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 68,378 and USD 115,000 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: Jan. 19, 2025

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 | 5189 jobs Python | 3844 jobs Excel | 3615 jobs Data analysis | 3536 jobs Power BI | 3220 jobs Statistics | 3137 jobs Tableau | 2752 jobs Engineering | 2460 jobs Data Analytics | 2113 jobs Computer Science | 2031 jobs Research | 2018 jobs R | 2000 jobs Data visualization | 1736 jobs Finance | 1601 jobs Mathematics | 1572 jobs Data quality | 1467 jobs Data management | 1434 jobs Testing | 1261 jobs Security | 1236 jobs Business Intelligence | 1196 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 | 4478 jobs Health care | 2719 jobs Flex hours | 2296 jobs Competitive pay | 1488 jobs Team events | 1481 jobs Startup environment | 1369 jobs Equity / stock options | 1303 jobs Insurance | 1224 jobs Flex vacation | 1156 jobs Salary bonus | 1063 jobs Parental leave | 871 jobs Medical leave | 856 jobs Wellness | 712 jobs 401(k) matching | 545 jobs Fitness / gym | 253 jobs Home office stipend | 224 jobs Relocation support | 197 jobs Transparency | 193 jobs Gear | 177 jobs Flexible spending account | 165 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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