Salary for Mid-level / Intermediate BI Analyst in United States during 2023

Salary details

The average mid-level / intermediate BI Analyst salary lies between USD 110,000 and USD 160,000 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: Dec. 15, 2024

Salary trend

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

The three most common job tag items assiciated with mid-level / intermediate BI Analyst job listings are SQL, Power BI and Engineering. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

SQL | 17 jobs Power BI | 15 jobs Engineering | 12 jobs Tableau | 11 jobs Business Intelligence | 11 jobs Data analysis | 11 jobs Research | 10 jobs Data visualization | 10 jobs Finance | 9 jobs Python | 7 jobs ETL | 6 jobs Excel | 6 jobs Data Warehousing | 5 jobs Azure | 5 jobs Statistics | 5 jobs Mathematics | 5 jobs Computer Science | 5 jobs R | 4 jobs Economics | 4 jobs Consulting | 4 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate BI Analyst job listings are Career development, Startup environment and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 15 jobs Startup environment | 10 jobs Health care | 9 jobs Competitive pay | 9 jobs Team events | 7 jobs Flex hours | 5 jobs Parental leave | 4 jobs Flex vacation | 4 jobs Salary bonus | 4 jobs Conferences | 3 jobs Insurance | 3 jobs Medical leave | 2 jobs Flexible spending account | 2 jobs 401(k) matching | 1 jobs Equity / stock options | 1 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Snacks / Drinks | 1 jobs Home office stipend | 1 jobs Fertility benefits | 1 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate BI Analyst in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, generally accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can make up 5% to 15% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market.

Increasing Salary

To increase your salary further from this position, consider the following steps:

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in high-demand areas such as deep learning, natural language processing, or data engineering can make you more valuable.
• Advanced Education: Pursuing a master's degree or a Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into a leadership or managerial role can significantly increase your earning potential.
• Industry Shift: Moving to a higher-paying industry, such as finance or healthcare, where data science skills are in high demand, can also boost your salary.
• Networking and Visibility: Building a strong professional network and increasing your visibility in the industry through conferences, publications, or speaking engagements can lead to better job offers.

Educational Requirements

Most mid-level BI Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Mathematics. However, many employers prefer candidates with a master's degree, especially for roles that involve complex data analysis and machine learning model development. A strong foundation in programming, statistics, and data manipulation is essential.

Helpful Certifications

While not always mandatory, certain 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 Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and knowledge in specific tools and platforms, making you a more competitive candidate.

Required Experience

Typically, a mid-level BI Analyst in AI/ML/Data Science is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with data analysis, statistical modeling, and machine learning projects. Experience with data visualization tools, such as Tableau or Power BI, and programming languages like Python or R is often required. Familiarity with cloud platforms and big data technologies can also be advantageous.

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