No matter what industry you want to work in, data mining skills are highly sought-after right now, making this a promising career path.
But in order to land the role, you first need to dig deep and create an impressive application that will blow the recruiter away.
To help you do this, we’ve put together a data mining CV example, complete with our top writing tips to guide you.
Data Mining CV example
This CV example demonstrates the type of info you should be including within your Data Mining CV, as well as how to format and layout the content in a way which looks professional and is easy for time-strapped recruiters to read.
This is the look and feel you should be aiming for, so remember to refer back to it throughout your CV writing process.
Data Mining CV structure & formatting
If they can find the information they need quickly, they’ll be happy; but if they struggle, your application could be overlooked.
A simple and logical structure will always create a better reading experience than a complex structure, and with a few simple formatting tricks, you’ll be good to go.
How to format your CV
- Length: Recruiters will be immediately put off by lengthy CVs – with hundreds of applications to read through, they simply don’t have the time! Grabbing their attention with a short, snappy and highly relevant CV is far more likely to lead to success. Aim for two sides of A4 or less.
- Readability: Recruiters appreciate CVs that they can quickly scan through without trouble. Ensure yours makes the cut by formatting your headings for attention (bold or coloured fonts should do the trick) and breaking up long paragraphs into smaller chunks or short, snappy bullet points.
- CV 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.
- Photographs: You can add a profile photo to your CV, if you want to add some personality to it, but they are not a requirement the UK, so you don’t have to.
Quick tip: Creating a professional CV style can be difficult and time-consuming when using Microsoft Word or Google Docs. To create a winning CV quickly, try our CV Builder and use one of our eye-catching professional CV templates.
As you write your CV, work to the simple but effective structure below:
- Name and contact details – Pop them at the top of your CV, so it’s easy for recruiters to contact you.
- CV profile – Write a snappy overview of what makes you a good fit for the role; discussing your key experience, skills and accomplishments.
- Core skills section – Add a short but snappy list of your relevant skills and knowledge.
- Work experience – A list of your relevant work experience, starting with your current role.
- Education – A summary of your relevant qualifications and professional/vocational training.
- Hobbies and interests – An optional sections, which you could use to write a short description of any relevant hobbies or interests.
Now, let’s take a closer look at what you should include in each section of your CV.
CV Contact Details
Kick-start your CV with your contact details, so recruiters can get in touch easily.
Here’s what you should include:
- Mobile number
- Email address – Make sure it’s professional, with no silly nicknames.
- Location – Your town or city is sufficient, rather than a full address.
- LinkedIn profile or portfolio URL – Ensure they’ve been updated and are looking slick and professional.
Quick tip: Avoid listing your date of birth, marital status or other irrelevant details – they’re unnecessary at this stage.
Data Mining CV Profile
Your CV profile is basically a short introductory paragraph, which summarises your key selling points and highlights why you’d make a good hire.
So, write a well-rounded summary of what you do, what your key skills are, and what relevant experience you have.
It needs to be short, snappy and punchy and, ultimately, entice the reader to read the rest of your CV.
CV profile writing tips:
- Make it short and sharp: It might be tempting to submit a page-long CV profile, but recruiters won’t have the time to read it. To ensure every word gets read, it’s best to include high-level information only; sticking to a length of 3-5 lines.
- 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: Leave your career objectives or goals out of your profile. You only have limited space to work with, so they’re best suited to your cover letter.
- Avoid generic phrases: If there’s one thing that’ll annoy a recruiter, it’s a clichè-packed CV. Focus on showcasing your hard skills, experience and the results you’ve gained in previous roles, which will impress recruiters far more.
Example CV profile for Data Mining
What to include in your Data Mining CV profile?
- Summary of experience: Recruiters will want to know what type of companies you’ve worked for, industries you have knowledge of, and the type of work you’ve carried out in the past, so give them a summary of this in your profile.
- Relevant skills: Highlight your skills which are most relevant to Data Mining jobs, to ensure that recruiters see your most in-demand skills as soon as they open your CV.
- Vital qualifications: If the jobs you are applying to require candidates to have certain qualifications, then you must add them in your profile to ensure they are seen by hiring managers.
Quick tip: If you are finding it difficult to write an attention-grabbing CV profile, choose from hundreds of pre-written profiles across all industries, and add one to your CV with one click in our CV Builder. All profiles are 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 Data Mining 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.
Vital skills for your Data Mining CV
Data Mining Algorithms – utilising algorithms to analyse data and look for specific patterns or trends, before creating a model from the data.
Business Analytics – utilising appropriate statistical techniques to analyse data and generate required information that can be used to make strategic business decisions.
Machine Learning/AI Lifecycle – understanding all stages of the lifecycle from data collection, data analysis, feature engineering and algorithm selection to model building, tuning, testing, deployment, management, monitoring and feedback loops for continuous improvement.
Technical Report Writing – collecting and formatting raw data and translating it into a digestible report format to assess the hypothesis, business performance etc.
Technology Solutions – utilising relevant technologies and software to collect, integrate and visualise data.
Quick tip: Our CV Builder has thousands of in-demand skills for all industries and professions, that can be added to your CV in seconds – This will save you time and ensure you get noticed by recruiters.
Your work experience section
Recruiters will be itching to know more about your relevant experience by now.
Kick-start this section with your most recent (or current) position, and work your way backwards through your history.
You can include voluntary and freelance work, too – as long as you’re honest about the nature of the work.
Structuring each role
Your work experience section will be long, so it’s important to structure it in a way which helps recruiters to quickly and easily find the information they need.
Use the 3-step structure, shown in the below example, below to achieve this.
Firstly, give the reader some context by creating a punchy summary of the job as a whole.
You should mention what the purpose or goal of your role was, what team you were part of and who you reported to.
Follow with a snappy list of bullet points, detailing your daily duties and responsibilities.
Tailor it to the role you’re applying for by mentioning how you put the target employer’s desired hard skills and knowledge to use in this role.
To finish off each role and prove the impact you made, list 1-3 stand out achievements, results or accomplishments.
This could be anything which had a positive outcome for the company you worked for, or perhaps a client/customer.
Where applicable, quantify your examples with facts and figures.
Sample job description for Data Mining CV
Adapt to new product features, roll out changes for successful tests, develop models, and analyse vast amounts of data for a large online travel platform, with a network of 3M+ properties.
- Collaborate with stakeholders to leverage data analytics for delivering actionable insights and accelerating business growth.
- Liaise with sales and marketing teams to support data-driven revenue generation efforts.
- Design data modelling systems to mine information which enhances business processes.
- Use statistics, mathematics, and computer science principles to extract information from large datasets.
Quick tip: Create impressive job descriptions easily in our CV Builder by adding pre-written job phrases for every industry and career stage.
Education and qualifications section
At the bottom of your CV is your full education section. You can list your formal academic qualifications, such as:
- A levels
As well as any specific Data Mining qualifications that are essential to the jobs you are applying for. Note down the name of the qualification, the organisation at which you studied, and the date of completion.
Hobbies and interests
Although this is an optional section, it can be useful if your hobbies and interests will add further depth to your CV.
Interests which are related to the sector you are applying to, or which show transferable skills like leadership or teamwork, can worth listing.
On the other hand, generic hobbies like “going out with friends” won’t add any value to your application, so are best left off your CV.
Writing your Data Mining CV
A strong, compelling CV is essential to get noticed and land interviews with the best employers.
To ensure your CV stands out from the competition, make sure to tailor it to your target role and pack it with sector-specific skills and results.
Remember to triple-check for spelling and grammar errors before hitting send.
Good luck with the job search!