Salary for Entry-level / Junior Data Analyst during 2024

Salary details

The average entry-level / junior Data Analyst salary lies between USD 62,186 and USD 110,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 12, 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 for Entry-Level/Junior Data Analyst Roles

The salary for an entry-level or junior data analyst typically consists of a fixed base salary, which forms the bulk of the compensation package. In addition to the base salary, some companies offer performance-based bonuses, which can vary significantly depending on the company's financial health, industry standards, and individual performance. Additional remuneration might include stock options, especially in tech companies, or other benefits like health insurance, retirement plans, and professional development allowances.

• Region: Salaries can vary widely based on geographic location. For instance, data analysts in major tech hubs like San Francisco or New York City might receive higher base salaries compared to those in smaller cities or regions with a lower cost of living.
• Industry: Industries such as finance, technology, and healthcare often offer higher compensation packages compared to non-profit or educational sectors.
• Company Size: Larger companies or well-funded startups may offer more competitive salaries and bonuses compared to smaller firms or those in early stages.

Steps to Increase Salary from an Entry-Level Position

To increase your salary from an entry-level position, consider the following strategies:

• Skill Development: Continuously upgrade your skills, especially in high-demand areas like machine learning, data visualization, and advanced statistical analysis.
• Certifications: Obtain relevant certifications that can enhance your expertise and marketability.
• Networking: Build a strong professional network to learn about new opportunities and industry trends.
• Performance: Consistently exceed performance expectations to position yourself for promotions and salary increases.
• Advanced Education: Consider pursuing a master's degree or specialized courses in data science or related fields.

Educational Requirements for Entry-Level Data Analyst Roles

Most entry-level data analyst positions require at least a bachelor's degree in a related field such as:

• Data Science
• Statistics
• Computer Science
• Mathematics
• Economics

Some roles may also consider candidates with degrees in other fields if they have relevant skills and experience in data analysis.

Helpful Certifications for Data Analysts

While not always required, certain certifications can enhance your qualifications and demonstrate your commitment to the field:

• 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 and validate your skills in data analysis tools and methodologies.

Experience Requirements for Entry-Level Positions

Entry-level data analyst roles typically require:

• Internships or Co-op Experience: Practical experience through internships or cooperative education programs is highly valued.
• Project Work: Demonstrated experience with data analysis projects, either through academic coursework or personal projects.
• Technical Skills: Proficiency in data analysis tools such as Excel, SQL, Python, or R is often required.

Related salaries

Want to contribute?