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Full Time Business Intelligence Data Analyst Jobs

COCC

Business Intelligence Data Analyst

Camp Hill, PA · Hybrid

$80K - $109K/yr

Our client is seeking a Business Intelligence Data Analyst to support reporting, analytics, and data driven decision making across banking, financial, operational, risk, and compliance functions.

Humana

Senior Business Intelligence Data Analyst

Humana is seeking an individual for the Senior Business Intelligence Data Analyst to provide ... full time (40 hours per week) employment at the time of posting. The pay range may be higher or ...

Humana

Senior Business Intelligence Data Analyst

Humana is seeking an individual for the Senior Business Intelligence Data Analyst to provide ... full time (40 hours per week) employment at the time of posting. The pay range may be higher or ...

Lamons

Business Intelligence Analyst

Houston, TX · On-site

The Business Intelligence Analyst also supports reporting enhancements, data integrity, and emerging analytics technologies to improve business performance. Job Duties and Responsibilities * Meet ...

Global Data Consultants

Data Analyst

Mechanicsburg, PA · On-site

This position focuses on transforming complex court data into meaningful insights through data analysis, visualization, SQL, and business intelligence. As a Data Analyst you will be responsible for ...

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Full Time Business Intelligence Data Analyst information

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$45.5K

$99.9K

$163.5K

How much do full time business intelligence data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for full time business intelligence data analyst 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.

What does a full time business intelligence data analyst do?

A Full Time Business Intelligence Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed business decisions. They create reports, dashboards, and visualizations to communicate insights to stakeholders. Additionally, they often work with databases, utilize data modeling techniques, and collaborate with other teams to identify trends, opportunities, and areas for improvement. Their goal is to turn raw data into actionable information that supports strategic planning and operational efficiency.

What are the key skills and qualifications needed to thrive as a full time business intelligence data analyst, and why are they important?

To thrive as a Full Time Business Intelligence Data Analyst, you need strong analytical abilities, proficiency in data visualization, and a solid understanding of statistical methods, typically supported by a degree in a quantitative field. Expertise with BI tools like Tableau or Power BI, SQL databases, and possibly certifications such as Microsoft Certified: Data Analyst Associate are commonly expected. Attention to detail, problem-solving skills, and effective communication enable analysts to interpret data accurately and convey insights to stakeholders. These competencies are crucial for driving data-informed decision-making and delivering actionable business solutions.

How does a full time business intelligence data analyst typically collaborate with other departments within an organization?

A Business Intelligence Data Analyst regularly works with departments such as marketing, sales, finance, and operations to understand their data needs and translate business questions into actionable insights. They often participate in cross-functional meetings to gather requirements, present findings, and develop data-driven solutions. Effective communication and collaboration are essential, as analysts must tailor their analyses to fit the unique goals of each team and ensure that data-driven recommendations are understood and actionable.

What is the difference between Full Time Business Intelligence Data Analyst vs Data Scientist?

AspectFull Time Business Intelligence Data AnalystData Scientist
Required CredentialsBachelor's in Business, IT, or related field; often certifications in BI toolsBachelor's or higher in Computer Science, Statistics, or related; advanced degrees common
Work EnvironmentBusiness intelligence teams, analytics departments, corporate officesData science teams, R&D, tech companies, research labs
Employer & Industry UsageFinance, retail, healthcare, manufacturing, where data reporting is keyTech, finance, e-commerce, research sectors focusing on predictive modeling

While both roles analyze data, a Full Time Business Intelligence Data Analyst primarily focuses on interpreting data to generate reports and support business decisions using BI tools. A Data Scientist develops complex models and algorithms to predict trends and uncover deeper insights. The roles often overlap but differ in scope and technical depth.

What cities are hiring for Full Time Business Intelligence Data Analyst jobs?

Cities with the most Full Time Business Intelligence Data Analyst job openings:

What are the most commonly searched types of Business Intelligence Data Analyst jobs?

The most popular types of Business Intelligence Data Analyst jobs are:

What states have the most Full Time Business Intelligence Data Analyst jobs?

States with the most job openings for Full Time Business Intelligence Data Analyst jobs include:

Full Time Business Intelligence Data Analyst jobs near you

Business Intelligence Data Analyst

Logic20/20

Seattle, WA • On-site

Full-time

Re-posted 14 days ago

Job description

In order to continue and accelerate our growth, we are looking for a Business Intelligence Data Analyst to add to our Seattle, Washington-based team. 

The BI Data Analyst will review functional requirements and assist with functional specifications. They will develop insights into business and data models and will perform data analysis activities to identify relational data issues. The BI Data Analyst will also review issues identified by offshore development teams and will work with SMEs / Microsoft IT to understand the cause of identified issues (e.g., in report, cube, data mart, or data quality). 3-5 years of experience working with SQL queries, as well as accessing and analyzing data within data marts and cubes, is required. The candidate must have T-SQL query experience as well as browsing and exploring OLAP cubes for data issues.

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