Salary for Senior-level / Expert Data Analyst in United Kingdom during 2024
💰 The median Salary for Senior-level / Expert Data Analyst in United Kingdom during 2024 is USD 75,200
✏️ This salary info is based on 60 individual salaries reported during 2024
Salary details
The average senior-level / expert Data Analyst salary lies between USD 60,437 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.
- Job title
- Data Analyst
- Experience
- Senior-level / Expert
- Region
- United Kingdom
- Salary year
- 2024
- Sample size
- 60
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- Median
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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 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 | 3735 jobs Python | 2685 jobs Statistics | 2334 jobs Tableau | 2291 jobs Data analysis | 2207 jobs Engineering | 1889 jobs Power BI | 1612 jobs Excel | 1597 jobs Data Analytics | 1505 jobs R | 1399 jobs Data visualization | 1371 jobs Computer Science | 1263 jobs Finance | 1176 jobs Mathematics | 1139 jobs Testing | 1132 jobs Research | 1122 jobs Data quality | 1038 jobs Business Intelligence | 980 jobs Machine Learning | 819 jobs Looker | 808 jobsTop 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 | 2855 jobs Health care | 1979 jobs Flex hours | 1395 jobs Competitive pay | 1143 jobs Equity / stock options | 1093 jobs Startup environment | 1076 jobs Team events | 993 jobs Flex vacation | 942 jobs Insurance | 912 jobs Parental leave | 802 jobs Salary bonus | 759 jobs Medical leave | 736 jobs Wellness | 555 jobs 401(k) matching | 552 jobs Fitness / gym | 234 jobs Transparency | 227 jobs Home office stipend | 195 jobs Gear | 177 jobs Unlimited paid time off | 164 jobs Flexible spending account | 138 jobsSalary 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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