Analyst Salary in United Kingdom during 2024

Salary details

The average Analyst salary lies between USD 45,150 and USD 63,825 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.

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: Dec. 22, 2024

Top 20 Job Tags for Analyst roles

The three most common job tag items assiciated with Analyst job listings are SQL, Python and Statistics. 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 | 16933 jobs Python | 13987 jobs Statistics | 11204 jobs Data analysis | 10489 jobs Excel | 10091 jobs Tableau | 9431 jobs Engineering | 9062 jobs Power BI | 8802 jobs R | 7159 jobs Research | 7052 jobs Computer Science | 6984 jobs Data Analytics | 6444 jobs Finance | 6203 jobs Mathematics | 5887 jobs Data visualization | 5834 jobs Testing | 5190 jobs Data quality | 5078 jobs Business Intelligence | 4750 jobs Machine Learning | 4660 jobs Data management | 4577 jobs

Top 20 Job Perks/Benefits for Analyst roles

The three most common job benefits and perks assiciated with 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 | 14853 jobs Health care | 9456 jobs Flex hours | 6869 jobs Competitive pay | 5675 jobs Equity / stock options | 4799 jobs Team events | 4642 jobs Startup environment | 4634 jobs Insurance | 4391 jobs Flex vacation | 3968 jobs Salary bonus | 3570 jobs Medical leave | 3324 jobs Parental leave | 3254 jobs Wellness | 2830 jobs 401(k) matching | 2124 jobs Transparency | 935 jobs Fitness / gym | 850 jobs Home office stipend | 712 jobs Relocation support | 698 jobs Gear | 612 jobs Flexible spending account | 610 jobs

Salary Composition

In the United Kingdom, the salary composition for an AI/ML/Data Science Analyst can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In addition to the base salary, many companies offer performance-based bonuses, which 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 high-demand industries like finance or technology 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 the position of an AI/ML/Data Science Analyst, consider the following steps:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging technologies and tools relevant to AI and data science.
• Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications.
• Networking: Build a strong professional network within the industry to learn about new opportunities and gain insights into salary trends.
• Performance Excellence: Consistently demonstrate high performance and take on challenging projects that showcase your capabilities.
• Negotiation: When the opportunity arises, negotiate for higher pay by leveraging your achievements and market research.

Educational Requirements

Most AI/ML/Data Science Analyst positions require at least a bachelor's degree in a relevant field such as computer science, mathematics, statistics, or engineering. A strong foundation in these areas is crucial for understanding the complex algorithms and data structures used in AI and machine learning. Some employers may prefer candidates with a master's degree, especially for more advanced roles or in competitive industries.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Data Science Council of America (DASCA) Certifications

These certifications can provide a competitive edge by validating your skills and knowledge in specific areas of AI and data science.

Experience Requirements

Typically, employers look for candidates with at least 1-3 years of experience in data analysis, machine learning, or a related field. This experience should include hands-on work with data manipulation, statistical analysis, and the use of machine learning algorithms. Experience with programming languages such as Python or R, as well as familiarity with data visualization tools, is often required.

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