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Data Professional

Data Professional separates the two things a data hiring manager reads differently. Tooling, certifications and languages go in a lightly tinted sidebar where they can be checked off quickly. Experience, projects and education take the main column, with dates aligned right so the sequence of roles stays clear while the bullet points do the work of explaining what changed. The tint is deliberately pale so the document prints cleanly in greyscale.

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What makes it different

  • Tooling and certifications separated from the analysis narrative
  • Pale tint that still prints cleanly in greyscale
  • Right-aligned dates keep the role sequence obvious
  • Room in the main column for bullets that carry numbers

Best for

Data analyst and data scientist roles · Business intelligence positions · Analytics consulting · Any CV with both a tool list and a results narrative

When to choose something else

  • Two columns, with the same parser caveat: a system that reads across the page can mix the sidebar into the experience.
  • The tinted sidebar prints as a grey block on a mono printer and can smear on a photocopy.
  • If your tooling list is short, the sidebar looks under-filled next to a full main column.

Where your sections go

Skills, Certifications, Languages, Professional Memberships, Interests sit in a pale tinted column. Everything else — your summary, experience, education and any section you add — runs down the main column in the order you set. A section this layout has no sidebar slot for appears in the main column too, so nothing is ever dropped.

Parses correctly in normal use, with some visual structure. Suitable for most direct applications.

Showing the Data Analyst example. All sample details are fictional.

Professions this layout suits

These examples open on Data Professional by default. You can pair any profession with any template — the suggestion is a starting point, not a restriction.

Data AnalystData Scientist

Guides that go deeper

Choosing a layout settles how the page looks. These settle what goes on it.

How to Write a Data Analyst CVEvery bullet point should end in a decision someone made differently. Dashboards with no audience are activity, not impact.How to List Skills on a CVGroup them, be specific, and cut anything you would not want to be interviewed on for ten minutes.How to Make an ATS-Friendly CVWhat applicant tracking systems do to your file, the four failures that matter, and which of the usual claims about them anybody can actually stand behind.

If this is not the right layout

The layouts a reader of this page most often wants instead, rather than the rest of the gallery in order.

TechnicalTwo columns with the technical stack in a sidebar and experience in the main column.DeveloperA single column with an accented name, heavy header rule and chip-style skill groups.Minimal ATSA plain one-column layout designed to survive applicant tracking systems intact.Elegant Two ColumnA full-height accent sidebar carrying the name, contact details and supporting sections.