Data Analyst Salary in United Kingdom during 2024
💰 The median Data Analyst Salary in United Kingdom during 2024 is USD 55,000
✏️ This salary info is based on 215 individual salaries reported during 2024
Salary details
The average Data Analyst salary lies between USD 40,000 and USD 68,750 in the United Kingdom. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- Data Analyst
- Experience
- all levels
- Region
- United Kingdom
- Salary year
- 2024
- Sample size
- 215
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Data Analyst roles
The three most common job tag items assiciated with Data Analyst job listings are SQL, Python and Data analysis. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
SQL | 9348 jobs Python | 6814 jobs Data analysis | 6024 jobs Statistics | 5770 jobs Excel | 5550 jobs Tableau | 5354 jobs Power BI | 4933 jobs Engineering | 4555 jobs Data Analytics | 3768 jobs Computer Science | 3541 jobs R | 3513 jobs Research | 3347 jobs Data visualization | 3292 jobs Mathematics | 2922 jobs Finance | 2886 jobs Data quality | 2587 jobs Testing | 2468 jobs Business Intelligence | 2306 jobs Data management | 2227 jobs Security | 2043 jobsTop 20 Job Perks/Benefits for Data Analyst roles
The three most common job benefits and perks assiciated with Data Analyst job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:
Career development | 7617 jobs Health care | 4965 jobs Flex hours | 3822 jobs Competitive pay | 2815 jobs Startup environment | 2600 jobs Team events | 2539 jobs Equity / stock options | 2491 jobs Insurance | 2267 jobs Flex vacation | 2180 jobs Salary bonus | 1956 jobs Parental leave | 1763 jobs Medical leave | 1691 jobs Wellness | 1383 jobs 401(k) matching | 1204 jobs Fitness / gym | 495 jobs Home office stipend | 454 jobs Transparency | 434 jobs Gear | 367 jobs Unlimited paid time off | 365 jobs Relocation support | 331 jobsSalary Composition
In the United Kingdom, the salary composition for a Data Analyst in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. The base salary can vary significantly depending on the region, industry, and company size. For instance, positions in London or within the finance and tech industries often offer higher base salaries compared to other regions or sectors.
In addition to the base salary, many companies offer performance-based bonuses. These bonuses can range from 5% to 20% of the base salary, depending on the company's performance and the individual's contribution. Larger companies or those in competitive industries may offer more substantial bonuses. Additional remuneration might include stock options, especially in tech startups, or other benefits such as health insurance, pension contributions, and professional development allowances.
Increasing Salary
To increase your salary from a Data Analyst position, consider the following steps:
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Skill Enhancement: Acquire advanced skills in machine learning, data engineering, or data visualization tools. Proficiency in programming languages like Python or R, and experience with big data technologies such as Hadoop or Spark, can make you more valuable.
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Advanced Education: Pursuing a master's degree or specialized certifications in data science or AI can open up higher-paying opportunities.
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Networking and Industry Engagement: Attend industry conferences, join professional groups, and engage in online forums to expand your network and learn about new opportunities.
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Transition to Specialized Roles: Consider moving into more specialized roles such as Data Scientist, Machine Learning Engineer, or AI Specialist, which typically offer higher salaries.
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Leadership and Management: Developing leadership skills and moving into managerial positions can significantly increase your earning potential.
Educational Requirements
Most Data Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Mathematics, Statistics, or Engineering. Some positions may prefer or require a master's degree, especially for more advanced roles. A strong foundation in quantitative analysis, statistical methods, and programming is essential.
Helpful Certifications
Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- IBM Data Science Professional Certificate
- Certified Analytics Professional (CAP)
- AWS Certified Machine Learning – Specialty
These certifications can validate your skills in data analysis, machine learning, and cloud-based data solutions.
Experience Requirements
Typically, entry-level Data Analyst positions require 1-3 years of experience in data analysis or a related field. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and statistical software is often expected. For more advanced roles, 3-5 years of experience, including project management and team collaboration, may be required.
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