Salary for Entry-level / Junior Data Analyst during 2022

Salary details

The average entry-level / junior Data Analyst salary lies between USD 48,000 and USD 64,000 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: Nov. 17, 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 2022 and the number of open jobs that where associated with them during that period:

SQL | 200 jobs Python | 152 jobs Excel | 117 jobs Data analysis | 112 jobs Tableau | 111 jobs Statistics | 103 jobs Engineering | 93 jobs Data Analytics | 91 jobs R | 79 jobs Research | 77 jobs Power BI | 71 jobs Computer Science | 60 jobs Mathematics | 59 jobs Finance | 55 jobs Data visualization | 50 jobs Looker | 47 jobs Business Intelligence | 41 jobs Economics | 41 jobs KPIs | 37 jobs Machine Learning | 36 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, Startup environment and Team events. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 150 jobs Startup environment | 76 jobs Team events | 76 jobs Health care | 69 jobs Flex hours | 66 jobs Competitive pay | 52 jobs Equity / stock options | 34 jobs Insurance | 34 jobs Flex vacation | 32 jobs Parental leave | 18 jobs 401(k) matching | 15 jobs Salary bonus | 15 jobs Wellness | 14 jobs Relocation support | 14 jobs Medical leave | 11 jobs Fitness / gym | 10 jobs Snacks / Drinks | 9 jobs Flat hierarchy | 8 jobs Yoga | 7 jobs Unlimited paid time off | 7 jobs

Salary Composition

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 startups, or other benefits like health insurance, retirement contributions, and professional development allowances. The composition can vary by region, with tech hubs like San Francisco or New York offering higher base salaries but potentially lower relative bonuses due to the high cost of living. In contrast, companies in smaller cities might offer a more balanced package with a higher proportion of bonuses and benefits.

Steps to Increase Salary

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

• Skill Enhancement: Continuously upgrade your skills, especially in high-demand areas like machine learning, data visualization, and advanced statistical analysis.
• Certifications: Obtain relevant certifications that can validate your expertise and make you more competitive.
• Networking: Build a strong professional network to learn about new opportunities and industry trends.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and raises.
• Industry Transition: Consider moving to industries that pay higher salaries for data analysts, such as finance or tech.

Educational Requirements

Most entry-level data analyst positions require at least a bachelor's degree in a related field such as statistics, mathematics, computer science, or economics. Some roles may accept degrees in other fields if the candidate has relevant skills or experience. A strong foundation in quantitative analysis and familiarity with data manipulation tools is essential. Advanced degrees, such as a master's in data science or analytics, can be advantageous but are not typically required for entry-level roles.

Helpful Certifications

Several certifications can enhance your profile as a data analyst:

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

These certifications demonstrate proficiency in data analysis tools and methodologies, making you more attractive to potential employers.

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 analysis tools like Excel, SQL, Python, or R is often required. Familiarity with data visualization tools such as Tableau or Power BI can also be beneficial. While extensive professional experience is not expected, demonstrating hands-on experience with real-world data problems can set you apart.

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