Salary for Mid-level / Intermediate Analyst during 2024

Salary details

The average mid-level / intermediate Analyst salary lies between USD 76,736 and USD 137,000 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. 22, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Analyst job listings are SQL, Python and Data analysis. 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 | 2772 jobs Python | 2187 jobs Data analysis | 1849 jobs Statistics | 1820 jobs Excel | 1671 jobs Tableau | 1553 jobs Engineering | 1465 jobs Power BI | 1411 jobs Computer Science | 1218 jobs Research | 1109 jobs R | 1103 jobs Data visualization | 1067 jobs Data Analytics | 1019 jobs Finance | 997 jobs Mathematics | 997 jobs Data quality | 808 jobs Business Intelligence | 755 jobs Testing | 741 jobs Machine Learning | 729 jobs Economics | 720 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 2305 jobs Health care | 1593 jobs Flex hours | 1051 jobs Competitive pay | 934 jobs Equity / stock options | 743 jobs Startup environment | 735 jobs Insurance | 698 jobs Team events | 675 jobs Flex vacation | 641 jobs Salary bonus | 589 jobs Parental leave | 545 jobs Medical leave | 529 jobs Wellness | 493 jobs 401(k) matching | 400 jobs Transparency | 152 jobs Fitness / gym | 136 jobs Home office stipend | 134 jobs Unlimited paid time off | 119 jobs Gear | 118 jobs Conferences | 116 jobs

Salary Composition

The salary for a mid-level/intermediate AI/ML/Data Science Analyst typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and professional development allowances.

Regional differences can impact salary composition, with tech hubs like Silicon Valley offering higher base salaries and more lucrative stock options. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or non-profits. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller startups offering equity as a significant part of the compensation.

Next Steps for Salary Increase

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

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open doors to higher-level positions and salary brackets.
• Leadership Roles: Transitioning into roles that involve team leadership or project management can lead to salary increases.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech, can result in a significant salary boost.

Educational Requirements

Most mid-level AI/ML/Data Science Analyst positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or mathematics. However, many employers prefer candidates with a master's degree due to the advanced knowledge and skills it provides. A strong foundation in programming, statistics, and machine learning principles is essential.

Helpful Certifications

While not always mandatory, certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Data Scientist (CDS)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can validate your skills and knowledge, making you a more competitive candidate.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in data science or a related field. This experience should include hands-on work with data analysis, machine learning model development, and deployment. Experience with programming languages like Python or R, as well as familiarity with data visualization tools and cloud platforms, is often expected.

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