers, URLs, and figures shown here are fictional.
Alex Chen
Data Analyst
alex.chen@example.com+1 415 555 0138San Francisco, CA
Profile
Data analyst supporting retail operations with SQL, Python and reporting dashboards. Defines metrics, validates source data and explains findings with their limitations before recommending action.
Experience
Data Analyst · Harbor Retail
2022-04 — Present — San Francisco, CA
Reconciled order and refund tables before publishing a weekly net-sales dashboard; documented exclusions and the reporting time zone.
Compared repeat-purchase behavior by acquisition cohort and shared segment-level uncertainty with the lifecycle marketing team.
Built automated checks for duplicate order IDs and late-arriving refunds, with an exception list for manual review.
Projects
Retail metric dictionary
An illustrative data dictionary that defines net sales, repeat purchase and refund timing, with example SQL and validation cases.
A stronger bullet, with an explanation
These lines are illustrative. Replace them with your own work and facts.
Before
Created dashboards that increased revenue.
After
Built a net-sales dashboard after reconciling order and refund data, giving operations a consistent weekly reporting definition.
The revised bullet explains the data problem, your method and who used the output. Reporting and correlation do not establish that you caused revenue growth. Describe an experiment separately if it supports a causal claim, including its design and limitations.
Adapt this example to your experience level
If you are early in your career, lead with a relevant project, placement or volunteer assignment and state its context. If you have several years of experience, put the most relevant role first and explain your scope, decisions and results. Senior applicants should distinguish their own decisions from team delivery rather than adding bigger numbers to the same sample.
Check the version you will submit
Replace the fictional contact details, employers, education and dates. Keep only skills you can demonstrate. Open the exported PDF, copy its text to check reading order and verify that each section remains readable. A clear format helps a reader understand your experience; it does not guarantee an interview or an ATS score.
Continue with a related guide
Use these examples and checks for the next step in your application.