Salary for Mid-level / Intermediate Data Analytics Consultant in United States during 2024

Salary details

The average mid-level / intermediate Data Analytics Consultant salary lies between USD 66,100 and USD 110,300 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

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

The three most common job tag items assiciated with mid-level / intermediate Data Analytics Consultant job listings are Data Analytics, SQL and Power BI. 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:

Data Analytics | 23 jobs SQL | 17 jobs Power BI | 17 jobs Tableau | 14 jobs Data analysis | 14 jobs Python | 13 jobs Engineering | 12 jobs Consulting | 11 jobs Machine Learning | 10 jobs Excel | 10 jobs Data visualization | 10 jobs Statistics | 10 jobs Economics | 8 jobs Finance | 8 jobs Mathematics | 8 jobs R | 7 jobs Business Intelligence | 7 jobs Agile | 7 jobs Computer Science | 7 jobs Architecture | 6 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Analytics Consultant job listings are Career development, Flex hours and Team events. 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 | 18 jobs Flex hours | 9 jobs Team events | 9 jobs Health care | 8 jobs Flex vacation | 6 jobs Competitive pay | 4 jobs Insurance | 4 jobs Unlimited paid time off | 4 jobs Equity / stock options | 3 jobs Startup environment | 3 jobs Fitness / gym | 2 jobs Medical leave | 2 jobs Salary bonus | 2 jobs 401(k) matching | 1 jobs Parental leave | 1 jobs Gear | 1 jobs Conferences | 1 jobs Flexible spending account | 1 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Data Analytics Consultant typically includes a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s policy, individual performance, and company performance. Additional remuneration might include benefits like health insurance, retirement contributions, and other perks. 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. Industry also plays a role; for instance, finance and tech industries might offer higher bonuses compared to non-profit sectors. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and bonuses.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in data science or a related field. Gaining expertise in high-demand areas like machine learning, artificial intelligence, or big data analytics can make you more valuable. Networking within the industry and seeking mentorship can provide insights into higher-paying opportunities. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value can position you for promotions or salary negotiations. Exploring opportunities in different industries or regions where demand for data analytics skills is higher can also lead to increased compensation.

Educational Requirements

Most mid-level data analytics consultant positions require at least a bachelor's degree in a relevant field such as data science, computer science, statistics, mathematics, or engineering. Some positions may prefer or require a master's degree, especially in competitive markets or for roles with a strong emphasis on advanced analytics and machine learning. A solid foundation in quantitative skills, programming, and data manipulation is essential, and coursework in business or domain-specific knowledge can be advantageous.

Helpful Certifications

Several certifications can enhance your qualifications and potentially increase your salary. Common and valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• SAS Certified Data Scientist
• AWS Certified Data Analytics – Specialty

These certifications demonstrate your expertise and commitment to the field, making you a more attractive candidate for employers.

Experience Requirements

Typically, a mid-level data analytics consultant is expected to have 3-5 years of relevant experience. This experience should include hands-on work with data analysis, statistical modeling, and data visualization tools. Experience with programming languages such as Python or R, as well as familiarity with SQL and data manipulation, is often required. Experience in a specific industry or domain can be beneficial, as it allows you to provide more tailored insights and solutions.

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