Analytics Engineer Salary in United Kingdom during 2023

Salary details

The average Analytics Engineer salary lies between USD 73,824 and USD 230,000 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 Analytics Engineer roles

The three most common job tag items assiciated with Analytics Engineer job listings are SQL, Engineering and Python. 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 | 549 jobs Engineering | 511 jobs Python | 438 jobs Pipelines | 321 jobs Snowflake | 262 jobs Looker | 244 jobs Tableau | 241 jobs ETL | 237 jobs Data Analytics | 227 jobs Airflow | 209 jobs Data pipelines | 209 jobs Data warehouse | 207 jobs Testing | 204 jobs dbt | 191 jobs Data quality | 188 jobs Architecture | 183 jobs Computer Science | 175 jobs AWS | 171 jobs Agile | 165 jobs BigQuery | 147 jobs

Top 20 Job Perks/Benefits for Analytics Engineer roles

The three most common job benefits and perks assiciated with Analytics Engineer 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 | 429 jobs Health care | 298 jobs Startup environment | 240 jobs Flex hours | 223 jobs Flex vacation | 202 jobs Team events | 196 jobs Equity / stock options | 188 jobs Salary bonus | 167 jobs Competitive pay | 157 jobs Insurance | 133 jobs Parental leave | 128 jobs Medical leave | 113 jobs Home office stipend | 85 jobs 401(k) matching | 74 jobs Fitness / gym | 74 jobs Wellness | 73 jobs Gear | 70 jobs Unlimited paid time off | 50 jobs Conferences | 34 jobs Relocation support | 26 jobs

Salary Composition

In the United Kingdom, the salary composition for an Analytics Engineer 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 several factors: - Region: Salaries in London and other major cities tend to be higher due to the cost of living and demand for talent. - 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 stock options, while startups might offer higher equity stakes in lieu of a higher base salary.

Increasing Salary

To increase your salary from the position of an Analytics Engineer, consider the following steps: - Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable. - Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities. - Leadership Roles: Transitioning into managerial or lead roles can significantly increase your earning potential. - Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries. - Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most Analytics Engineer positions require at least a bachelor's degree in a relevant field such as computer science, data science, mathematics, statistics, or engineering. A master's degree or Ph.D. can be advantageous and is often preferred for more advanced roles. Coursework in machine learning, data analysis, and programming is particularly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise: - Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights. - Google Professional Data Engineer: Demonstrates your ability to design, build, and manage data processing systems. - AWS Certified Machine Learning – Specialty: Shows proficiency in building, training, and deploying machine learning models on AWS. - Microsoft Certified: Azure Data Scientist Associate: Validates your skills in applying data science and machine learning techniques on Azure.

Required Experience

Typically, an Analytics Engineer role requires 2 to 5 years of experience in data analysis, engineering, or a related field. Experience with data modeling, ETL processes, and proficiency in programming languages such as Python, R, or SQL is often required. Familiarity with machine learning frameworks and cloud platforms is also beneficial.

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