Salary for Mid-level / Intermediate Data Analyst in United Kingdom during 2024

Salary details

The average mid-level / intermediate Data Analyst salary lies between USD 41,280 and USD 62,500 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. 24, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Data Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Data Analyst job listings are SQL, Python and Data analysis. 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 | 1656 jobs Python | 1145 jobs Data analysis | 1136 jobs Statistics | 1072 jobs Excel | 1004 jobs Tableau | 969 jobs Power BI | 869 jobs Engineering | 814 jobs Computer Science | 707 jobs Data visualization | 654 jobs Data Analytics | 616 jobs Research | 574 jobs R | 573 jobs Mathematics | 567 jobs Finance | 490 jobs Data quality | 429 jobs Testing | 393 jobs Business Intelligence | 383 jobs Economics | 370 jobs KPIs | 343 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Analyst 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 | 1274 jobs Health care | 894 jobs Flex hours | 620 jobs Competitive pay | 522 jobs Startup environment | 436 jobs Equity / stock options | 424 jobs Insurance | 408 jobs Team events | 386 jobs Flex vacation | 378 jobs Salary bonus | 352 jobs Parental leave | 327 jobs Medical leave | 317 jobs Wellness | 262 jobs 401(k) matching | 247 jobs Home office stipend | 89 jobs Flexible spending account | 78 jobs Fitness / gym | 77 jobs Unlimited paid time off | 76 jobs Transparency | 75 jobs Gear | 71 jobs

Salary Composition

In the United Kingdom, the salary composition for a Mid-level Data Analyst in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and sometimes additional remuneration such as stock options or benefits. The fixed base salary is the most substantial part of the compensation package, often accounting for 70-85% of the total salary. Performance bonuses can vary significantly depending on the company and industry, ranging from 5-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can add another 5-10% to the total compensation. Regional differences also play a role; for instance, salaries in London are generally higher due to the cost of living and the concentration of tech companies.

Increasing Salary

To increase your salary from a Mid-level Data Analyst position, consider the following steps:

• Skill Enhancement: Acquire advanced skills in machine learning, deep learning, or data engineering. Proficiency in programming languages like Python or R, and tools like TensorFlow or PyTorch, can make you more valuable.
• Specialization: Focus on a niche area within data science, such as natural language processing, computer vision, or big data analytics, which are in high demand.
• Networking: Attend industry conferences, workshops, and meetups to connect with professionals and learn about new opportunities.
• Advanced Education: Pursue a master's degree or relevant certifications to enhance your qualifications.
• Leadership Roles: Aim for roles that involve team leadership or project management, which often come with higher pay.

Educational Requirements

Most Mid-level Data Analyst positions require at least a bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Engineering. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data modeling or machine learning. A strong foundation in statistical analysis, data manipulation, and programming is essential.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Experience Requirements

Typically, a Mid-level Data Analyst role requires 2-5 years of experience in data analysis or a related field. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and statistical software is often expected. Practical experience in handling large datasets and applying machine learning algorithms is highly advantageous.

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