Salary for Senior-level / Expert Data Analytics Associate in United States during 2024

Salary details

The average senior-level / expert Data Analytics Associate salary lies between USD 96,000 and USD 143,000 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: Nov. 17, 2024

Top 20 Job Tags for Senior-level / Expert Data Analytics Associate roles

The three most common job tag items assiciated with senior-level / expert Data Analytics Associate job listings are Tableau, SQL and Data Analytics. 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:

Tableau | 4 jobs SQL | 4 jobs Data Analytics | 4 jobs Statistics | 4 jobs Mathematics | 4 jobs Python | 3 jobs Research | 3 jobs Banking | 3 jobs Finance | 3 jobs Power BI | 3 jobs Excel | 3 jobs Computer Science | 3 jobs R | 2 jobs Oracle | 2 jobs Azure | 2 jobs T-SQL | 2 jobs SharePoint | 2 jobs Data management | 2 jobs Machine Learning | 1 jobs Data Warehousing | 1 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Analytics Associate roles

The three most common job benefits and perks assiciated with senior-level / expert Data Analytics Associate job listings are Competitive pay, Wellness and Health care. 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:

Competitive pay | 4 jobs Wellness | 2 jobs Health care | 2 jobs Career development | 1 jobs Gear | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Data Analytics Associate typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the total package. 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.

Increasing Salary

To increase your salary from this position, consider pursuing advanced roles such as Data Science Manager or Lead Data Scientist. Gaining expertise in high-demand areas like machine learning, artificial intelligence, or big data analytics can also make you more valuable. Networking within industry-specific groups and attending conferences can open up opportunities for higher-paying positions. Additionally, obtaining advanced certifications or a master's degree in a related field can enhance your qualifications and bargaining power during salary negotiations.

Educational Requirements

Most Senior-level Data Analytics Associate positions require at least a bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for expert-level roles. A strong educational background provides the foundational knowledge necessary for complex data analysis and problem-solving tasks.

Helpful Certifications

Several certifications can be beneficial for advancing in a data analytics career. These include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• SAS Certified Advanced Analytics Professional
• IBM Data Science Professional Certificate

These certifications demonstrate a commitment to the field and validate your skills in data analysis, machine learning, and data management.

Required Experience

Typically, a Senior-level Data Analytics Associate is expected to have at least 5 to 8 years of experience in data analytics or a related field. This experience should include hands-on work with data analysis tools, statistical software, and programming languages such as Python or R. Experience in leading projects, mentoring junior analysts, and collaborating with cross-functional teams is also highly valued.

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