Salary for Mid-level / Intermediate Data Analyst in United Kingdom during 2023

Salary details

The average mid-level / intermediate Data Analyst salary lies between USD 55,368 and USD 86,128 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 2023 and the number of open jobs that where associated with them during that period:

SQL | 662 jobs Python | 453 jobs Data analysis | 445 jobs Tableau | 409 jobs Statistics | 406 jobs Power BI | 337 jobs Excel | 335 jobs Engineering | 323 jobs Computer Science | 265 jobs Mathematics | 254 jobs Data Analytics | 226 jobs Research | 223 jobs Data visualization | 215 jobs R | 204 jobs Finance | 180 jobs Business Intelligence | 161 jobs Data quality | 151 jobs Machine Learning | 150 jobs Testing | 149 jobs Economics | 139 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 2023 and the number of open jobs that where offering them during that period:

Career development | 471 jobs Health care | 369 jobs Flex hours | 260 jobs Startup environment | 250 jobs Competitive pay | 230 jobs Team events | 183 jobs Flex vacation | 173 jobs Insurance | 153 jobs Parental leave | 134 jobs Salary bonus | 126 jobs Equity / stock options | 104 jobs Medical leave | 98 jobs 401(k) matching | 94 jobs Gear | 64 jobs Wellness | 57 jobs Fitness / gym | 50 jobs Home office stipend | 49 jobs Unlimited paid time off | 37 jobs Relocation support | 19 jobs Yoga | 17 jobs

Salary Composition for a Mid-level Data Analyst in the UK

The salary for a mid-level data analyst in the UK typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most substantial component, often accounting for 70-85% of the total compensation package. Bonuses can vary significantly depending on the industry and company performance, ranging from 5-20% of the base salary. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, pension contributions, and travel allowances.

Regionally, salaries can differ, with London and the South East generally offering higher compensation due to the higher cost of living and concentration of tech companies. Industry-wise, sectors like finance, technology, and consulting tend to offer more competitive packages compared to public sector roles. Company size also plays a role; larger companies often provide more comprehensive benefits and higher bonuses, while smaller companies might offer equity or stock options as part of the compensation.

Steps to Increase Salary from a Mid-level Position

To increase your salary from a mid-level data analyst position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills, particularly in high-demand areas like machine learning, data engineering, or advanced statistical analysis. Proficiency in tools like Python, R, SQL, and data visualization software can make you more valuable.

• Specialization: Develop expertise in a niche area within data science, such as natural language processing, computer vision, or big data technologies. Specialization can make you indispensable and justify a higher salary.

• Networking and Professional Development: Attend industry conferences, join professional organizations, and engage in networking to increase your visibility and learn about new opportunities.

• Advanced Education: Consider pursuing a master's degree or other advanced qualifications in data science or a related field to enhance your credentials.

• Performance and Negotiation: Consistently demonstrate your value through performance and be prepared to negotiate your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements for a Mid-level Data Analyst

Most mid-level data analyst positions require at least a bachelor's degree in a relevant field such as mathematics, statistics, computer science, or economics. Some roles may prefer candidates with a master's degree, especially in data science or analytics. A strong foundation in quantitative skills and experience with data analysis tools is essential.

Helpful Certifications for Data Analysts

Certifications can bolster your resume and demonstrate your commitment to the field. Some valuable certifications include:

• Microsoft Certified: Data Analyst Associate
• Google Data Analytics Professional Certificate
• SAS Certified Data Scientist
• IBM Data Science Professional Certificate
• Certified Analytics Professional (CAP)

These certifications can provide you with a competitive edge and validate your skills to potential employers.

Experience Required for Mid-level Data Analyst Roles

Typically, mid-level data analyst roles require 2-5 years of experience in data analysis or a related field. This experience should include hands-on work with data manipulation, statistical analysis, and data visualization. Experience with specific tools and technologies relevant to the role, such as SQL, Python, R, or Tableau, is often required.

Related salaries

Want to contribute?