Alex Morgan
BI Analyst
- alex.morgan@example.com
- +1 555 0100
- Denver, CO
Summary
Experience
Education
Skills
- SQL
- Power BI
- DAX
- Tableau
- Excel Power Query
- dimensional modeling
- data warehousing
- ETL validation
- KPI development
- requirements gathering
Data Science & AI · Mid-Level (3+ yrs)
This sample shows how a BI analyst can turn sales and operations data into dependable dashboards, clear metric definitions, and recurring reports. A strong resume connects SQL and visualization work to decisions or time saved, while making data quality and stakeholder scope easy to verify.
What recruiters and tracking systems look for. A guide, not a prediction.
100 / 100Complete
Put these at the top; recruiters and tracking systems look for them first.
Optional. In the US, UK and Canada resumes usually have no photo.
One job per paragraph; start each achievement on a new line with “-”.
Separate skills with commas, for example: Excel, SQL, project planning.
Projects, certifications, languages or anything else that supports your application.
Alex Morgan
BI Analyst
Paste the text of a resume or profile. The builder fills in the contact details, summary, experience, education and skills it recognises; check the result.
Put the BI title, SQL, and primary visualization tool near the top, then lead with dashboards or data models tied to business decisions. Name the audience and cadence, such as a weekly inventory review, so the scope is clear. Include warehouse or database platforms only when you used them hands-on, and distinguish building datasets from simply consuming reports.
Pair each major deliverable with a modest, verifiable result: hours saved in report preparation, fewer reconciliation errors, faster refreshes, or teams using the dashboard. State the baseline and period when you can. If you cannot quantify a business outcome, describe what decision the report supported and how often stakeholders used it instead of adding a made-up percentage.
Name the database, BI platform, and modeling or transformation tools you actually used, then show what you did with them in the experience bullets. For a portfolio, link to sanitized dashboards, screenshots, or a short case study that explains the question, data preparation, and metric choices. Remove confidential data, employer names, and credentials from any public example.
BI analyst jobs do not generally require one universal license. Put a current, relevant certification in a concise credentials section and use its official name; include the issuer and earned date if useful. Leave expired or unrelated certificates off, and do not present a course completion badge as an industry certification. Make SQL and dashboard experience visible even if you have no certification.
Skills and tools often listed for this role. Use only the ones you have, in the job advert's wording. Click one to copy it.
For about five years of experience, one or two pages can work. Keep the most relevant dashboards, data modeling, SQL work, and measurable reporting improvements, and trim older or unrelated duties. Use a second page when it adds substantial project detail or technical scope; avoid shrinking the type to fit every task.
There is no single U.S. license required to work as a BI analyst. Some employers value platform certifications, such as a current Microsoft Power BI credential, while others prioritize SQL, modeling, and business reporting experience. Check each posting, list the exact certification name and issuer, and do not imply a course certificate is a professional certification.
Use relevant work from finance, operations, sales, or IT to show how you queried, cleaned, reconciled, or reported data. Add a small portfolio project if you lack workplace dashboard examples; explain the business question, data source, model, and findings. Be clear about which tools you used and avoid claiming production experience for a practice project.
Include one when it shows work that is relevant and safe to share. A short case study or sanitized dashboard can demonstrate metric design, data preparation, and visual choices. Never publish employer data or confidential screenshots. If your work cannot be shared, describe the problem, your contribution, tools, audience, and outcome in the resume instead.