Data Analytics Specialist Salary in United States during 2024

Salary details

The average Data Analytics Specialist salary lies between USD 81,806 and USD 140,000 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.

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: Dec. 22, 2024

Top 20 Job Tags for Data Analytics Specialist roles

The three most common job tag items assiciated with 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 | 129 jobs SQL | 75 jobs Power BI | 71 jobs Python | 67 jobs Excel | 55 jobs Tableau | 54 jobs Data analysis | 54 jobs Engineering | 52 jobs Statistics | 52 jobs Computer Science | 49 jobs Data management | 47 jobs Security | 44 jobs Data visualization | 42 jobs Data quality | 36 jobs R | 35 jobs Business Intelligence | 35 jobs AWS | 32 jobs Research | 30 jobs Data governance | 27 jobs Qlik | 24 jobs

Top 20 Job Perks/Benefits for Data Analytics Specialist roles

The three most common job benefits and perks assiciated with Data Analytics Specialist job listings are Career development, Flex hours and Team events. 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 | 78 jobs Flex hours | 37 jobs Team events | 35 jobs Health care | 34 jobs Competitive pay | 28 jobs Insurance | 22 jobs Salary bonus | 18 jobs Startup environment | 14 jobs Equity / stock options | 13 jobs Flex vacation | 13 jobs Wellness | 13 jobs 401(k) matching | 11 jobs Transparency | 10 jobs Fitness / gym | 9 jobs Parental leave | 8 jobs Medical leave | 5 jobs Relocation support | 4 jobs Flexible spending account | 2 jobs Paid sabbatical | 2 jobs Gear | 1 jobs

Salary Composition

The salary for a Data Analytics Specialist in the AI/ML/Data Science field 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 largest part 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 be more substantial compared to other areas. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities, which can add significant value to the overall compensation.

Increasing Salary Potential

To increase your salary from the position of a Data Analytics Specialist, consider pursuing advanced roles such as Data Scientist, Machine Learning Engineer, or Data Analytics Manager. Gaining expertise in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable. Additionally, developing leadership skills and taking on project management responsibilities can position you for promotions. Networking within the industry and staying updated with the latest trends and technologies can also open up higher-paying opportunities.

Educational Requirements

Most Data Analytics Specialist roles require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or Ph.D. can be advantageous, especially for roles that require a deeper understanding of machine learning algorithms and data modeling. Some positions may also value interdisciplinary studies that combine business acumen with technical skills.

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
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills in specific tools and platforms, making you more competitive in the job market.

Experience Requirements

Typically, a Data Analytics Specialist role requires 2-5 years of experience in data analysis or a related field. Experience with data visualization tools, statistical software, and programming languages like Python or R is often essential. Prior experience in a specific industry, such as finance, healthcare, or technology, can also be beneficial, as it provides domain-specific insights that are valuable in data analysis.

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