Salary for Entry-level / Junior Data Analyst during 2024

Salary details

The average entry-level / junior Data Analyst salary lies between USD 62,500 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: Dec. 15, 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 | 5060 jobs Python | 3745 jobs Excel | 3532 jobs Data analysis | 3435 jobs Power BI | 3126 jobs Statistics | 3050 jobs Tableau | 2695 jobs Engineering | 2376 jobs Data Analytics | 2058 jobs Research | 1986 jobs Computer Science | 1979 jobs R | 1950 jobs Data visualization | 1674 jobs Finance | 1566 jobs Mathematics | 1520 jobs Data quality | 1433 jobs Data management | 1396 jobs Testing | 1228 jobs Security | 1204 jobs Business Intelligence | 1174 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 | 4358 jobs Health care | 2639 jobs Flex hours | 2238 jobs Competitive pay | 1454 jobs Team events | 1443 jobs Startup environment | 1354 jobs Equity / stock options | 1265 jobs Insurance | 1195 jobs Flex vacation | 1122 jobs Salary bonus | 1025 jobs Parental leave | 841 jobs Medical leave | 827 jobs Wellness | 700 jobs 401(k) matching | 531 jobs Fitness / gym | 247 jobs Home office stipend | 223 jobs Relocation support | 194 jobs Transparency | 190 jobs Gear | 162 jobs Flexible spending account | 160 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.

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