Salary for Mid-level / Intermediate Data Analyst in United States during 2022

Salary details

The average mid-level / intermediate Data Analyst salary lies between USD 85,000 and USD 150,000 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 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 for a Mid-level/Intermediate Data Analyst in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. For instance, tech companies might offer higher bonuses compared to non-tech industries. Additional remuneration might include stock options, especially in tech startups or large tech firms, and benefits like health insurance, retirement plans, and paid time off. The composition can also vary by region, with tech hubs like San Francisco or New York offering higher base salaries and bonuses compared to other regions.

Steps to Increase Salary

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

• 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 up higher-paying roles.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn to learn about new opportunities.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
• Negotiation: When offered a new position or during performance reviews, negotiate for a higher salary based on your contributions and market research.

Educational Requirements

Most Mid-level Data Analyst positions require at least a bachelor's degree in a related field such as Data Science, Statistics, Computer Science, or Mathematics. Some roles may prefer candidates with a master's degree, especially for positions that require more complex data analysis or machine learning expertise. A strong foundation in quantitative analysis, statistical methods, and data manipulation is essential.

Helpful Certifications

Certifications can enhance your credentials 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 provide a competitive edge and are often recognized by employers as a testament to your skills and commitment to the field.

Required Experience

Typically, a Mid-level Data Analyst is expected to have 3-5 years of experience in data analysis or a related field. This experience should include hands-on work with data visualization tools, statistical analysis, and data manipulation. Experience with specific industry-related data or familiarity with business intelligence tools like Tableau or Power BI can also be advantageous.

Related salaries

Want to contribute?