Analytics Engineer Salary in United Kingdom during 2022

Salary details

The average Analytics Engineer salary lies between USD 80,041 and USD 103,432 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: Oct. 28, 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 2022 and the number of open jobs that where associated with them during that period:

SQL | 306 jobs Engineering | 287 jobs Python | 258 jobs Pipelines | 177 jobs Looker | 150 jobs Tableau | 141 jobs ETL | 140 jobs Snowflake | 136 jobs Data Analytics | 128 jobs Data pipelines | 118 jobs Testing | 115 jobs Airflow | 109 jobs AWS | 105 jobs BigQuery | 96 jobs Agile | 91 jobs Redshift | 89 jobs Business Intelligence | 84 jobs Git | 82 jobs Computer Science | 81 jobs Data warehouse | 79 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 2022 and the number of open jobs that where offering them during that period:

Career development | 225 jobs Health care | 155 jobs Startup environment | 148 jobs Flex vacation | 124 jobs Flex hours | 120 jobs Team events | 106 jobs Equity / stock options | 93 jobs Competitive pay | 88 jobs Parental leave | 79 jobs Salary bonus | 62 jobs Medical leave | 57 jobs Insurance | 51 jobs 401(k) matching | 48 jobs Home office stipend | 48 jobs Unlimited paid time off | 39 jobs Wellness | 34 jobs Fitness / gym | 22 jobs Gear | 16 jobs Conferences | 13 jobs Yoga | 12 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 base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses can vary significantly depending on the company’s performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5-10%.

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 compensation compared to other sectors. - Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might provide equity options as part of the package.

Increasing Salary

To increase your salary from the position of an Analytics Engineer, consider the following steps: - Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data science. - Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive. - Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities. - Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and raises. - Negotiation: When offered a new position or during performance reviews, negotiate for a higher salary based on your contributions and market research.

Educational Requirements

Most Analytics Engineer roles require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering. A master's degree can be advantageous and is often preferred by employers, especially for more senior positions. Courses in machine learning, data analysis, and programming are particularly beneficial.

Helpful Certifications

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

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in data analysis, engineering, or a related field. Experience with data warehousing, ETL processes, and proficiency in programming languages such as Python, R, or SQL is often required. Familiarity with machine learning frameworks and cloud platforms can also be beneficial.

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