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7 Data Science Trainee - Data Analytics CV Templates with Example

By Ria · Last Updated On 19 October 2026
CV example — page 1

This guide shows you how to create a clear, focused Data Science Trainee - Data Analytics CV. It explains how to present relevant evidence and choose a format that helps readers review your skills and project work.

A strong CV for this target role makes data preparation, analysis and business interpretation easy to follow. Learn how to describe work with Excel, SQL, Python 3 and Tableau, and how to show careful data checks and useful findings without overstating your experience.

Compare the example presented in 7 layouts through PNG image previews, then open a preferred version in the editor to customise it. The guide also covers ATS readability, clear CV sections and relevant terms such as data mining, data manipulation, reporting, data validation and business analysis.

What Makes a Great Data Science Trainee - Data Analytics CV in 2026

A strong CV presents relevant skills, project work and qualifications in a clear order. Focus on how you prepared data, checked its quality and shared findings.

Use concise bullets with supported details, and include relevant terms such as SQL querying, Python 3, Tableau dashboards, data reporting and interpretation. Add figures only when you can verify them.

Note: CV examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organisations do not imply affiliation or endorsement.

#1 Simple One Column Format CV Example

The single-column body creates a straightforward reading path, helping reviewers follow project details and supporting information in sequence.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • The uninterrupted column lets reviewers read project evidence without switching between body areas.
  • Skills and qualifications remain part of the same clear reading path as experience.
  • Education and certifications are easy to locate within the single-column structure.

Best For

  • Straightforward recruiter review
  • Detailed project descriptions
  • Several distinct CV sections
  • Top-to-bottom reading preference
  • Text-focused presentation

CV Keywords

  • Data Analysis
  • Microsoft Excel, expert level
  • using SQL to extract and query relational database records
  • Used Python 3 and Microsoft Excel to mine, clean and manipulate transaction data
  • Developed Tableau dashboards and supporting reports to explain product and seasonal patterns
  • data mining
  • Data manipulation
  • data reporting and interpretation
  • data administration
  • CompTIA Data+
  • BCS Business Analysis Foundation
  • Business Analysis
 

#2 Simple Two Column Format CV Example

Two body columns organise information into parallel areas, suiting readers who want a compact view of varied CV sections.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two body columns give project history and supporting sections distinct visual areas.
  • Reviewers can compare experience with education and credentials in one organised view.
  • Skills and achievements have space without interrupting project descriptions.

Best For

  • Separate experience and supporting information
  • CVs with varied content groups
  • Quick comparison of project and qualification details
  • Concise skills and education summaries
  • Preference for two-column reading

#3 Plain One Column with Shaded Labels CV Example

The one-column body presents CV content in a familiar reading sequence, making project details and qualifications easy to follow.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Project descriptions stay connected to their dates and role details during review.
  • Skills and qualifications remain within the same linear scan as experience.
  • Education and credentials fit into one continuous body reading path.

Best For

  • Linear CV reading
  • Project-led evidence
  • Experience with supporting qualifications
  • Text-rich sections
  • Readers who prefer a single column
 

#4 One Column Format with Photo Right CV Example

A single-column body keeps the CV content in a clear reading sequence, with a photo included as a personal visual element.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • One-column reading keeps project evidence in a consistent top-to-bottom order.
  • Skills and education share a single body reading path with experience.
  • A profile photo adds a personal visual element to the document.

Best For

  • CVs designed to include a profile photo
  • Single-column reading preference
  • Project details with supporting qualifications
  • Clear top-to-bottom review
  • Personal visual presentation
 

#5 Clean Two Column Sidebar Format CV Example

The two-column body organises content in parallel areas, giving readers a compact way to review project history and supporting details.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two columns distinguish project history from supporting information during a focused review.
  • Reviewers can locate skills and credentials without reading every project bullet.
  • Experience descriptions retain a clear place alongside other CV content.

Best For

  • Project history with supporting details
  • CVs with several content groups
  • Quick access to skills and credentials
  • Compact information organisation
  • Preference for two-column layouts
 
 

#6 Two Column Format CV Example

Two columns create distinct areas for CV content, helping reviewers move between project experience and supporting qualifications.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two-column organisation distinguishes project work from supporting qualifications.
  • Parallel areas keep skills and education visible beside experience details.
  • Reviewers can scan sections by category as well as from top to bottom.

Best For

  • Category-based CV review
  • Project experience with credentials
  • Skills and education beside experience
  • Readers comparing several content areas
  • Two-column information organisation
 

#7 Photo Header Two Column Format CV Example

Two columns organise the CV body into separate areas, while the included photo adds a personal visual element.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two columns give experience and supporting sections distinct reading areas.
  • Project evidence can be reviewed alongside education and credentials.
  • An included photo adds a visible personal element to the CV design.

Best For

  • CVs that include a profile photo
  • Two-column section organisation
  • Project evidence with supporting qualifications
  • Readers who scan by content area
  • Personal visual presentation
 
 
 

Why Build Your Data Science Trainee - Data Analytics CV with ResumeInMinutes

ResumeInMinutes helps you organise your data skills, project evidence and education in a clear CV. Compare PNG image previews, then open an example in the editor to customise its content and layout.

  • Different CV layouts
  • Clear, readable section structure
  • Space for role-specific keywords
  • Organised skills and project evidence
  • PNG image previews
  • CV customisation in the editor

Choose a format that makes your analysis work easy to review. Give clear space to data preparation, validation, tools and the way you explain findings to non-technical readers.

 

See Also

 

Frequently Asked Questions

Are these Data Science Trainee - Data Analytics CV templates ATS-friendly?

The examples use clear headings and sections to support scanning. Include relevant terms naturally, such as data analysis, SQL querying, Python 3, Tableau visualisation, data validation and business analysis.

Are these separate CV examples or different layouts of one example?

This page shows one role-focused CV example in different layouts. Compare the PNG image previews, then open an example in the editor to customise it.

What should a Data Science Trainee - Data Analytics CV include?

Include a focused summary, relevant project or work experience, education, skills and qualifications. Explain how you prepared and checked data, used tools such as Excel, SQL, Python 3 or Tableau, and presented findings.

Which CV layout works well for this role?

Choose a layout with clear headings and a simple order for your experience, skills and education. A clean structure can help recruiters and applicant tracking systems find key details.

How can I show data analysis project work on my CV?

Use concise bullet points to describe the question, the data and tools used, your checks, and what the analysis showed. Include practical recommendations or measurable results only when you can support them.

Should I include a photo on my CV?

For UK applications, a photo is usually not needed. Use the space for relevant skills, project evidence and qualifications instead.

ATS Score 100%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your CV is used. This is not a match to a specific vacancy.
  • Text-based CV: 20%. The text CV assessed here receives 100 for this part.
  • CV quality: 20%. We start at 100 and subtract points for issues found by our CV checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based CV 20% · CV quality 20%

Keyword coverage: 12 of 12 (100%) · CV quality: 100%

CV quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Max Murray
  • ✓Email format: max.murray@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Data Analyst Portfolio Project
  • ✓Experience 1: Company name: Independent Data Analytics Project
  • ✓Experience 1: Work location: Bristol, UK
  • ✓Experience 1: Employment dates: Sep 2025 - Sep 2026
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Business Analysis Course Project
  • ✓Experience 2: Company name: University Project
  • ✓Experience 2: Work location: Cardiff, UK
  • ✓Experience 2: Employment dates: Oct 2021 - May 2022
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Data Analysis Project Contributor
  • ✓Experience 3: Company name: Student Data Visualisation Lab
  • ✓Experience 3: Work location: Cardiff, UK
  • ✓Experience 3: Employment dates: Oct 2020 - Jun 2021
  • ✓Experience 3: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based CV 100% · Weight 20%

Parsed text
Max Murray
07700 90XXXX
max.murray@example.com
maxmurray
Bristol, BS1 5AH
SUMMARY
Entry-level Data Analyst with a business-focused academic foundation and practical project experience in data preparation, database querying, visualisation and business interpretation. Apply Microsoft Excel at expert level, SQL, Python 3 and Tableau to examine retail performance and service demand, validate datasets and present findings for non-technical audiences. CompTIA Data+ certified and qualified in BCS Business Analysis Foundation, with experience translating stakeholder needs into prioritised requirements and clear reports. Combine structured data mining and manipulation with careful checking of source records, communicating the limits of analysis alongside useful recommendations.
EXPERIENCE
Data Analyst Portfolio Project
Sep 2025 - Sep 2026
Independent Data Analytics Project
Bristol, UK
Handled data administration for anonymised retail transactions, using SQL to extract and query relational database records, validate fields and document data quality issues.
Used Python 3 and Microsoft Excel to mine, clean and manipulate transaction data, then checked totals and trends against source extracts to create a reliable analysis dataset.
Developed Tableau dashboards and supporting reports to explain product and seasonal patterns; presented findings in plain language with practical recommendations for a non-technical review panel.
Business Analysis Course Project
Oct 2021 - May 2022
University Project
Cardiff, UK
Examined a university service-booking process through stakeholder interviews and process mapping, turning ambiguous needs into prioritised requirements and a concise business case.
Used Excel to organise sample service data and compare demand across periods, clearly separating observed results from assumptions in the written analysis.
Presented data reporting and interpretation, findings and proposed measures to classmates and tutors, applying business analysis principles to connect operational needs with evidence and explain the limits of the sample.
Data Analysis Project Contributor
Oct 2020 - Jun 2021
Student Data Visualisation Lab
Cardiff, UK
Prepared a small public transport dataset for a supervised coursework exercise, recording definitions and resolving inconsistent date and category formats before analysis.
Created Tableau visualisations and an accompanying report, selecting chart types to make route-level differences easy to interpret during a class presentation.
Used peer feedback to improve dashboard labels and the written explanation, strengthening the clarity and organisation of the final coursework submission.
PORTFOLIO
Title: Data Analyst Portfolio Project: Retail Transactions
Link:
Description: SQL extraction and data validation, Python 3 and Excel analysis, and Tableau dashboards with reports on product and seasonal patterns.
LEADERSHIP, AWARDS & RECOGNITION
Peer Learning Coordinator, Student Data Society, Cardiff Metropolitan University, 2021–2022. Organised informal spreadsheet analysis study sessions and shared structured revision notes with classmates.
Course Project Showcase Commendation, Cardiff Metropolitan University, 2022. Recognised for clear communication of evidence and recommendations.
Business School Academic Progress Commendation, Cardiff Metropolitan University, 2021.
EDUCATION
Bachelor of Arts in Business Management
2022
Cardiff Metropolitan University
Cardiff, UK
CERTIFICATIONS
CompTIA Data+ Certification
2025
BCS Business Analysis Foundation, BCS-accredited
2026
TECHNICAL SKILLS
Spreadsheets: Microsoft Excel, LibreOffice Calc, Google Sheets
Programming Languages: Python 3, SQL, R
Data Visualisation: Tableau, Microsoft Power BI, Looker Studio
Relational Databases: PostgreSQL, MySQL, SQLite
Python Data Libraries: pandas, NumPy, Matplotlib
Notebook Environments: Jupyter Notebook, Google Colab, Visual Studio Code
Version Control: Git, GitHub, GitLab
Data Formats: CSV, JSON, XML
Database Clients: DBeaver, pgAdmin, MySQL Workbench
Business Intelligence Platforms: Qlik Sense, Apache Superset, Metabase
SKILLS
Data analysis
Microsoft Excel, expert level
SQL database querying
Python 3 analysis
Tableau visualisation
Data mining
Data manipulation
Data reporting
Data interpretation
Data administration
Business analysis
Data validation
Dashboard development
Stakeholder interviews
Process mapping
PROFESSIONAL AFFILIATIONS
Member, BCS, The Chartered Institute for IT, engaging with the professional community focused on business analysis and information technology.
Member, Chartered Institute of Management Accountants (CIMA), engaging with a professional community relevant to business performance and analysis.

Matched keywords (12)

  • Data Analysis
  • Microsoft Excel, expert level
  • using SQL to extract and query relational database recordsOriginal keyword in JD: SQL database extraction and querying
  • Used Python 3 and Microsoft Excel to mine, clean and manipulate transaction dataOriginal keyword in JD: Python 3 for data analysis
  • Developed Tableau dashboards and supporting reports to explain product and seasonal patternsOriginal keyword in JD: Tableau dashboards and data visualisation
  • data mining
  • Data manipulation
  • data reporting and interpretation
  • data administration
  • CompTIA Data+
  • BCS Business Analysis Foundation
  • Business Analysis

Missing keywords (0)

No missing keywords.

Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

CV and cover letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organisation.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that CV or cover letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on CV formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

Terms and Conditions
 
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