The role of a Data Analyst in the UK is both impactful and rewarding. As organizations across industries increasingly rely on data-driven insights to drive decisions and strategy, the demand for skilled data analysts continues to grow. From leading corporations in London to innovative startups in Manchester and Edinburgh, employers are actively seeking analytical professionals, offering competitive salaries and excellent opportunities for career development in this dynamic field.
Data Analyst salary
Base pay £32K – £54Kyr
£41K/yr average base pay
The estimated total pay for a Data Analyst is £41,361 per year in the London United Kingdom area, with an average salary of £38,254 per year. These numbers represent the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users. The estimated additional pay is £3,107 per year. Additional pay could include cash bonus, commission, tips, and profit sharing.
The “Most Likely Range” reflects values within the 25th and 75th percentile of all pay data available for this role. Glassdoor salaries are powered by our proprietary machine learning model, which utilizes salaries collected from our users and the latest government data to make pay predictions.
What do Data Analyst earn
How much does a Data Analyst make in United Kingdom?
£35,257/yr
Highest paying cities for Data Analyst near United Kingdom
- London £42,231 per year
1.2k salaries reported - Cambridge £38,247 per year
33 salaries reported - Reading £37,005 per year
79 salaries reported - Leicester £33,747 per year
40 salaries reported - Birmingham £33,656 per year
97 salaries reported - Cardiff £33,491 per year
50 salaries reported - Manchester £33,460 per year
190 salaries reported - Peterborough £32,122 per year
37 salaries reported - Slough £30,947 per year
21 salaries reported
What’s on Quora?
What is the average starting salary for data analysts in comparison to other IT jobs such as programming and web design?
Six months is enough for you to attain an entry level role if you’re willing to put in the time an effort. For many, it will take a little longer.
If you’re going to watch courses like they are movies and study 20 minutes a day then no way in hell. You aren’t going to make it in any IT role.
When I say study, I mean 3 hours a day, seven days a week. I mean writing the important shit down then studying it until you can make it past a phone screen.
If you think a data analyst is a machine learning engineer, then no, you won’t be working in any AI related role for at a minimum of 4–6 years. Sorry, just how it is.
I’ve had around ten students start from nothing, learn enough SQL and PowerBI and attain a data analyst role in under six months.
Companies need people to create reports and KPIs. If you can do that with PowerBi or Tableau then I promise you’ll get hired.
There are three keys here.
- SQL
- PowerBI
- CERTIFICATION (NOT a f#kin completion certificate, these are ALL WORTHLESS)
You want to ensure you get interviews. Add a cloud certification and a SQL certification to your resume. I’d suggest Azure and AWS on the cloud front. CERTIFICATIONS!!!!!!
Top Answer
To become a data analyst at Google, you need to have the basic requirements and a combination of education, skills, and experience.
- A bachelor’s or master’s degree in a relevant field such as computer science, statistics, or applied mathematics. The competitive pool is a lot shallower if you have an advanced degree. This position also may require an advanced degree.
- Strong skills in data analysis and database management, as well as proficiency in programming languages such as SQL, R, and Python WILL be required. Becoming familiar with big data platforms is very important.
- High-profile employers like Google look for candidates with relevant experience in data analysis, including experience in data visualization and analysis. Not only will it be beneficial to have experience working with large data sets and have experience with cloud-based technologies, but without experience, your chances become slim to none. (You’re not getting the job)
- Data analysts are required to communicate complex technical concepts to non-technical stakeholders, so excellent communication and presentation skills are essential. This is actually a common struggle in the field. Data Analysts have trouble communicating information (dumbing it down) so if you can demonstrate this skill set, any company would be happy to offer you the job.
- The ability to identify, analyze and solve complex business problems, often working with incomplete data sets, is critical for success in a data analyst role.
- As a data analyst, you are required to analyze large amounts of data and ensure that all findings and insights are accurate and reliable.
Google is an extremely competitive employer and having a strong work ethic, a positive attitude, and a track record of innovation and excellence in your work would increase your chances of being selected for a data analyst role at Google. Don’t set your standards to Google right from the start. Settling for less at the beginning of your career is the path almost everyone takes and if you have the ability to perform well, it will work out for you in the end.
I hope this was helpful.
