Data Analytics Associate Salary in United States during 2024
💰 The median Data Analytics Associate Salary in United States during 2024 is USD 96,000
✏️ This salary info is based on 7 individual salaries reported during 2024
Salary details
The average Data Analytics Associate salary lies between USD 60,000 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.
- Job title
- Data Analytics Associate
- Experience
- all levels
- Region
- United States
- Salary year
- 2024
- Sample size
- 7
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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 Data Analytics Associate roles
The three most common job tag items assiciated with Data Analytics Associate job listings are Data Analytics, SQL and Python. 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 | 23 jobs SQL | 18 jobs Python | 15 jobs Statistics | 15 jobs Data analysis | 13 jobs Tableau | 12 jobs Power BI | 12 jobs Computer Science | 11 jobs R | 10 jobs Engineering | 10 jobs Research | 9 jobs Excel | 8 jobs Finance | 7 jobs Data visualization | 7 jobs Mathematics | 7 jobs Oracle | 6 jobs Consulting | 6 jobs Data management | 5 jobs Machine Learning | 4 jobs Banking | 4 jobsTop 20 Job Perks/Benefits for Data Analytics Associate roles
The three most common job benefits and perks assiciated with Data Analytics Associate job listings are Career development, Competitive pay 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 | 11 jobs Competitive pay | 8 jobs Flex hours | 6 jobs Health care | 6 jobs Flex vacation | 4 jobs Startup environment | 4 jobs 401(k) matching | 3 jobs Wellness | 3 jobs Team events | 3 jobs Insurance | 3 jobs Salary bonus | 3 jobs Equity / stock options | 2 jobs Parental leave | 2 jobs Transparency | 2 jobs Relocation support | 2 jobs Medical leave | 2 jobs Travel | 1 jobs Gear | 1 jobs Signing bonus | 1 jobs Home office stipend | 1 jobsSalary Composition
The salary for a Data Analytics Associate in the United States 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 profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.
The composition can vary based on several factors:
- Region: Salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and demand for talent.
- Industry: Tech and finance industries often offer higher salaries and bonuses compared to sectors like education or non-profits.
- Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer equity as part of the compensation package.
Increasing Salary
To increase your salary from a Data Analytics Associate position, consider the following steps:
- Skill Enhancement: Continuously upgrade your skills in advanced analytics, machine learning, and data visualization tools. Proficiency in programming languages like Python or R can be particularly valuable.
- Certifications: Obtain relevant certifications that can validate your expertise and make you more competitive in the job market.
- Networking: Build a strong professional network within the industry. Attend conferences, join professional groups, and engage in online forums.
- Advanced Education: Consider pursuing a master's degree or specialized courses in data science or related fields.
- Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
Educational Requirements
Most Data Analytics Associate positions require at least a bachelor's degree in a related field such as data science, computer science, statistics, mathematics, or economics. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or leadership responsibilities.
Helpful Certifications
Several certifications can enhance your qualifications for a Data Analytics Associate role:
- Certified Analytics Professional (CAP): This certification demonstrates your ability to transform data into valuable insights.
- Google Data Analytics Professional Certificate: Offers foundational knowledge and skills in data analytics.
- Microsoft Certified: Data Analyst Associate: Validates your ability to help businesses maximize the value of their data assets.
- SAS Certified Data Scientist: Focuses on using SAS and open-source tools to manipulate big data.
Experience Requirements
Typically, employers look for candidates with 1-3 years of experience in data analysis or a related field. Experience with data visualization tools (like Tableau or Power BI), statistical analysis, and data manipulation is often required. Internships or project work during your studies can also be valuable in demonstrating practical experience.
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