Salary for Senior-level / Expert Data Analyst in United Kingdom during 2023

Salary details

The average senior-level / expert Data Analyst salary lies between USD 81,800 and USD 134,200 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. 24, 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 Tableau. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

SQL | 1947 jobs Python | 1386 jobs Tableau | 1187 jobs Statistics | 1121 jobs Data analysis | 950 jobs Engineering | 904 jobs R | 787 jobs Power BI | 756 jobs Excel | 740 jobs Data visualization | 678 jobs Data Analytics | 660 jobs Mathematics | 642 jobs Computer Science | 589 jobs Looker | 563 jobs Finance | 551 jobs Research | 494 jobs Business Intelligence | 494 jobs Machine Learning | 444 jobs KPIs | 443 jobs Testing | 442 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 Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 1394 jobs Health care | 872 jobs Startup environment | 663 jobs Flex hours | 653 jobs Equity / stock options | 566 jobs Competitive pay | 536 jobs Flex vacation | 520 jobs Team events | 469 jobs Salary bonus | 437 jobs Insurance | 416 jobs Parental leave | 408 jobs Medical leave | 297 jobs 401(k) matching | 256 jobs Wellness | 227 jobs Home office stipend | 182 jobs Fitness / gym | 169 jobs Gear | 142 jobs Unlimited paid time off | 142 jobs Relocation support | 69 jobs Transparency | 61 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 combination of 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 several factors: - Region: Salaries in London and other major cities tend to be higher due to the cost of living and demand for skilled professionals. - Industry: Tech companies and financial services often offer higher bonuses and stock options compared to other industries. - Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer equity as a significant part of the compensation package.

Increasing Salary

To increase your salary further from a Senior-level Data Analyst position, consider the following strategies: - Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand. - Pursue Leadership Roles: Transition into roles such as Data Science Manager or Lead Data Scientist, which typically offer higher salaries. - Expand Your Skill Set: Acquire skills in adjacent areas like data engineering, cloud computing, or big data technologies to increase your value. - Network and Build a Personal Brand: Attend industry conferences, contribute to open-source projects, and publish articles or research to enhance your visibility and reputation in the field.

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. Advanced degrees can provide a deeper understanding of theoretical concepts and practical applications, making candidates more competitive.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate expertise: - Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights. - Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure services to build and deploy machine learning models. - Google Professional Data Engineer: Demonstrates proficiency in designing and managing data processing systems on Google Cloud. - AWS Certified Machine Learning – Specialty: Validates expertise in building, training, and deploying machine learning models on AWS.

Experience Requirements

Typically, a Senior-level Data Analyst role requires 5 to 10 years of experience in data analysis, with a significant portion of that time spent working with AI/ML technologies. Experience in leading projects, mentoring junior analysts, and collaborating with cross-functional teams is often expected. Demonstrated success in delivering data-driven insights and solutions is crucial.

Related salaries

Want to contribute?