Bi developer Resume: Free Example (2026)

Start with a clear one-line headline, your name, and contact information that includes LinkedIn or GitHub if they show project work.
Follow with a two to three sentence professional summary that highlights your BI focus and strongest tools.

Keep the top of the resume clean so a hiring manager can scan your value in seconds.

Write a concise professional summary that ties your BI experience to measurable outcomes, such as reporting cadence or decision support.
Use two to three sentences that combine your title, years of experience, core platforms, and a clear achievement.

For example, "BI Developer with five years building dashboards in Power BI and reducing reporting time by 40 percent through automated ETL".

Organize experience in reverse chronological order and start each role with title, employer, location, and dates.
For each position use three to six bullet-style accomplishment statements that focus on outcomes, not tasks.

Lead with the result, add the action, and close with the methods or tools used, for example "Reduced monthly close time by 30 percent by redesigning ETL pipelines using SQL Server Integration Services and scheduled jobs".

Group skills into categories such as Data Modeling, ETL, Visualization, and Databases so hiring managers find relevant tools quickly.
Include technical platforms you use daily, for example Power BI, Tableau, Looker, SSIS, SQL Server, Snowflake, Python, or dbt, and highlight proficiency levels when helpful.

Avoid long dense lists and keep each category to three to six items for scannability.

List your degree, institution, and graduation year, then add certifications that matter for BI work such as Microsoft Certified, Tableau Desktop, or Snowflake certifications.
Put certifications in a short separate line or subsection so they stand out for recruiters who scan for them.

For recent graduates, place education above experience and emphasize relevant projects or coursework.

Use a simple, readable font and standard section headings so applicant tracking systems parse your resume reliably.
Save and submit your resume as a PDF unless the job posting explicitly requests a Word document, and avoid images or unusual characters that confuse parsers.

Keep margins and line spacing consistent and aim for one page if you have under ten years of experience, otherwise use two pages with the most relevant content first.

Use action-oriented openings like "built," "streamlined," or "designed" followed by the measurable impact and tools used.
Show context by including the size of datasets, frequency of reports, or stakeholder groups, for example "Built weekly sales dashboard for 200+ store managers using Power BI and incremental refresh to handle 50 million rows.

".
Avoid vague statements such as "worked on dashboards" and instead show the who, what, and measurable result.

Read the job posting and mirror the exact skills and terminology used, placing the highest match near the top of your resume.
Replace generic bullets with ones that reflect the job’s priorities, for example emphasize dashboarding for analyst roles and data pipeline work for engineering-focused BI roles.

Keep a master resume with all accomplishments and create a tailored version for each application to increase relevance.

Create a one page draft following this structure and then remove or shorten anything that does not directly match the job you want.
Have a peer or mentor read for clarity and scan time, and run your resume through an ATS previewer or a keyword highlighter to see which phrases are detected.

Apply the changes, save a clean PDF, and use a targeted cover note that calls out two achievements relevant to the role.