Salary for Entry-level / Junior Data Analyst in United States during 2022

Salary details

The average entry-level / junior Data Analyst salary lies between USD 50,000 and USD 64,000 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. 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 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 and is influenced by factors such as geographic location, industry, and company size. For instance, data analysts in tech hubs like San Francisco or New York may receive higher base salaries compared to those in smaller cities due to the higher cost of living and demand for talent. Bonuses can vary significantly and are often tied to individual or company performance. In larger companies or those in competitive industries like finance or tech, bonuses might be more substantial. Additional remuneration could include stock options, especially in tech startups, or benefits like health insurance, retirement contributions, and professional development allowances.

Increasing Salary

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

• Skill Enhancement: Continuously improve your technical skills, particularly in programming languages like Python or R, and data visualization tools such as Tableau or Power BI.
• Advanced Education: Pursuing a master's degree in data science, statistics, or a related field can make you more competitive for higher-paying roles.
• Specialization: Develop expertise in a niche area of data analysis, such as machine learning, big data, or business intelligence, which can command higher salaries.
• Networking: Build a professional network through industry events, online forums, and LinkedIn to learn about new opportunities and trends.
• Performance and Negotiation: Consistently perform well in your current role and be prepared to negotiate your salary during performance reviews or when offered a new position.

Educational Requirements

Most entry-level data analyst positions require at least a bachelor's degree in a related field such as data science, 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 and visualization tools is essential.

Helpful Certifications

While not always required, certain certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

• Microsoft Certified: Data Analyst Associate
• Google Data Analytics Professional Certificate
• IBM Data Analyst Professional Certificate
• SAS Certified Specialist: Base Programming Using SAS 9.4
• Tableau Desktop Specialist

These certifications can provide you with a structured learning path and validate your skills 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, programming languages, and real-world data sets is often more important than the length of experience. Demonstrating your ability to solve problems and communicate insights effectively can set you apart.

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