Salary for Mid-level / Intermediate Analyst in United States during 2024
💰 The median Salary for Mid-level / Intermediate Analyst in United States during 2024 is USD 107,650
✏️ This salary info is based on 158 individual salaries reported during 2024
Salary details
The average mid-level / intermediate Analyst salary lies between USD 80,000 and USD 137,000 in the United States. 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
- Analyst
- Experience
- Mid-level / Intermediate
- Region
- United States
- Salary year
- 2024
- Sample size
- 158
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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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: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 | 2819 jobs Python | 2227 jobs Data analysis | 1879 jobs Statistics | 1850 jobs Excel | 1701 jobs Tableau | 1581 jobs Engineering | 1494 jobs Power BI | 1435 jobs Computer Science | 1241 jobs Research | 1120 jobs R | 1112 jobs Data visualization | 1085 jobs Data Analytics | 1040 jobs Finance | 1022 jobs Mathematics | 1014 jobs Data quality | 825 jobs Business Intelligence | 767 jobs Testing | 758 jobs Machine Learning | 743 jobs Data management | 711 jobsTop 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 | 2341 jobs Health care | 1582 jobs Flex hours | 1070 jobs Competitive pay | 954 jobs Equity / stock options | 757 jobs Startup environment | 749 jobs Insurance | 717 jobs Team events | 686 jobs Flex vacation | 656 jobs Salary bonus | 592 jobs Parental leave | 550 jobs Medical leave | 531 jobs Wellness | 498 jobs 401(k) matching | 405 jobs Transparency | 155 jobs Fitness / gym | 139 jobs Home office stipend | 135 jobs Gear | 123 jobs Unlimited paid time off | 121 jobs Relocation support | 119 jobsSalary Composition
In the United States, the salary composition for a mid-level/intermediate AI/ML/Data Science Analyst typically includes a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, typically ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can add another 5% to 15% to the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets.
Steps to Increase Salary
To increase your salary from a mid-level position, consider the following strategies:
- Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging areas like deep learning, natural language processing, or big data technologies.
- Advanced Education: Pursuing a master's degree or a Ph.D. in a relevant field can open up higher-paying opportunities.
- Leadership Roles: Aim for roles that involve team leadership or project management, as these often come with higher pay.
- Industry Transition: Consider moving to industries that pay higher salaries for data science roles, such as finance, healthcare, or tech.
- Networking and Visibility: Attend industry conferences, contribute to open-source projects, or publish research to increase your visibility and network within the industry.
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, statistics, mathematics, or engineering. However, a master's degree is increasingly preferred and can be a significant advantage. Degrees that offer a strong foundation in programming, statistical analysis, and machine learning are particularly valued.
Helpful Certifications
While not always required, certain certifications can enhance your resume and demonstrate your expertise:
- Certified Data Scientist (CDS)
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Google Professional Machine Learning Engineer
These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.
Required Experience
Typically, a mid-level position requires 3 to 5 years of relevant experience in data science or a related field. This experience should include hands-on work with data analysis, machine learning model development, and proficiency in programming languages such as Python or R. Experience with data visualization tools and cloud platforms is also beneficial.
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