Salary for Entry-level / Junior Analyst in United Kingdom during 2024

Salary details

The average entry-level / junior Analyst salary lies between USD 43,750 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: Jan. 26, 2025

Top 20 Job Tags for Entry-level / Junior Analyst roles

The three most common job tag items assiciated with entry-level / junior Analyst job listings are SQL, Python and Excel. 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 | 8041 jobs Python | 6691 jobs Excel | 5503 jobs Statistics | 5182 jobs Data analysis | 5130 jobs Power BI | 4757 jobs Engineering | 4172 jobs Tableau | 4164 jobs Research | 3588 jobs R | 3446 jobs Computer Science | 3434 jobs Data Analytics | 3089 jobs Finance | 2861 jobs Mathematics | 2709 jobs Data visualization | 2611 jobs Data quality | 2428 jobs Data management | 2377 jobs Testing | 2302 jobs Business Intelligence | 2217 jobs Machine Learning | 2145 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Analyst roles

The three most common job benefits and perks assiciated with entry-level / junior 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 | 7363 jobs Health care | 4317 jobs Flex hours | 3558 jobs Competitive pay | 2471 jobs Team events | 2311 jobs Equity / stock options | 2186 jobs Startup environment | 2131 jobs Insurance | 2009 jobs Flex vacation | 1871 jobs Salary bonus | 1700 jobs Parental leave | 1384 jobs Medical leave | 1378 jobs Wellness | 1203 jobs 401(k) matching | 840 jobs Fitness / gym | 388 jobs Relocation support | 362 jobs Transparency | 331 jobs Home office stipend | 307 jobs Flexible spending account | 299 jobs Gear | 273 jobs

Salary Composition

In the United Kingdom, the salary for an entry-level or junior analyst role in AI/ML/Data Science typically consists of a fixed base salary, which forms the majority of the compensation package. The base salary is often complemented by a performance-based bonus, which can vary significantly depending on the company and industry. For instance, tech companies and financial institutions might offer more substantial bonuses compared to smaller startups or non-profit organizations. Additionally, some companies may provide stock options or equity, especially in the tech sector, as part of the remuneration package. The size of the company can also influence the salary composition, with larger firms generally offering more comprehensive benefits and bonuses.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, particularly in programming languages like Python and R, and tools like TensorFlow and PyTorch.
• Specialization: Develop expertise in a niche area within AI/ML, such as natural language processing, computer vision, or reinforcement learning.
• Networking: Build a strong professional network by attending industry conferences, meetups, and workshops.
• Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications.
• Performance Excellence: Consistently deliver high-quality work and exceed performance expectations to position yourself for promotions and salary increases.

Educational Requirements

Most entry-level positions in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, data science, mathematics, statistics, or engineering. Some employers may prefer candidates with a master's degree, especially for roles that demand a deeper understanding of complex algorithms and data analysis techniques.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials and demonstrate your commitment to the field. Some valuable certifications include:

• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications can help you stand out in a competitive job market and may lead to better job opportunities and salary prospects.

Experience Requirements

For entry-level roles, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your academic studies. Demonstrating hands-on experience with data analysis, machine learning models, and programming is crucial. While extensive professional experience is not expected, showcasing a portfolio of projects or contributions to open-source initiatives can be advantageous.

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