Analyst Salary in 2024

Salary details

The average Analyst salary lies between USD 77,280 and USD 140,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Top 20 Job Tags for Analyst roles

The three most common job tag items assiciated with Analyst job listings are SQL, Python and Statistics. 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 | 16756 jobs Python | 13822 jobs Statistics | 11082 jobs Data analysis | 10342 jobs Excel | 9975 jobs Tableau | 9343 jobs Engineering | 8947 jobs Power BI | 8703 jobs R | 7061 jobs Research | 6978 jobs Computer Science | 6911 jobs Data Analytics | 6366 jobs Finance | 6118 jobs Mathematics | 5817 jobs Data visualization | 5755 jobs Testing | 5129 jobs Data quality | 5023 jobs Business Intelligence | 4709 jobs Machine Learning | 4622 jobs Data management | 4528 jobs

Top 20 Job Perks/Benefits for Analyst roles

The three most common job benefits and perks assiciated with 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 | 14693 jobs Health care | 9344 jobs Flex hours | 6793 jobs Competitive pay | 5608 jobs Equity / stock options | 4748 jobs Startup environment | 4590 jobs Team events | 4585 jobs Insurance | 4343 jobs Flex vacation | 3931 jobs Salary bonus | 3528 jobs Medical leave | 3288 jobs Parental leave | 3215 jobs Wellness | 2804 jobs 401(k) matching | 2099 jobs Transparency | 926 jobs Fitness / gym | 844 jobs Home office stipend | 705 jobs Relocation support | 696 jobs Flexible spending account | 604 jobs Gear | 600 jobs

Salary Composition

The salary for an AI/ML/Data Science Analyst typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might form a larger portion of the total compensation compared to other regions. In contrast, in regions with a lower cost of living, the base salary might be more dominant. Larger companies, especially in the tech industry, often offer more comprehensive compensation packages, including stock options and other benefits, compared to smaller companies or startups.

Steps to Increase Salary

To increase your salary from the position of an AI/ML/Data Science Analyst, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and tools relevant to AI and data science.
• Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications.
• Networking: Build a strong professional network to learn about new opportunities and gain insights into industry trends.
• Performance Excellence: Consistently deliver high-quality work and exceed performance expectations to position yourself for promotions and raises.
• Negotiation Skills: Develop strong negotiation skills to effectively advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most AI/ML/Data Science Analyst positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, mathematics, or engineering. A strong foundation in these areas is crucial for understanding the complex algorithms and data structures used in AI and machine learning. Some positions, especially those in more competitive or specialized fields, may require a master's degree or even a Ph.D. in a related discipline.

Helpful Certifications

Several certifications can enhance your credentials and demonstrate your expertise in AI and data science:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing, building, and productionizing ML models.
• Microsoft Certified: Azure AI Engineer Associate: Focuses on implementing AI solutions on Microsoft Azure.
• AWS Certified Machine Learning – Specialty: Validates expertise in building, training, and deploying ML models on AWS.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data analysis, machine learning, or a related field. Experience with data manipulation, statistical analysis, and machine learning model development is often required. Practical experience with programming languages such as Python or R, as well as familiarity with data visualization tools and frameworks like TensorFlow or PyTorch, is highly valued.

Related salaries

Want to contribute?