Are you looking for the perfect formula for writing a senior data analyst CV? Then you’ve come to the right place.
We can help you to craft your application and excel in your data analyst career.
Simply check out our writing guide, along with our senior data analyst CV example below.
Senior Data Analyst CV example
This is a good example of a Senior Data Analyst CV which contains all of the information that a hiring manager will need to know, and presents it in a well- structured, easy-to-read manner.
Take some time to study and understand this CV, and refer to it throughout the writing of your own CV for best results.
Senior Data Analyst CV layout and format
Think your CV is just about the content within it? Think again.
Facilitate ease of reading by using a simple structure which allows anybody to easily navigate your experience.
CV formatting tips
- Length: If you want to hold the reader’s attention and ensure your CV isn’t yawn-worthy, it’s best to stick to two sides of A4 or less. This is more than enough room to highlight why you’re a good match for the role – anything more can quickly become tedious!
- Readability: Columns, lists, bullet points, bold text and subtle colour can all help to aid the readability of your CV. Your overarching goal should be to make the content as easy to read and navigate as possible, whilst also aiming to make your key skills and achievements stand out.
- Design: Don’t waste time adding fancy designs to your CV. It generally adds no value to your application and may even end up distracting recruiters away from the important written content.
- Avoid photos: Logos, profile photos or other images aren’t necessary and rarely add any value – save the space for written content, instead!
Quick tip: Formatting your CV to look professional can be difficult and time-consuming when using Microsoft Word or Google Docs. If you want to create an attractive CV quickly, try our partner’s CV builder and use one of their eye-catching professional CV templates.
When writing your CV, break up the content into the following key sections, to ensure it can be easily digested by busy recruiters and hiring managers:
- Contact details – Always list these at the very top of your CV – you don’t want them to be missed!
- Profile – An introductory paragraph, intended to grab recruiters attention and summarise your offering.
- Work experience / career history – Working from your current role and working backwards, list your relevant work experience.
- Education – Create a snappy summary of your education and qualifications.
- Interest and hobbies – An optional section to document any hobbies that demonstrate transferable skills.
Now I’ll tell you exactly what you should include in each CV section.
CV Contact Details
Start off your CV with a basic list of your contact details.
Here’s what you should include:
- Mobile number
- Email address – It’s often helpful to make a new email address, specifically for your job applications.
- Location – Share your town or city; there’s no need for a full address.
- LinkedIn profile or portfolio URL – Make sure the information on them is coherent with your CV, and that they’re up-to-date
Quick tip: Delete excessive details, such as your date of birth or marital status. Recruiters don’t need to know this much about you, so it’s best to save the space for your other CV sections.
Senior Data Analyst CV Profile
This is a short introduction paragraph which summarises your skills, knowledge and experience.
It should paint you as the perfect match for the job description and entice recruiters to read through the rest of your CV.
Tips for creating an strong CV profile:
- Keep it concise: Recruiters have piles of CVs to read through and limited time to dedicate to each, so it pays to showcase your abilities in as few words as possible. 3-4 lines is ideal.
- Tailor it: If recruiters don’t see your suitability within a few seconds, they may close your CV straight away. Your CV profile should closely match the essential requirements listed in the job ad, so make sure to review them before you write it.
- Don’t add an objective: Career goals and objectives are best suited to your cover letter, so don’t waste space with them in your CV profile.
- Avoid cliches: Clichés like “blue-sky thinker with a go-getter attitude” might sound impressive to you, but they don’t actually tell the recruiter much about you. Concentrate on highlighting hard facts and skills, as recruiters are more likely to take these on board.
Example CV profile for Senior Data Analyst
What to include in your Senior Data Analyst CV profile?
- Summary of experience: Start with a brief summary of your relevant experience so far. How many years experience do you have? What type of companies have you worked for? What industries/sectors have you worked in? What are your specialisms?
- Relevant skills: Employers need to know what skills you can bring to their organisation, and ideally they want to see skills that match their job vacancy. So, research your target roles thoroughly and add the most important Senior Data Analyst skills to your profile.
- Essential qualifications: Be sure to outline your relevant Senior Data Analyst qualifications, so that anyone reading the CV can instantly see you are qualified for the jobs you are applying to.
Quick tip: Struggling to write a powerful profile? Choose from hundreds of pre-written profiles across all industries, and add one to your CV with one click in our partner’s CV builder. All written by recruitment experts and easily tailored to suit your unique skillset.
Core skills section
In addition to your CV profile, your core skills section provides an easily digestible snapshot of your skills – perfect for grabbing the attention of busy hiring managers.
As Senior Data Analyst jobs might receive a huge pile of applications, this is a great way to stand out and show off your suitability for the role.
It should be made up of 2-3 columns of bullet points and be made up of skills that are highly relevant to the jobs you are targeting.
Top skills for your Senior Data Analyst CV
Data analytics – collecting, transformation and organising information to draw conclusions, make predictions, and drive informed decision making around products, services or business strategies.
Business intelligence – combining business analytics, data mining, data visualisation, data tools and infrastructure, and best practices to help organisations make more data-driven decisions.
Data warehousing – utilising data management systems that are designed to enable and support business intelligence activities and analytics.
Machine learning – utilising algorithms to examine historical data and predict trends and outcomes.
Statistical computing – understanding and utilising the algorithms and statistical properties that form the backbone of computer science.
Quick tip: Our partner’s CV builder contains thousands of in-demand skills for every profession that can be added to your CV in seconds – saving you time and greatly improving your chances of landing job interviews.
Work experience/Career history
Now that recruiters have a good overview of your skills and abilities, you need to jump into the detail of your career history.
Give them a more thorough insight into what you can do by creating a detailed list of your relevant experience.
Start with your current role, and work backwards through all the relevant positions you’ve held.
This could be freelance, contract or voluntary work too; as long as it’s related to the role you’re applying for.
Structuring your roles
Lengthy, unbroken chunks of text is a recruiters worst nightmare, but your work experience section can easily end up looking like that if you are not careful.
To avoid this, use my tried-and-tested 3-step structure, as illustrated below:
Begin with a summary of your role, detailing what the purpose of your job was, who you reported to and what size of team you were part of (or led).
Use bullet points to detail the key responsibilities of your role, highlighting hard skills, software and knowledge wherever you can.
Keep them short and sharp to make them easily digestible by readers.
Lastly, add impact by highlight 1-3 key achievements that you made within the role.
Struggling to think of an achievement? If it had a positive impact on your company, it counts.
For example, you might increased company profits, improved processes, or something simpler, such as going above and beyond to solve a customer’s problem.
Example job for Senior Data Analyst CV
Provide expert analytics support for a fast-growing fintech firm who have doubled in size from 1000 to 2000 employees over the past five years through capturing business opportunities that have elevated sales figures.
- Outline business strategies, sales performance, and IT solutions through taking ownership of company’s data analytics and reporting to guide critical decisions and empower teams.
- Establish KPIs for the purpose of identifying trends and evaluating business success initiatives.
- Use MySQL, ETL, BigQuery, Python, R, SharePoint, Tableau, Excel, and other database tools to execute numerous projects related to customer opportunities and internal processes.
- Prepare data, implement solutions, and develop impactful dashboards for business insights.
Quick tip: Create impressive job descriptions easily in our partner’s CV builder by adding pre-written job phrases for every industry and career stage.
Next up, you should list your education and qualifications.
This can include your formal qualifications (a degree, A-Levels and GCSEs), as well as sector-specific Senior Data Analyst qualifications and/or training.
While school leavers and recent grads should include a lot of detail here to make up for the lack of work experience, experienced candidates may benefit from a shorter education section, as your work experience section will be more important to recruiters.
Interests and hobbies
The hobbies and interests CV section isn’t mandatory, so don’t worry if you’re out of room by this point.
However, if you have an interesting hobby, or an interest that could make you seem more suitable for the role, then certainly think about adding.
Be careful what you include though… Only consider hobbies that exhibit skills that are required for roles as a Senior Data Analyst, or transferable workplace skills.
There is never any need to tell employers that you like to watch TV and eat out.
Writing your Senior Data Analyst CV
Creating a strong Senior Data Analyst CV requires a blend of punchy content, considered structure and format, and heavy tailoring.
By creating a punchy profile and core skills list, you’ll be able to hook recruiter’s attention and ensure your CV gets read.
Remember that research and relevance is the key to a good CV, so research your target roles before you start writing and pack your CV with relevant skills.
Best of luck with your next application!