BI Developer Salary in United Kingdom during 2023
💰 The median BI Developer Salary in United Kingdom during 2023 is USD 80,345
✏️ This salary info is based on 6 individual salaries reported during 2023
Salary details
The average BI Developer salary lies between USD 62,442 and USD 92,280 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
- BI Developer
- Experience
- all levels
- Region
- United Kingdom
- Salary year
- 2023
- Sample size
- 6
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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 BI Developer roles
The three most common job tag items assiciated with BI Developer job listings are SQL, Power BI and Business Intelligence. 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 | 238 jobs Power BI | 194 jobs Business Intelligence | 135 jobs ETL | 119 jobs Tableau | 106 jobs Agile | 91 jobs Azure | 84 jobs Data warehouse | 79 jobs Computer Science | 78 jobs Security | 77 jobs Engineering | 76 jobs Python | 73 jobs Data visualization | 71 jobs Data analysis | 68 jobs Architecture | 61 jobs Data Analytics | 51 jobs Data Warehousing | 49 jobs Testing | 48 jobs Excel | 44 jobs SSIS | 40 jobsTop 20 Job Perks/Benefits for BI Developer roles
The three most common job benefits and perks assiciated with BI Developer 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 | 128 jobs Health care | 74 jobs Startup environment | 47 jobs Flex hours | 38 jobs Competitive pay | 34 jobs Team events | 32 jobs Insurance | 21 jobs Salary bonus | 16 jobs Equity / stock options | 15 jobs 401(k) matching | 13 jobs Medical leave | 13 jobs Parental leave | 10 jobs Relocation support | 9 jobs Flex vacation | 7 jobs Fitness / gym | 7 jobs Home office stipend | 7 jobs Wellness | 6 jobs Conferences | 6 jobs Flat hierarchy | 4 jobs Gear | 4 jobsSalary Composition
In the United Kingdom, the salary composition for a BI Developer in the AI/ML/Data Science field can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the base salary, depending on the company's performance and individual contributions. Additional remuneration may include stock options, especially in tech companies or startups, and other benefits such as health insurance, pension contributions, and professional development allowances. In larger metropolitan areas like London, salaries tend to be higher to account for the increased cost of living, while industries such as finance and technology often offer more competitive compensation packages.
Increasing Salary
To increase your salary from the current position, consider the following steps:
- Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging AI/ML technologies and tools. Proficiency in programming languages like Python, R, and SQL, as well as experience with machine learning frameworks such as TensorFlow or PyTorch, can be advantageous.
- Advanced Education: Pursuing further education, such as a master's degree in data science, AI, or a related field, can make you more competitive and open up higher-paying opportunities.
- Networking: Engage with professional networks and communities in the AI/ML space. Attending conferences, meetups, and workshops can help you stay informed about industry trends and connect with potential employers.
- Leadership Roles: Seek opportunities to take on leadership roles or manage projects, as these positions often come with higher compensation.
- Industry Transition: Consider transitioning to industries known for higher pay scales, such as finance, healthcare, or technology.
Educational Requirements
Most BI Developer roles in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, data science, mathematics, or engineering. However, a master's degree is increasingly preferred, especially for roles that involve complex data analysis and machine learning model development. A strong foundation in statistics, data analysis, and programming is essential.
Helpful Certifications
Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- AWS Certified Machine Learning – Specialty
- Certified Analytics Professional (CAP)
- SAS Certified AI & Machine Learning Professional
These certifications can validate your skills in specific tools and platforms, making you more attractive to employers.
Experience Requirements
Typically, employers look for candidates with at least 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools like Tableau or Power BI, as well as hands-on experience with data warehousing and ETL processes, is often required. Experience in AI/ML projects, even if not extensive, can be a significant advantage.
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