Analytics Careers Advice

Welcome to the Careers Advice area. Here you will find exclusive articles, information and resources on the Data Analytics and Data Science industries.

Browse through our articles to find advice on how to get started in Analytics, tips for creating your CV, what to expect in Analytics job interviews, skill-building articles to help you move up the ladder in your Analytics career, and articles on how to balance your work & personal life, and grow your confidence both in and outside of the workplace.

  • Data is now more abundant than ever, and organisations are striving to use this data more effectively as they seek competitive advantage. Data Analysts and Business Analysts are vital in this endeavour, and although they might sound similar, there are a few differences between these two positions.
  • Whether you’re starting your career in Data Science or considering moving from your current organisation, it’s a good idea to have a think about what an ideal role would look like for you and where you’re most likely to find it.
  • You’d be forgiven for thinking that the name “Business Intelligence Analyst” pretty much describes the entirety of the role. Yet there are a multitude of diverse activities that sit behind this seemingly innocuous job title.
  • In terms of building your skills base for a career in data analytics, a degree in a related field is certainly useful, but not essential. We look at some qualification routes that you can follow to build up your skills and what you can expect to learn on your journey.
  • With the growing importance of data science there has been a corresponding expansion in both the hard and soft skills expected of Data Scientists. We've prepared some structure to help you get ready for your interview more systematically and comprehensively.
  • Can you switch things up professionally and move from accounting or risk management to data analytics? The short answer is yes, but there are some questions to ask yourself as part of your planning process.
  • Working in Data Analytics can be a varied and interesting career. We look at what a typical day in the life of a Data Analyst could involve.
  • We look at what questions to ask at your Data Science interview that would help you ascertain whether this role and this company is the right fit for you.
  • While you will be expected to answer questions on career goals, experience and Data Analysis basics, the real proof of your worthiness to fill a Data Analyst role is in your technical proficiency.
  • What types of questions might you be asked during your Data Analyst interview? Expect different types of questions depending on the level at which you're applying to.
  • Data makes the world go round. So long as we have the experts available who can interpret it. So, what do companies look for when hiring people for Data Analyst jobs?
  • What questions should aspiring Data Scientists ask when they are called for interview in order to showcase their expertise?
  • Working in data analytics opens a great many doors but as with anything those opportunities will only materialise if you lay the right foundations.
  • Working in data analytics undoubtedly demands that practitioners are technically skilled. However, it’s important not to discount the value of soft skills. So, which are the soft skills you need to set your data analytics career on the track to success?
  • For candidates wanting to break into a career in data science, we shed some light on how best to prepare for your job interview and what hiring managers are looking for.
  • What type of person fits the mould for Artificial Intelligence (AI) or Machine Learning (ML) jobs? We look at what you need to know to get into these specialised fields.
  • Data Analyst is one of the hottest jobs on the current job market but in today’s ever-changing business landscape, what is the outlook for your career prospects long-term?
  • Business Analysts are a highly valued role in many companies. But, what exactly makes a Business Analyst so vital?
  • If the idea of an intellectually and financially rewarding career sounds appealing, then working in Quantitative Analytics may be worth further research.
  • A career in Data Science requires a mix of technical expertise, an array of soft skills and considerable experience. But how do you highlight these on your CV?