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KajoData / Career & business

Data analyst CV mistakes: show your skills and experience clearly

I show how to replace general claims with accurate descriptions of work that a reader can understand and discuss in an interview.

Kajo RudzińskiPublished Updated 12 min read

A blank three-section board, magnifying glass and bridge model represent inspectable experience on a CV.

A data analyst’s CV should help someone answer a few questions: what you can do with data, the context in which you have worked and how you know your result makes sense. Yet it is easy to fill a page with technology names, adjectives and graphical skill ratings. The document looks finished while leaving the reader unable to identify a concrete task they could give you.

I will work through how to improve that document, especially for someone starting out or changing careers. The editing approach also applies to a longer work history. All candidate descriptions below are fictional examples for comparing presentation choices. They are not achievements to copy into your own CV. A clear document can help demonstrate fit, but silence from an employer does not automatically prove that the CV is poor.

Choose information after reading the vacancy

I would start with the responsibilities and requirements of the specific role. Reporting experience needs a different emphasis from product analysis experience. That changes the order and level of detail rather than the underlying facts. The reader should be able to find what matters for the proposed work. National Careers Service also recommends tailoring a CV to the opportunity.

On a working page, I would connect three requirements with three pieces of evidence. For SQL, find a query or project you can explain. For collaboration, choose a situation where you clarified a need. For data quality, identify how you checked the input or result. An empty space in this map shows a gap; it is not an invitation to invent experience.

I would avoid copying complete sentences from the advertisement. Use relevant tool names and terminology when they accurately describe your work. A claim about Power BI should lead to a project, task or specific capability. Repeating keywords alone does not provide material for an interview. The document also needs to make sense to a person who will ask about the details.

Mistake one: a profile full of adjectives

“Ambitious, communicative and open to new challenges” sounds familiar but says little about the work you are preparing to do. In a short profile, I would explain my starting point, what I can already do and the type of role I am seeking. A few concrete sentences are enough. You do not need a complete career autobiography or a declaration that you have always loved numbers.

Consider this fictional opening: “I am an ambitious person who learns quickly and wants to develop in IT.” An edited version could be: “I work in order support and am preparing for a junior analyst role. In practice projects, I use SQL to join tables and check results against source totals. I am looking for work involving operational reporting.” The second version supplies context and useful questions for a conversation.

Do not paste that description into a CV unless it fits your situation. If you cannot yet join tables independently, describe a narrower capability. If your current job already includes analysis, identify that experience rather than presenting yourself as a complete beginner. A profile should organise the facts, not force every candidate into the same career-change narrative.

Mistake two: ratings without a defined capability

Three stars beside Excel do not tell me whether you can build a pivot table, prepare data or change a cell’s colour. “Intermediate” also leaves room for interpretation. I would add tasks I can complete and verify, such as pivot tables, matching records by key and checking duplicates. A short statement of capability gives the reader more useful information than a decorative progress bar.

For SQL, you might identify filtering, grouping and joins, then point to the project where you used them. For Python, distinguish language basics from working with pandas. I would not list every library mentioned in a course if I could not independently reproduce a small application. Tool names should connect to actions you can explain.

You can also describe independence. Following instructions, modifying an example and designing a solution yourself are different stages. None requires pretending to have reached the next one. If the interviewer asks which decisions were yours, an accurate description makes the answer easier to develop. My interview preparation guide explains how to prepare examples that support follow-up questions.

Mistake three: responsibilities without specific action

“Prepared reports” could mean copying values, writing queries or establishing metric definitions. I would clarify the subject of the work, my contribution and the outcome. Not every bullet needs a number. It does need information that distinguishes your work from a generic job description. The reader should have something concrete to ask about.

A fictional edited sentence might say: “Prepared a weekly breakdown of open requests by category, checked missing identifiers and reconciled totals with the source export.” This may still describe a straightforward task, but its scope is now visible. If you also agreed definitions with the recipient, include that. If someone else did so, preserve the distinction between their responsibility and yours.

I would avoid verbs that imply a larger scope than the work involved. Implementing a reporting system is different from creating a first report draft. Managing a team is different from coordinating tasks in a student project. Precision does not remove the value of the experience. It helps the employer assess that experience against the actual role.

Explain the baseline behind a number

Before saying you reduced report preparation time, establish what was measured before and after the change. Was it your working time, script runtime or the entire process including waiting for inputs? Did the report’s scope remain the same? Without that context, the claim may look convincing on the page but become unclear as soon as someone asks how you measured it.

In a synthetic example, preparing the same report took 90 minutes before a change and 60 minutes afterwards. The difference is 30 minutes, or about one third of the original time. That does not automatically demonstrate financial savings or better quality. You could state the time and scope if you had actually checked them. I would not label it a 50% efficiency improvement without defining a different measure.

If there is no measurement, describe a qualitative outcome: an agreed definition, removal of a manual step, a reproducible analysis or an identified discrepancy. Include only what happened. You can also state that a solution remained a prototype. An honest limitation gives the interview a better starting point than a number invented because a CV guide said every bullet must be quantified.

Two drawers contrast loose blocks with a completed mechanism and an organised block arrangement

Make a junior project understandable and inspectable

For a project, I would show the question, data, my work and the validation. “Sales dashboard” leaves too much unexplained. Were the data public, synthetic or supplied by a course? What did one row represent? How did you check that a join had not inflated the total? A few sentences can explain more than a long list of functions.

Here is a fictional description: “Practice project using synthetic data: analysed paid orders by channel, excluded cancelled orders and displayed missing-amount counts beside totals. Checked the query against a small reference dataset.” A polished thumbnail does not turn this into a commercial deployment. It does, however, have a clear scope and a visible approach to checking its result.

Link to the specific work with a short introduction, rather than an empty profile. Open the link while logged out of your own account. The recipient should not need to request access merely to see a basic project presentation. Share only material you are entitled to publish. Removing a company’s name does not by itself make its confidential data suitable for a public portfolio.

I would not treat one generic consent sentence as a universal condition for a valid CV. The basis for processing personal information depends on the purpose and scope. In Poland, UODO’s recruitment guidance distinguishes information required under employment rules from additional information provided by a candidate. It does not support a blanket claim that every CV must contain the same consent statement.

Read the vacancy, privacy information and application fields. Establish whether a declaration concerns this recruitment process or future opportunities too. Do not copy another organisation’s name or purpose from a random template. Ask the employer to clarify an unclear instruction. I am not supplying a legal clause here: the relevant process and jurisdiction need their own current check.

I would also limit the document to information relevant to the application. A portfolio should demonstrate capability without exposing private details or colleagues’ information. If you ask for feedback in a public space, prepare a copy with contact details removed. Discussing the quality of the document does not require publishing the complete version you would send to an employer.

Mistake five: cutting work history by an arbitrary date

I would not impose a fixed rule that everything more than five or eight years old must disappear. Earlier work may explain industry knowledge, process understanding or responsibility relevant to the next role. At the same time, not every old duty needs its own paragraph. Keep the useful facts and describe less relevant positions more briefly.

A career changer does not need to erase their previous career. Logistics, sales or customer support can provide knowledge of processes they will later analyse. Show that connection through a task or decision. The industry name alone does not replace technical capability, and completing a course does not erase the value of earlier professional experience.

Keep dates clear and facts consistent across documents. A shortened role description should not become a completely different position from the one on your professional profile. Career breaks and changes of direction can be described plainly without inventing uninterrupted employment. The organisation of the CV should follow the person’s actual history and the vacancy’s requirements.

Mistake six: courses without evidence of application

A course list shows what you studied, but it does not establish what you can do. For the most relevant course, I would add a project or the scope of practice. Do not turn an introductory SQL course into an expert certification. Distinguish completing material, passing exercises and passing an external examination. Names and dates should match the records you actually have.

I would not automatically remove formal education to make room for courses either. In some roles it matters directly; in others a short entry is sufficient. A graduate’s dissertation may be their strongest example of working with data. For someone with substantial experience, professional work may deserve more space. Choose according to which evidence best explains the match with the role.

Keep a complete record of work and learning outside the version you send. Select from it for each application. Europass describes a similar distinction: a profile can hold a broader history while a CV includes information selected for a particular purpose. Every item in your record does not have to appear in the same file.

Readable files and a careful view of ATS

I would use a straightforward layout, clear headings and selectable text. Complex columns, text boxes and graphics can make automated extraction more difficult. Greenhouse documents these issues for its own resume parser. That is evidence about a particular product, rather than proof that every applicant tracking system rejects every document with a certain appearance.

First follow the format requested by the application form. Then inspect the export on another device and try copying its text into a plain editor. Is the sequence understandable? Are the name, contact details and dates intact? This catches some problems without certifying compatibility with every system. If the application form populates fields automatically, review those fields before submitting.

I would not squeeze the document onto one page at any cost. Remove repetition and low-value content while keeping the type comfortable to read. A longer history may require more space; a short one does not need an empty second page. Check that page breaks do not separate a job heading from its description and that links still work after export.

Two layouts for different starting points

For someone without an analytical job, I might try a short profile, capabilities, two clearly explained projects, work history and education. That is a suggested order to adapt, rather than a rule. If previous work is closely related to the process being analysed, move it higher. The reader should find the strongest evidence of preparation without searching underneath a long list of completed courses.

For an experienced analyst, I would usually begin with their area of expertise and recent roles with specific outcomes. Side projects can add value when they demonstrate something not visible in professional work. Ten similar dashboards may reveal less than two well-chosen examples. I would also check whether the document shows changing responsibility, such as moving from preparation to definitions, validation or maintaining a solution.

Test either layout with another reader. Ask them to identify the intended role, level of independence and one project worth discussing. Do not ask only whether the document looks attractive. If their answers are unclear, move stronger evidence upwards or make the descriptions more precise. This does not predict a recruiter’s decision, but it checks whether the document communicates what you intended.

Mistake seven: skipping the final check

I would verify the email address, phone number, links, filename and document language. A contact typo has different consequences from an awkward profile sentence, so start with details that could prevent a reply. You do not need to submit a test application to check your address or open your own file. Also inspect the attachment preview if the form provides one.

Next, read every claim while asking whether you can supply an example and explain your contribution. If the answer requires telling a different story, revise the claim. Ask another person to identify your main capabilities after a brief read. If they identify something different from the relevant requirements, the order of information or the wording may need work.

Finally, keep the submitted version together with the vacancy. When an invitation arrives, you will know which examples to prepare. Across several applications, review both the choice of roles and the document rather than drawing a strong conclusion from a single rejection. The principle I find useful in a CV is familiar from analysis: define the question, present evidence and keep the claim within what the evidence supports.

Key takeaways

Must a CV fit on one page?

There is no single length for every history. Select relevant evidence, remove repetition and keep the text readable with sensible page breaks.

What should replace graphical skill ratings?

Describe tasks you can complete and check, with a project showing their use. Be clear about how independently you performed the work.

Does every bullet need a percentage improvement?

No. Use numbers when you know their scope and measurement basis. Otherwise describe a real qualitative outcome without inventing achievements.

Kajo Rudziński

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