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

Salary details

The average mid-level / intermediate 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.

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: Oct. 28, 2024

Top 20 Job Tags for Mid-level / Intermediate Insight Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Insight Analyst job listings are SQL, Power BI and Agile. 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 | 9 jobs Power BI | 6 jobs Agile | 6 jobs Python | 5 jobs Research | 5 jobs Consulting | 5 jobs Data analysis | 5 jobs Tableau | 4 jobs Statistics | 4 jobs Big Data | 3 jobs Open Source | 3 jobs Business Intelligence | 3 jobs Engineering | 3 jobs BigQuery | 3 jobs CX | 3 jobs Excel | 3 jobs Microservices | 3 jobs Jira | 3 jobs Data warehouse | 3 jobs JavaScript | 2 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Insight Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate Insight Analyst job listings are Career development, Team events and Parental leave. 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 | 10 jobs Team events | 6 jobs Parental leave | 4 jobs Startup environment | 3 jobs Flex hours | 2 jobs Health care | 2 jobs Unlimited paid time off | 2 jobs Flex vacation | 1 jobs Fitness / gym | 1 jobs Competitive pay | 1 jobs Snacks / Drinks | 1 jobs Medical leave | 1 jobs Salary bonus | 1 jobs

Salary Composition

In the United Kingdom, the salary for a Mid-level/Intermediate Insight Analyst in AI/ML/Data Science typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements, often ranging from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and benefits such as health insurance, pension contributions, and professional development allowances. The composition can vary by region, with London-based roles often offering higher salaries to account for the cost of living. Industry and company size also play a role; larger companies or those in high-demand sectors like finance or technology may offer more competitive packages.

Increasing Salary

To increase your salary from a Mid-level/Intermediate Insight Analyst position, consider the following steps:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in programming languages like Python or R, and tools like SQL, Tableau, or Power BI. Proficiency in machine learning frameworks such as TensorFlow or PyTorch can also be advantageous.

• Advanced Education: Pursuing further education, such as a master's degree in data science, AI, or a related field, can make you more competitive for higher-paying roles.

• Specialization: Developing expertise in a niche area, such as natural language processing, computer vision, or big data analytics, can make you more valuable to employers.

• Networking and Professional Visibility: Attend industry conferences, participate in online forums, and contribute to open-source projects to increase your professional visibility and network with potential employers.

• Leadership and Management Skills: Developing soft skills and gaining experience in project management or team leadership can open up opportunities for roles with greater responsibility and higher pay.

Educational Requirements

Most Mid-level/Intermediate Insight Analyst positions require at least a bachelor's degree in a relevant field such as computer science, mathematics, statistics, or engineering. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or machine learning tasks. A strong foundation in quantitative and analytical skills is essential, and coursework in data analysis, statistical modeling, and machine learning is highly beneficial.

Helpful Certificates

While not always mandatory, certain certifications can enhance your qualifications 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
• SAS Certified Data Scientist

These certifications can validate your skills in data analysis, machine learning, and cloud-based data solutions, making you a more attractive candidate.

Required Experience

Typically, a Mid-level/Intermediate Insight Analyst role requires 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools, statistical software, and machine learning algorithms is often expected. Employers look for candidates who have demonstrated the ability to translate complex data into actionable insights and have experience working with cross-functional teams.

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