Salary for Entry-level / Junior Data Analyst in United States during 2024

Salary details

The average entry-level / junior Data Analyst salary lies between USD 69,500 and USD 118,000 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. 24, 2024

Salary trend

Top 20 Job Tags for Entry-level / Junior Data Analyst roles

The three most common job tag items assiciated with entry-level / junior Data Analyst job listings are SQL, Python and Excel. 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 | 4742 jobs Python | 3537 jobs Excel | 3324 jobs Data analysis | 3236 jobs Power BI | 2909 jobs Statistics | 2849 jobs Tableau | 2539 jobs Engineering | 2233 jobs Data Analytics | 1933 jobs Research | 1887 jobs Computer Science | 1852 jobs R | 1842 jobs Data visualization | 1567 jobs Finance | 1454 jobs Mathematics | 1434 jobs Data quality | 1347 jobs Data management | 1297 jobs Testing | 1165 jobs Security | 1142 jobs Business Intelligence | 1117 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Data Analyst roles

The three most common job benefits and perks assiciated with entry-level / junior Data 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 | 4099 jobs Health care | 2476 jobs Flex hours | 2114 jobs Competitive pay | 1373 jobs Team events | 1351 jobs Startup environment | 1278 jobs Equity / stock options | 1173 jobs Insurance | 1131 jobs Flex vacation | 1062 jobs Salary bonus | 958 jobs Parental leave | 791 jobs Medical leave | 780 jobs Wellness | 653 jobs 401(k) matching | 510 jobs Fitness / gym | 227 jobs Home office stipend | 201 jobs Transparency | 176 jobs Relocation support | 170 jobs Flexible spending account | 156 jobs Gear | 154 jobs

Salary Composition

The salary for an entry-level or junior data analyst in the United States typically consists of a base salary, which is the fixed amount, and may include additional components such as bonuses and other forms of remuneration. The base salary is often the largest portion, accounting for the majority of the total compensation package. Bonuses can vary significantly depending on the company and industry. For instance, tech companies or financial institutions might offer performance-based bonuses, which can range from 5% to 15% of the base salary. Additional remuneration might include stock options, especially in tech startups, or benefits like health insurance, retirement contributions, and paid time off. The composition can also vary by region, with higher base salaries often found in tech hubs like San Francisco or New York City, but these may be offset by the higher cost of living.

Career Advancement

To increase your salary from an entry-level position, consider gaining specialized skills or certifications that are in high demand. Pursuing further education, such as a master's degree in data science or a related field, can also be beneficial. Networking within the industry and seeking mentorship can provide insights into career advancement opportunities. Additionally, gaining experience in a specific industry, such as finance, healthcare, or technology, can make you more valuable to employers. Taking on more complex projects or leadership roles within your current position can also demonstrate your capability and readiness for a promotion.

Educational Requirements

Most entry-level data analyst positions require at least a bachelor's degree. Common fields of study include data science, computer science, statistics, mathematics, or a related discipline. Some positions may accept degrees in business or economics if the candidate has strong analytical skills and relevant coursework or experience. A solid foundation in statistics and data analysis techniques is crucial, as is proficiency in programming languages such as Python or R.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to the field. Some popular certifications for data analysts include:

• Microsoft Certified: Data Analyst Associate
• Google Data Analytics Professional Certificate
• IBM Data Analyst Professional Certificate
• SAS Certified Data Scientist
• Tableau Desktop Specialist

These certifications can provide you with a competitive edge by validating your skills in data analysis tools and methodologies.

Experience Requirements

For entry-level positions, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your studies. Experience with data visualization tools, SQL, and data cleaning processes is often expected. While extensive professional experience is not required, demonstrating your ability to work with data and solve real-world problems is crucial.

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