Are you looking to write your perfect Statistician CV?
A statistician’s job involves analysing data, interpreting trends and making meaningful insights from numbers and statistics.
To stand out in this competitive field, a well-crafted CV is essential.
Your CV should showcase your qualifications, experience and notable achievements, giving potential employers a clear picture of your capabilities and portraying you as the ideal candidate for the job.
In this article, we’ll provide you with a complete step-by-step guide, useful tips, and examples to help you craft a CV that not only impresses but also lands you more job interviews.
I am a logical, hardworking and committed Statistician with a passion for data and information. I possess strong communication skills, both written and verbal, and I have more than two years of experience in data analysis, interpretation and presentation. I am extremely organised with a keen eye for detail, and I always ensure that the work is completed on time and to a high standard. I am currently looking for a challenging new statistical role in which to develop my analytical and stakeholder skills.
Achievements
Over two years of relevant work experience
Mathematics Private Tutor, 2014
Intern Excellence Award, 2015
Education
2011 – 2014
BSc (Hons) Mathematics
Sheffield Hallam University
Grade achieved: [1:1]
Relevant Modules:
Mathematical Technology
Statistics and Probability
Mathematical Analysis
Statistical Methods
2009 – 2011 Results: Mathematics: A IT: B Economics: B
A Level
Courtney Sixth Form College
2002 – 2009 Results: 11 GCSEs at Grades A*-C.
GCSEs
Woodside High School
Work experience
Oct 2015 – Present
Statistician Experian
Main duties performed:
Converting raw data into meaningful information
Interpreting data and offering advice to clients based on the outcomes
Processing, analysing and interpreting data sets using a broad range of statistical software packages including SAS, STATA, SPSS and R
Using various statistical techniques, including Regression, Pearson’s correlation, Z-scoring, T-Testing and ANOVAs, on large amounts of data
Designing and managing large databases using MS Access, SQL and My SQL
Using advanced features of MS Excel, including Pivot Tables, VLOOKUP and Conditional Formatting
Regularly refining and filtering data to obtain the maximum benefit from analysis
Creating easily comprehensible visual representations of data using MS Excel and Tableau
Writing reports and presenting them to the relevant parties, including colleagues, managers, business professionals, government officials and journalists
Compiling, photocopying, scanning and filing data sheets
Attending and contributing during team meetings
Attending conferences on a national and international level
Feb 2014 – Sept 2015
Statistician Intern Experian
Main duties performed:
Performing general data collection, analysis and presentation duties
Turning raw data into meaningful information by analysing patterns
Producing reports based on findings and presenting them to senior management
Attending meetings within the department
Qualifications
Data Analysis & Statistics – edX
ECDL computing qualification – BSC
Diploma in Business Support (DBS)
Skills
Excellent communication skills, both written and oral
Very high statistical awareness, with the ability to not only collate and report on data but identify from it potential risks and opportunities for improvement
Ability to work with a variety of professionals with different skill sets
Attention to detail and ability to work in a pressurised, time-sensitive environment without compromising on the quality of work
Competent working knowledge of Microsoft Office, MATLAB and SPSS
Hobbies and interests
I am an active member of my local hockey team, and this is something which I very much enjoy. This hobby doesn’t just keep me fit and healthy, but it allows me to meet new people and develop my communication skills outside of the working environment.
The CV follows a clear and traditional format, which is easy to read and navigate.
Contact information is prominently displayed at the top.
Each section is separated with bold headings, making it visually organised.
Bullet points are used effectively to present information in a concise manner.
Structure:
The CV is well-structured with key sections, including personal profile, achievements, education, work experience, qualifications, skills, hobbies and interests and references.
The information flows logically, starting with the personal profile and continuing with education, work experience, qualifications and skills.
Content:
Clear personal profile statement: The CV starts with a well-crafted personal profile statement that provides an overview of her skills, experience, and career goals. It highlights her commitment, strong communication skills, and passion for data, which is crucial for a Statistician role.
Detailed work experience: The work experience section provides a comprehensive account of her responsibilities and contributions in her roles at Experian. It outlines the specific tasks she performed, the software and techniques she used, and her ability to work with diverse professionals.
Qualifications and skills: Jane lists her qualifications, such as the Data Analysis & Statistics course, ECDL computing qualification, and a Diploma in Business Support. Her skills section highlights her strong communication skills, statistical awareness, attention to detail, and proficiency in relevant software.
In summary, Jane Murray’s CV is well-organised, informative and professionally presented. It effectively conveys her qualifications, experience and skills, making it a strong tool for job applications in the field of statistics.
Include a strong opening statement: Start your CV with a compelling professional summary that encapsulates your experience for the role. For example, “Dedicated Statistician with 7 years of experience in data analysis and predictive modelling.”
Use a consistent format: Maintain a consistent format for dates, fonts, font sizes, margins and headings throughout your CV for a polished look. When sending your CV to employers, save it as a PDF to maintain the document’s formatting.
Use quantifiable achievements: Quantify your achievements with statistics or percentages wherever possible. For instance, “Improved data accuracy by 20% through data cleansing techniques.”
Highlight relevant technical skills: List technical skills such as proficiency in statistical software (e.g., R or Python), data visualization tools, and statistical methods.
Keep it concise: Limit your CV to 2 pages, focusing on the most relevant and impactful information to maintain recruiter interest.
Your CV’s personal details section is where you should include your full name, contact details such as your address, phone number and email, as well as a link to your LinkedIn profile (optional).
It’s important to ensure that this section is accurate and up-to-date, as it forms the foundation of your CV and helps potential employers get in touch with you easily.
With a proven track record in statistical analysis, I excel in uncovering actionable insights from data. My expertise in designing surveys and analysing complex datasets has helped organisations make data-driven decisions. For instance, I led a project that boosted product sales by 15% through targeted customer segmentation. I am dedicated to bringing statistical rigour to drive business success.
Achievements and awards
Your CV’s achievements and awards section showcases your notable accomplishments, recognitions and honours relevant to your career or field of expertise.
Example:
Achieved First-Class Honours in Statistics from the University of Oxford.
Published a research paper on Bayesian statistics in a renowned academic journal.
Led a team of statisticians in a complex data analysis project, resulting in valuable insights for the business.
Achieved top scores in A-level mathematics and further mathematics.
Served as a mentor for junior statisticians, helping them develop their skills and careers.
Professional work experience
The professional work experience section is dedicated to showcasing your previous jobs including full-time, part-time, voluntary and paid jobs. See the example below on what information you need to provide for each job entry.
November 2022 – Present
Statistician
Main duties and responsibilities performed:
Conducted data analysis and statistical modelling to provide insights into market trends.
Developed and implemented data collection methodologies, surveys, and experiments.
Collaborated with cross-functional teams to design and execute statistical experiments.
Prepared comprehensive statistical reports, summarising findings and recommendations.
Used statistical software (e.g., R, SAS) to manipulate and analyse datasets.
Ensured data privacy and compliance with industry regulations.
Presented statistical findings to non-technical stakeholders in a clear and understandable manner.
Contributed to the development of data-driven business strategies.
Data analysis: Proficient in conducting statistical analysis to extract meaningful insights from data sets.
Statistical modelling: Skilled in developing and implementing statistical models for predictive and explanatory purposes.
Hypothesis testing: Capable of performing hypothesis tests to validate research findings.
Data visualization: Competent in using tools like graphs and charts to present data in a visually compelling manner.
Data cleaning: Experienced in data pre-processing and quality control to ensure accurate analysis.
Survey design: Able to design effective surveys and questionnaires for data collection.
Statistical software: Proficient in using statistical software such as SPSS, R, or SAS.
Regression analysis: Skilled in linear and non-linear regression analysis for identifying relationships in data.
Time series analysis: Competent in analysing time-dependent data for forecasting and trend identification.
Interpretation and reporting: Proficient in summarizing statistical findings and communicating them to non-technical stakeholders.
Education
The education section of your CV is where you detail your academic qualifications, including the names of institutions, dates of attendance and the degrees or certifications earned.
For a statistician role, this section is important so take the time to perfect it.
Degree classification: Second Class (Upper Division).
Subjects Studied:
Statistical Methods
Probability Theory
Data Analysis
Time Series Analysis
Statistical Software (R and SAS)
September 2014 – June 2016 Results: Mathematics (A), Physics (B), Chemistry (B).
A-Levels
City College Birmingham
Qualifications & training
In this section of your CV, you can list your professional qualifications and training, including any vocational courses and certifications you’ve acquired, to highlight your expertise in statistics and related fields.
Example:
Level 6 BSc in Statistics – University of Manchester
Level 4 Diploma in Data Science – London School of Economics
Level 3 NVQ Diploma in Statistical Analysis – The Open University
Professional Certificate in Data Analytics – Institute of Statistics and Data Analysis
Advanced Diploma in Statistical Modelling – Royal Statistical Society
Skills and core competencies
In the skills section of your CV, you should showcase your specific abilities and competencies that make you a proficient statistician.
This is where you highlight your technical skills, such as proficiency in statistical software (e.g., R, SAS, SPSS), data analysis and statistical modelling. You could also mention your expertise in data visualisation, experience with hypothesis testing or proficiency in using advanced statistical techniques.
Additionally, include your soft skills like problem-solving, critical thinking and effective communication, which are crucial for interpreting and conveying statistical findings to a wider audience.
Example:
Data analysis: Proficient in conducting in-depth data analysis to uncover actionable insights, as demonstrated in a project where I identified trends that led to a 15% increase in sales.
Statistical modelling: Skilled in creating predictive models, evident in a project where I developed a forecasting model that improved inventory management, reducing costs by 10%.
Statistical software: Experienced in using tools like R, SAS, and SPSS to manipulate and analyse data, as showcased in multiple projects, including a market segmentation analysis using R.
Survey design: Ability to create effective surveys and questionnaires for data collection.
Data cleaning: Experience in pre-processing data to ensure its accuracy and reliability.
Data visualisation: Competence in presenting data effectively using graphs and charts.
Hypothesis testing: Skill in performing tests to validate research findings and make data-driven decisions.
Statistical software: Proficiency in using statistical software tools such as R, SAS, or SPSS.
Critical thinking: Strong analytical and critical thinking skills for problem-solving and decision-making.
Experimental design: Ability to plan and conduct effective experiments to gather data.
Statistical inference: Skill in drawing conclusions from data using statistical methods.
Programming skills: Proficiency in languages like Python or R for data analysis and manipulation.
Statistical reporting: Capability to summarise and communicate statistical findings to non-technical stakeholders.
Personal interests
The personal interests section of your CV is an opportunity for you to provide a glimpse into your personality and outside interests.
You can include hobbies and activities that reflect your passions, teamwork, leadership or even your commitment to staying active and healthy.
For example, mentioning interests like playing team sports, volunteering in community projects or participating in book clubs can provide insights into your character and show that you’re not only a skilled statistician but also a person with diverse interests and a balanced lifestyle.
Example:
In my leisure time, I enjoy delving into data-driven puzzles and challenges, which not only complement my passion for statistics but also keep my analytical skills sharp. Additionally, I actively participate in charity runs, demonstrating my commitment to community involvement and social well-being.
Referees
In this last part of your CV, you can provide details of individuals who can vouch for your professional qualifications and character.
Referees can be former employers, supervisors, colleagues or anyone who has worked closely with you and can speak to your skills and suitability for the job.
Although not required at this stage, including references on your CV provides potential employers with the assurance of your credibility and suitability for the role, making it easier for them to make confident hiring decisions.
Example:
Mr. William Ivory Data Researcher, Precision Analytics Ltd. Address: 55 Sycamore Street, Leeds, LS2 8RW Tel: +44 2222 678901 Email:[email protected]
Dr. Emma Lewis Senior Statistician, StatsPro Ltd. Address: 42 Oakwood Avenue, Manchester, M1 2AD Tel: +44 1234 567890 Email:[email protected]
Note: If you do not wish to disclose your references on your CV, you should write, “References are available upon request.”
Statistical reporting: Mention your ability to create statistical reports, for instance, “Prepared comprehensive statistical reports for executive decision-makers.”
Error-free content: Proofread your CV meticulously to ensure it’s free from typos or grammatical errors, which could harm your credibility. As a statistician, your job revolves around attention to detail, accuracy, and analysis. The last thing you’d want is to submit a CV with spelling and grammar mistakes.
Continual learning: Express your commitment to staying current in the field by mentioning any ongoing professional development or courses you’re pursuing.
Showcase soft skills: Include soft skills like attention to detail, critical thinking, and communication abilities, as these are valued by employers.
Written by Sobhan Mohmand Sobhan is a qualified Careers Advisor and Professional CV Writer with over 10 years of experience in helping job seekers get a job. He is a Member of the Careers Development Institute (CDI) and is listed on the official UK Register of Career Development Professionals. He holds a Level 6 Diploma in Career Guidance and Development (QCF).
