Business Intelligence Analyst Mid Level information
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$45.5K - $56.2K
1% of jobs
$75.5K is the 25th percentile. Wages below this are outliers.
$67K - $77.7K
18% of jobs
$77.7K - $88.4K
19% of jobs
The median wage is $89.8K / yr.
$88.4K - $99.1K
16% of jobs
$99.1K - $109.9K
11% of jobs
$110.5K is the 75th percentile. Wages above this are outliers.
$109.9K - $120.6K
9% of jobs
$120.6K - $131.3K
5% of jobs
$131.3K - $142K
4% of jobs
$142K - $152.8K
4% of jobs
$152.8K - $163.5K
3% of jobs
How much do business intelligence analyst mid level jobs pay per year?
As of Aug 22, 2026, the average yearly pay for business intelligence analyst mid level in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.
A mid-level Business Intelligence Analyst is responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. They work with various data sources to identify trends, develop reports, and create dashboards to support strategic planning. In this role, analysts collaborate with different departments to understand their data needs and ensure insights are actionable. Mid-level analysts often have a few years of experience, allowing them to handle more complex projects and mentor junior team members.
Mid-level Business Intelligence Analysts often work closely with cross-functional teams such as marketing, finance, and operations to understand their data needs and identify key business questions. They gather requirements, design relevant reports or dashboards, and present findings in a way that supports strategic decision-making. Effective communication and the ability to translate complex data into clear, actionable insights are critical, as is being proactive in seeking feedback and iterating on solutions to best serve various stakeholders.
To thrive as a Business Intelligence Analyst Mid Level, you need strong analytical skills, proficiency in data modeling, and a relevant degree in business, statistics, or computer science. Familiarity with BI tools like Tableau, Power BI, SQL, and experience with data warehousing systems are typically required. Excellent problem-solving abilities, effective communication, and the ability to collaborate across departments are important soft skills. These capabilities enable analysts to transform complex data into actionable insights that drive strategic business decisions.
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