Insight Analyst Salary in United Kingdom during 2023

💰 The median Insight Analyst Salary in United Kingdom during 2023 is USD 47,370

✏️ This salary info is based on 8 individual salaries reported during 2023

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Salary details

The average Insight Analyst salary lies between USD 43,064 and USD 51,676 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
Insight Analyst
Experience
all levels
Region
United Kingdom
Salary year
2023
Sample size
8
Top 10%
$ 55,368
Top 25%
$ 51,676
Median
$ 47,370
Bottom 25%
$ 43,064
Bottom 10%
$ 30,760

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 Insight Analyst roles

The three most common job tag items assiciated with Insight Analyst job listings are SQL, Excel and Research. 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 | 89 jobs Excel | 73 jobs Research | 47 jobs Python | 45 jobs Data analysis | 42 jobs Statistics | 41 jobs Tableau | 40 jobs E-commerce | 35 jobs Testing | 33 jobs Power BI | 32 jobs CX | 32 jobs Economics | 27 jobs Business Intelligence | 20 jobs Data Analytics | 20 jobs Finance | 20 jobs R | 18 jobs KPIs | 17 jobs Market research | 17 jobs Engineering | 16 jobs BigQuery | 11 jobs

Top 20 Job Perks/Benefits for Insight Analyst roles

The three most common job benefits and perks assiciated with Insight Analyst job listings are Career development, Flex hours and Salary bonus. 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 | 97 jobs Flex hours | 66 jobs Salary bonus | 50 jobs Team events | 48 jobs Parental leave | 41 jobs Medical leave | 40 jobs Flex vacation | 37 jobs Startup environment | 31 jobs Health care | 29 jobs Competitive pay | 25 jobs Equity / stock options | 17 jobs Insurance | 14 jobs Fitness / gym | 8 jobs Wellness | 5 jobs Travel | 5 jobs Home office stipend | 5 jobs Snacks / Drinks | 4 jobs Yoga | 4 jobs Relocation support | 3 jobs Unlimited paid time off | 3 jobs

Salary Composition

In the United Kingdom, the salary composition for an Insight Analyst in AI/ML/Data Science typically includes 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 within large tech companies often offer higher base salaries compared to those in smaller cities or industries like non-profits. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the annual salary, depending on individual and company performance. Additional remuneration might include stock options, especially in tech startups, and benefits such as health insurance, pension contributions, and professional development allowances.

Increasing Salary

To increase your salary from the position of an Insight Analyst, consider the following steps:

  • Skill Enhancement: Continuously upgrade your skills in advanced data analytics, machine learning, and AI tools. Proficiency in programming languages like Python or R, and experience with data visualization tools like Tableau or Power BI, 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, which are in high demand.
  • Networking: Build a strong professional network by attending industry conferences, joining relevant online forums, and connecting with peers on platforms like LinkedIn.
  • Advanced Education: Pursue further education, such as a master's degree or a Ph.D., which can open doors to higher-level positions and salaries.
  • Leadership Skills: Develop leadership and project management skills to transition into roles like Data Science Manager or Lead Analyst, which typically offer higher compensation.

Educational Requirements

Most Insight Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Mathematics, Statistics, or Engineering. However, a master's degree is often preferred and can significantly enhance your job prospects and potential salary. Courses in data analysis, machine learning, and statistical modeling are particularly beneficial. Some roles may also require knowledge of business analytics or domain-specific expertise, depending on the industry.

Helpful Certificates

While not always mandatory, certain certifications can bolster your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

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

These certifications can provide a competitive edge and are often recognized by employers across various industries.

Required Experience

Typically, employers look for candidates with 2-5 years of experience in data analysis or a related field for an Insight Analyst role. This experience should include hands-on work with data manipulation, statistical analysis, and the use of machine learning algorithms. Experience with data visualization and reporting tools is also highly valued. Internships, co-op programs, or project work during your studies can count towards this experience.

Related salaries

Insight Analyst @ $ 47,431 (global) - Mid-level / Intermediate Details
Insight Analyst @ $ 47,431 (global) Details
Insight Analyst @ $ 47,370 (United Kingdom) - Mid-level / Intermediate Details

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