Salary for Entry-level / Junior Data Analyst in United Kingdom during 2023
💰 The median Salary for Entry-level / Junior Data Analyst in United Kingdom during 2023 is USD 51,676
✏️ This salary info is based on 24 individual salaries reported during 2023
Salary details
The average entry-level / junior Data Analyst salary lies between USD 33,220 and USD 67,672 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.
- Job title
- Data Analyst
- Experience
- Entry-level / Junior
- Region
- United Kingdom
- Salary year
- 2023
- Sample size
- 24
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- Median
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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:Salary trend
Top 20 Job Tags for Entry-level / Junior Data Analyst roles
The three most common job tag items assiciated with entry-level / junior Data Analyst job listings are SQL, Python and Excel. 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 | 927 jobs Python | 681 jobs Excel | 664 jobs Power BI | 515 jobs Tableau | 483 jobs Data analysis | 481 jobs Statistics | 479 jobs Engineering | 390 jobs Mathematics | 339 jobs R | 335 jobs Research | 307 jobs Computer Science | 304 jobs Data Analytics | 297 jobs Finance | 269 jobs Data visualization | 257 jobs Business Intelligence | 217 jobs Data quality | 211 jobs Testing | 197 jobs Agile | 189 jobs KPIs | 182 jobsTop 20 Job Perks/Benefits for Entry-level / Junior Data Analyst roles
The three most common job benefits and perks assiciated with entry-level / junior Data Analyst job listings are Career development, Flex hours 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 | 743 jobs Flex hours | 372 jobs Health care | 338 jobs Startup environment | 323 jobs Team events | 314 jobs Flex vacation | 220 jobs Competitive pay | 213 jobs Insurance | 184 jobs Salary bonus | 177 jobs Equity / stock options | 148 jobs Parental leave | 133 jobs Medical leave | 80 jobs 401(k) matching | 67 jobs Yoga | 66 jobs Wellness | 63 jobs Relocation support | 53 jobs Fitness / gym | 50 jobs Home office stipend | 43 jobs Lunch / meals | 36 jobs Gear | 36 jobsSalary Composition
In the United Kingdom, the salary for an entry-level or junior data analyst typically consists of a fixed base salary, which forms the bulk of the compensation package. This base salary can vary significantly depending on the region, industry, and company size. For instance, positions in London or other major cities often offer higher base salaries to account for the higher cost of living. In addition to the base salary, some companies may offer performance-based bonuses, which can range from 5% to 15% of the annual salary. Larger companies or those in competitive industries like finance or tech might also provide additional remuneration in the form of stock options, profit-sharing, or other incentives. However, these are less common for entry-level positions compared to more senior roles.
Steps to Increase Salary
To increase your salary from an entry-level position, consider the following strategies:
- Skill Development: Continuously improve your technical skills, particularly in programming languages like Python or R, and data visualization tools such as Tableau or Power BI.
- Advanced Education: Pursuing further education, such as a master's degree in data science or a related field, can make you more competitive for higher-paying roles.
- Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
- Networking: Build a professional network through industry events, online forums, and social media platforms like LinkedIn to learn about new opportunities and trends.
- Performance Excellence: Consistently exceed performance expectations in your current role to position yourself for promotions or salary negotiations.
Educational Requirements
Most entry-level data analyst positions require at least a bachelor's degree in a related field such as mathematics, statistics, computer science, or economics. Some employers may also consider candidates with degrees in other disciplines if they have relevant skills or experience. A strong foundation in quantitative analysis and data manipulation is essential, and coursework in data science, machine learning, or business analytics can be particularly beneficial.
Helpful Certifications
While not always mandatory, certain certifications can enhance your resume and demonstrate your expertise to potential employers. Some valuable certifications include:
- Microsoft Certified: Data Analyst Associate
- Google Data Analytics Professional Certificate
- IBM Data Analyst Professional Certificate
- SAS Certified Data Scientist
- Tableau Desktop Specialist
These certifications can provide you with a competitive edge by validating your skills in data analysis and visualization.
Experience Requirements
For an entry-level data analyst role, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your studies. Experience with data analysis tools and software, as well as a demonstrated ability to work with large datasets, is often required. While specific experience requirements can vary, having 1-2 years of relevant experience can be advantageous.
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