Salary for Senior-level / Expert Data Analyst in United Kingdom during 2024

Salary details

The average senior-level / expert Data Analyst salary lies between USD 64,625 and USD 105,000 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: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Data Analyst roles

The three most common job tag items assiciated with senior-level / expert Data 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 | 3315 jobs Python | 2392 jobs Statistics | 2092 jobs Tableau | 2058 jobs Data analysis | 1922 jobs Engineering | 1713 jobs Excel | 1439 jobs Power BI | 1407 jobs Data Analytics | 1346 jobs R | 1242 jobs Data visualization | 1209 jobs Computer Science | 1112 jobs Finance | 1055 jobs Mathematics | 1030 jobs Research | 1017 jobs Testing | 1005 jobs Data quality | 911 jobs Business Intelligence | 889 jobs Machine Learning | 749 jobs Looker | 722 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 2543 jobs Health care | 1768 jobs Flex hours | 1253 jobs Competitive pay | 1008 jobs Equity / stock options | 994 jobs Startup environment | 971 jobs Team events | 890 jobs Flex vacation | 830 jobs Insurance | 816 jobs Parental leave | 713 jobs Salary bonus | 702 jobs Medical leave | 649 jobs Wellness | 506 jobs 401(k) matching | 493 jobs Fitness / gym | 209 jobs Transparency | 195 jobs Home office stipend | 176 jobs Unlimited paid time off | 153 jobs Gear | 151 jobs Flexible spending account | 114 jobs

Salary Composition

In the United Kingdom, the salary composition for a Senior-level or Expert Data Analyst in AI/ML/Data Science typically includes a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5% to 10%.

The composition can vary based on the region, with London generally offering higher salaries due to the cost of living and demand for talent. Industry also plays a role; for instance, tech companies or financial institutions might offer more competitive packages compared to smaller firms or non-tech industries. Larger companies often provide more comprehensive benefits and bonuses compared to startups or SMEs.

Increasing Salary

To increase your salary further from a Senior-level Data Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML, such as deep learning frameworks, cloud computing, and big data technologies.
• Advanced Education: Pursue advanced degrees or certifications in data science, machine learning, or related fields.
• Leadership Roles: Transition into leadership or managerial roles, such as Data Science Manager or Head of Data Analytics, which typically offer higher compensation.
• Industry Shift: Consider moving to industries with higher pay scales, such as finance, healthcare, or tech.
• Networking: Engage in professional networking to explore opportunities in higher-paying companies or roles.

Educational Requirements

Most Senior-level Data Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data modeling and machine learning tasks. Advanced degrees can provide a competitive edge and are sometimes necessary for more specialized or research-oriented positions.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some common and helpful certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and knowledge, making you more attractive to potential employers.

Required Experience

Typically, a Senior-level Data Analyst role requires 5 to 10 years of experience in data analysis, with a strong background in statistical analysis, data modeling, and machine learning. Experience in handling large datasets, proficiency in programming languages like Python or R, and familiarity with data visualization tools are often essential. Experience in leading projects or teams can also be beneficial.

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