Business Intelligence Engineer Salary in United Kingdom during 2023

Salary details

The average Business Intelligence Engineer salary lies between USD 43,064 and USD 49,216 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 Business Intelligence Engineer roles

The three most common job tag items assiciated with Business Intelligence Engineer job listings are Business Intelligence, SQL 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:

Business Intelligence | 199 jobs SQL | 186 jobs Python | 148 jobs Tableau | 148 jobs ETL | 121 jobs Engineering | 119 jobs Statistics | 92 jobs Computer Science | 89 jobs Pipelines | 88 jobs Data visualization | 87 jobs AWS | 85 jobs Data warehouse | 75 jobs Architecture | 72 jobs Redshift | 71 jobs R | 65 jobs Power BI | 65 jobs Finance | 61 jobs Looker | 60 jobs QuickSight | 59 jobs Mathematics | 55 jobs

Top 20 Job Perks/Benefits for Business Intelligence Engineer roles

The three most common job benefits and perks assiciated with Business Intelligence Engineer job listings are Career development, Equity / stock options and Health care. 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 | 148 jobs Equity / stock options | 83 jobs Health care | 67 jobs Flex hours | 52 jobs Parental leave | 46 jobs Flex vacation | 43 jobs Insurance | 40 jobs Salary bonus | 40 jobs Startup environment | 38 jobs Team events | 35 jobs Wellness | 32 jobs Medical leave | 27 jobs Competitive pay | 23 jobs Signing bonus | 23 jobs Flexible spending account | 17 jobs Home office stipend | 12 jobs 401(k) matching | 7 jobs Gear | 6 jobs Conferences | 6 jobs Fitness / gym | 4 jobs

Salary Composition

In the United Kingdom, the salary composition for a Business Intelligence Engineer 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. Larger companies or those in high-demand industries like finance or technology may offer additional remuneration in the form of stock options, profit-sharing, or other incentives. In regions like London, where the cost of living is higher, salaries tend to be more competitive compared to other parts of the UK.

Steps to Increase Salary

To increase your salary from the position of a Business Intelligence Engineer, consider the following strategies:

• Skill Enhancement: Continuously update your technical skills, especially in emerging AI/ML technologies and tools. Proficiency in programming languages like Python or R, and expertise in data visualization tools can be advantageous.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or AI can make you more competitive.
• Networking: Engage with professional networks and communities to learn about new opportunities and industry trends.
• Certifications: Obtain relevant certifications that can validate your skills and make you stand out.
• Leadership Roles: Seek opportunities to lead projects or teams, which can demonstrate your capability for higher-level positions.

Educational Requirements

Most Business Intelligence Engineer roles require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or Business Analytics. Some positions may prefer candidates with a master's degree, especially for roles that involve complex data analysis or machine learning tasks. A strong foundation in mathematics and statistics is also beneficial.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to the field. Some common and helpful certifications include:

• Microsoft Certified: Data Analyst Associate
• Tableau Desktop Specialist
• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer
• Certified Business Intelligence Professional (CBIP)

These certifications can provide you with a competitive edge and are often recognized by employers.

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data warehousing, ETL processes, and data visualization tools is often required. Familiarity with AI/ML concepts and tools can be a significant advantage, especially for roles that involve predictive analytics or advanced data modeling.

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