Salary for Mid-level / Intermediate Data Analyst during 2022

Salary details

The average mid-level / intermediate Data Analyst salary lies between USD 65,000 and USD 150,000 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. 10, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Data Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Data Analyst job listings are SQL, Python and Tableau. 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 | 456 jobs Python | 338 jobs Tableau | 275 jobs Excel | 257 jobs Statistics | 248 jobs Engineering | 226 jobs Data analysis | 222 jobs Power BI | 213 jobs R | 193 jobs Data Analytics | 187 jobs Research | 184 jobs Mathematics | 159 jobs Finance | 154 jobs Machine Learning | 151 jobs Business Intelligence | 144 jobs Data visualization | 139 jobs Computer Science | 139 jobs Data Mining | 106 jobs Agile | 97 jobs Testing | 94 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 2022 and the number of open jobs that where offering them during that period:

Career development | 363 jobs Health care | 230 jobs Flex hours | 205 jobs Startup environment | 191 jobs Competitive pay | 147 jobs Team events | 134 jobs Insurance | 110 jobs Flex vacation | 103 jobs Salary bonus | 96 jobs Parental leave | 79 jobs Equity / stock options | 73 jobs Medical leave | 56 jobs 401(k) matching | 43 jobs Relocation support | 39 jobs Wellness | 38 jobs Home office stipend | 38 jobs Gear | 34 jobs Unlimited paid time off | 33 jobs Fitness / gym | 25 jobs Travel | 20 jobs

Salary Composition

The salary composition for a Mid-level/Intermediate Data Analyst can vary significantly based on factors such as region, industry, and company size. Generally, the salary is composed of a fixed base salary, which constitutes the majority of the total compensation. In the United States, for instance, the base salary might range from 70% to 85% of the total compensation package. Bonuses, which can be performance-based or company-wide, typically account for 10% to 20% of the total salary. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement contributions, and professional development allowances. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary might be higher to compensate for living expenses. Similarly, larger companies or those in high-demand industries like tech or finance might offer more competitive compensation packages.

Increasing Salary

To increase your salary from a Mid-level Data Analyst position, consider the following steps:

• Skill Enhancement: Acquire advanced skills in machine learning, data engineering, or specialized analytics tools. Proficiency in programming languages like Python or R, and experience with big data technologies like Hadoop or Spark, can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications can open doors to higher-paying roles.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can lead to opportunities in higher-paying companies or roles.
• Performance Excellence: Consistently exceed performance expectations and take on leadership roles in projects to position yourself for promotions or salary negotiations.
• Industry Transition: Consider moving to industries that pay higher salaries for data analysts, such as finance, tech, or healthcare.

Educational Requirements

Most Mid-level Data Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Economics. Some roles might prefer candidates with a master's degree, especially in competitive industries or regions. A strong foundation in quantitative analysis, statistical methods, and data manipulation is essential. Coursework in data visualization, machine learning, and database management can also be beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Data Analytics Professional Certificate
• SAS Certified Data Scientist
• IBM Data Science Professional Certificate

These certifications can validate your skills in data analysis, machine learning, and data management, making you a more attractive candidate for higher-level positions.

Experience Requirements

Typically, a Mid-level Data Analyst is expected to have 2 to 5 years of relevant experience. This experience should include hands-on work with data analysis, statistical modeling, and data visualization tools. Experience in specific industries or with particular data types can also be advantageous. Demonstrated experience in solving real-world business problems using data is often a key requirement.

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