Data analyst resume example, tailored to a job posting

This example shows what the generator is told to do and what it checks, as described in the resume guide. A real draft is written by an AI model from your own profile, so its wording will differ from this one, and from one run to the next. When the model is unavailable you get a profile-based resume instead, which the guide also describes.

Below is the text of the ATS resume (.docx). The human-readable PDF has the same content in the template you pick. Neither this example nor any draft predicts how an employer's hiring software will rank a resume.

This is what Morgan's profile holds after uploading a resume and reviewing the result.

Morgan picks this job from the shortlist and generates a resume and cover letter for it.

The tailored resume uses the same section headings and order as the .docx BespokeJobs produces.

• The order of jobs does not change. The retail job is current, so it stays first. Tailoring cannot move the internship above it, but it can lead the retail job with its one data task, the Excel report.
• The summary leads with the internship. The summary is where the most relevant experience can come first, so it opens with SQL and the Tableau dashboard and mentions the retail job last.
• The strongest internship result comes first. The dashboard the planners used every week moves to the top of the internship, ahead of the SQL queries behind it.
• Data cleaning is shown, not only listed. The posting asks for data cleaning and validation. The duplicate fare records bullet shows it with a number, and "Data cleaning" moves up in the skills.
• The presenting bullet stays in plain words. The profile says Morgan presented findings to the planning team. The resume keeps that wording and does not describe the audience as non-technical, which the profile does not say.
• Skills are reordered, not added. SQL and Tableau lead, R stays in the list, and customer service moves to the end.
• Facts are copied, not written. Name, contact details, job titles, employers, dates, education, and certification names come straight from the profile. The model only chooses their order where order can change.

Each requirement in the posting, and where the resume answers it:

Each tailored bullet beside the profile bullet it was rewritten from:

Morgan's profile does not support these, so neither the resume nor the cover letter claims them:

• Power BI and Python. Neither is in the profile. The posting accepts Tableau and R, which Morgan has.
• Healthcare data. Morgan's data work is ridership and retail data, so neither document mentions healthcare.
• On-site work. The profile does not say where Morgan can work, so neither document promises it.

Code checks only the resume's structure. Every entry in the Skills section has to match a skill in the profile, and every job title, employer, and date has to match an experience entry. A draft that fails either check is not used. Nothing checks the free text. The summary, the bullets, and the whole cover letter could still mention a skill, tool, or number the profile does not hold. Keeping them to the profile is an instruction to the model, not a check, so read every draft before you send it. If you do have a skill a posting asks for, add it to your profile before you generate.

• The first sentence names the role and the company, and the opening leads with the dashboard rather than the current job.
• The letter names presentations only as a skill. The bullet about presenting to the planning team is fourth in the internship, past the three highlights per role the letter sees, so if presenting matters for a posting, move it up in the profile.
• The sentence about enjoying the cleanup is an opinion the model can write, not a fact it can check. Keep it only if it is true for you.
• It runs 254 words, within the 250 to 350 the model is asked for, and closes by asking for a conversation and thanking the reader.
• The letter is written from a shorter view of the profile: the three most recent roles with their first three highlights each, the first 12 skills, the certifications, and education without dates.

• See what employers advertise on the Data pay page, from live US job postings that list pay.
• Read how the generator tailors a resume, and check your current file with the free resume checker.

Upload a resume and BespokeJobs ranks live openings against it, then tailors a resume and cover letter like this one for any match you pick.