Salary for Senior-level / Expert Analytics Engineer in United Kingdom during 2024

Salary details

The average senior-level / expert Analytics Engineer salary lies between USD 75,000 and USD 104,220 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

Top 20 Job Tags for Senior-level / Expert Analytics Engineer roles

The three most common job tag items assiciated with senior-level / expert Analytics Engineer job listings are SQL, Engineering and Python. 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 | 802 jobs Engineering | 744 jobs Python | 665 jobs dbt | 501 jobs Pipelines | 459 jobs ETL | 375 jobs Looker | 370 jobs Snowflake | 366 jobs Tableau | 351 jobs Data quality | 333 jobs Data pipelines | 313 jobs Airflow | 307 jobs Data Analytics | 298 jobs Testing | 298 jobs AWS | 294 jobs Data warehouse | 289 jobs Computer Science | 288 jobs Architecture | 265 jobs Business Intelligence | 237 jobs Machine Learning | 221 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Analytics Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Analytics Engineer 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 | 605 jobs Health care | 386 jobs Flex hours | 366 jobs Startup environment | 313 jobs Equity / stock options | 310 jobs Flex vacation | 244 jobs Competitive pay | 240 jobs Team events | 211 jobs Parental leave | 205 jobs Salary bonus | 155 jobs Insurance | 140 jobs Medical leave | 134 jobs Wellness | 126 jobs 401(k) matching | 118 jobs Unlimited paid time off | 102 jobs Home office stipend | 92 jobs Fitness / gym | 75 jobs Gear | 50 jobs Transparency | 37 jobs Conferences | 35 jobs

Salary Composition for Senior-level Analytics Engineer Roles

In the United Kingdom, the salary composition for a Senior-level or Expert Analytics Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary package is divided into three main components:

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation. In tech hubs like London, the base salary might be higher compared to other regions due to the cost of living and competitive job market.

• Bonus: Bonuses can be performance-based or company-wide and are often a percentage of the base salary. In larger tech companies or financial institutions, bonuses can be substantial, reflecting the company's profitability and individual performance.

• Additional Remuneration: This includes stock options, profit-sharing, and other incentives. Startups and tech companies often offer stock options as part of the compensation package, which can be lucrative if the company performs well.

Steps to Increase Salary from This Position

To increase your salary beyond the median level, consider the following strategies:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML or data science, such as deep learning, natural language processing, or big data analytics, which are in high demand.

• Pursue Leadership Roles: Transitioning into managerial or leadership positions can significantly boost your earning potential. This might involve leading a team of data scientists or managing large-scale projects.

• Expand Your Network: Engage with industry professionals through conferences, workshops, and online platforms. Networking can open up opportunities for higher-paying roles.

• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML. Advanced certifications or courses can enhance your skill set and make you more valuable to employers.

Educational Requirements

For a Senior-level Analytics Engineer role, the most common educational requirement is a bachelor's degree in a relevant field such as Computer Science, Data Science, Mathematics, or Statistics. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for expert-level positions. Advanced degrees often provide a deeper understanding of complex algorithms and data structures, which are crucial for high-level analytics work.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials and demonstrate your expertise:

• Certified Analytics Professional (CAP): This certification is recognized globally and covers a broad range of analytics skills.

• Google Professional Data Engineer: This certification is valuable for those working with Google Cloud Platform and focuses on designing, building, and operationalizing data processing systems.

• AWS Certified Machine Learning – Specialty: For those working with AWS, this certification validates your ability to design, implement, and maintain machine learning solutions.

Required Experience

Typically, a Senior-level Analytics Engineer is expected to have at least 5-10 years of experience in data science, analytics, or a related field. This experience should include hands-on work with data analysis, machine learning models, and data engineering. Experience in leading projects or teams is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively.

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