Salary for Mid-level / Intermediate Data Analytics Specialist in United States during 2024

Salary details

The average mid-level / intermediate Data Analytics Specialist salary lies between USD 72,000 and USD 116,500 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.

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: Nov. 17, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Analytics Specialist roles

The three most common job tag items assiciated with mid-level / intermediate Data Analytics Specialist job listings are Data Analytics, SQL and Power BI. 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:

Data Analytics | 38 jobs SQL | 20 jobs Power BI | 17 jobs Excel | 16 jobs Statistics | 16 jobs Data analysis | 16 jobs Data visualization | 12 jobs Data management | 12 jobs Python | 11 jobs Tableau | 9 jobs Engineering | 9 jobs Data quality | 9 jobs R | 8 jobs Research | 8 jobs Business Intelligence | 8 jobs Computer Science | 8 jobs Salesforce | 8 jobs Security | 6 jobs Agile | 6 jobs Economics | 5 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Analytics Specialist roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Analytics Specialist job listings are Career development, Competitive pay and Salary bonus. 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 | 23 jobs Competitive pay | 15 jobs Salary bonus | 12 jobs Health care | 11 jobs Insurance | 9 jobs Flex hours | 8 jobs Flex vacation | 7 jobs 401(k) matching | 4 jobs Equity / stock options | 4 jobs Startup environment | 4 jobs Medical leave | 4 jobs Wellness | 3 jobs Relocation support | 3 jobs Parental leave | 2 jobs Transparency | 2 jobs Team events | 2 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Data Analytics Specialist can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can range from 70% to 90% of the total compensation. Bonuses are also a common component, often tied to individual performance, team performance, or company profitability. These bonuses can account for 5% to 15% of the total compensation. Additionally, some companies offer stock options or equity, especially in tech-heavy regions like Silicon Valley, which can add a significant amount to the overall package. Benefits such as health insurance, retirement contributions, and other perks can also be considered part of the total remuneration, though they are not direct cash compensation.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in high-demand areas such as machine learning, deep learning, and big data technologies.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive and justify a higher salary.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.
• Leadership Roles: Aim for roles with more responsibility, such as team lead or project manager, which often come with higher pay.
• Industry Shift: Consider moving to industries that pay higher salaries for data analytics roles, such as finance, healthcare, or tech.

Educational Requirements

Most mid-level data analytics positions require at least a bachelor's degree in a related field such as computer science, statistics, mathematics, or engineering. However, a master's degree in data science, analytics, or a related field can be highly beneficial and is often preferred by employers. This advanced education provides a deeper understanding of complex analytical techniques and tools, which can be crucial for career advancement.

Helpful Certifications

Certifications can enhance 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
• SAS Certified Data Scientist
• IBM Data Science Professional Certificate

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Experience Requirements

Typically, a mid-level data analytics specialist is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with data analysis, statistical modeling, and the use of analytics tools and software. Experience in specific industries or with particular types of data can also be advantageous, depending on the job requirements.

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