Data Jobs

Data is becoming an essential part of every industry as we have evolved to depend on a digital interface. Data jobs cover a broad field including roles such as Data Analysts, Data Engineers, Business Intelligence jobs, Data Scientists and Web Analytics jobs.

These roles work closely with management and marketing teams to prioritise business and information needs. 

Landing a job in Data

Landing a job in data and analytics will require candidates to have previous experience working in analytics, mathematics, and/or statistics. 

Technical expertise regarding data models, database design development, data mining and segmentation techniques are often required: 

  • Google Analytics
  • Statistical Analysis System (SAS)
  • Statistical Package for the Social Science (SPSS)
  • SQL
  • XML, Javascript, ETL Frameworks 

Data Analysts interpret data, analyse results using statistical techniques, and provide ongoing reports, whilst Data Engineers are responsible for creating and building platforms. Data Scientists make predictions, or decisions, based on data patterns.

Under the umbrella of data comes analytics, which involves collecting, measuring, and analysing data to assess how to progress and make more informed business and marketing decisions. The importance of analytics jobs is becoming particularly prominent across the vast majority of industries, including Technology, DTC, Media and Publishers. 

Data roles in the technology sector

Data-related roles are in demand as the technology sector is evolving and companies are beginning to utilise data more. There has been quick expansion within the digital industry, and businesses are becoming more reliant on the use of data to help make informed, data-driven decisions. 

With the growth of personalisation and loyalty schemes, and a generally rapid expansion of the technology sector overall, opportunities for jobs within analytics and data are growing in order to help push a ‘customer-led’ approach and aid in making informed, effective decisions.

As the digital sector grows, a change in skill set has also emerged. The way we now use data has completely evolved.  For instance, we check sleep and sports performance on fitness apps or monitor babies’ well-being while sleeping. As a result, the growth for data and analysts is infinite. 

Although the number of jobs is increasing, the talent to fill these roles is short, meaning there are lots of opportunities to build a career in the data and analytics sector.

What salary can you expect from a career in data? 

In general, salaries within the data and analytics field have increased significantly in the last 18 months, rising 20-30%. Analyst salaries can start around £35,000 and reach and exceed salaries of £200,000. For data, we can expect a salary range from £40,000 to £130,000.



A career in Data

Whether you are looking for your first data science job or figuring out your next career move in the field, understanding what data roles are available to you is the first step. The industry is ever-evolving so staying in the loop about industry trends is key. 

Whether you go down the routes of an analyst, a statistician or researcher, a data engineer, a machine learning scientist or a compute vision specialist, the opportunities are great and vast. 

Candidates in data and analytics will have typically studied numeracy-based degrees such as Mathematics, Economics, Business Technology or any of the Sciences. 

Entry-level roles require excel skills and ideally a working knowledge of VLookup, Macros and Pivot Tables. Whilst experience isn’t always necessary for these roles, the following can complement any application: digital internships, digital studies (Google Squared), working in an analyst role or general office experience. 

Having a strong understanding of the industry as well as keeping up to date with trends, is critical. For higher-level data roles, a PhD is often preferable for top employers.

An excellent CV for jobs within data and analytics would include previous experience in a field as relevant as possible. Practical experience is particularly valued within analytics roles, so this would be expected to form a large portion of your CV.

Technical skills are another critical area for data jobs to ensure it is up to scratch. Experience in programs such as Python would be beneficial. 

Often, the best CVs are the ones that demonstrate how someone can identify and solve problems and who can clearly communicate their impact at a high level. 

Expect to discuss your education and previous history within an interview, being able to give specific examples of how you’ve used your skills. Different industries may have additional requirements, so make sure you’re able to tailor your answers. Think about what you can offer within the role and how you would be an asset to the team.

Being able to highlight your ability to make data understandable and actionable, and tell a story about a data set and what it means in the bigger picture.

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