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 62,548 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. 10, 2024

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 | 6789 jobs Python | 5610 jobs Excel | 4621 jobs Statistics | 4287 jobs Data analysis | 4231 jobs Power BI | 3913 jobs Tableau | 3520 jobs Engineering | 3486 jobs Research | 3082 jobs Computer Science | 2905 jobs R | 2849 jobs Data Analytics | 2614 jobs Finance | 2407 jobs Mathematics | 2251 jobs Data visualization | 2136 jobs Data quality | 2068 jobs Data management | 1999 jobs Business Intelligence | 1947 jobs Testing | 1936 jobs Machine Learning | 1826 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 | 6180 jobs Health care | 3646 jobs Flex hours | 3020 jobs Competitive pay | 2093 jobs Team events | 1969 jobs Startup environment | 1850 jobs Equity / stock options | 1807 jobs Insurance | 1679 jobs Flex vacation | 1587 jobs Salary bonus | 1408 jobs Parental leave | 1151 jobs Medical leave | 1151 jobs Wellness | 1039 jobs 401(k) matching | 723 jobs Fitness / gym | 325 jobs Relocation support | 295 jobs Transparency | 260 jobs Home office stipend | 258 jobs Flexible spending account | 247 jobs Gear | 226 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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