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Full Time Business Intelligence Data Analyst Jobs

Rapid Finance

BI Data Analyst (Hybrid)

Bethesda, MD · On-site

Rapid Finance has a dynamic opportunity for a BI Data Analyst to join our Business Intelligence team. This role will focus on building, maintaining, and improving business intelligence reporting ...

Garver

Business Intelligence Analyst

Frisco, TX · On-site

Data Preparation and Quality * Gather, clean, transform, and validate data from multiple sources ... Project experience in business intelligence, data analytics, or reporting. * Experience with DAX ...

Garver

Business Intelligence Analyst

Austin, TX · On-site

Data Preparation and Quality * Gather, clean, transform, and validate data from multiple sources ... Project experience in business intelligence, data analytics, or reporting. * Experience with DAX ...

Amphenol

Business Intelligence Analyst

Endicott, NY · On-site

$55K - $70K/yr

This role serves as the primary resource for Power BI development, data analysis, reporting automation, and business intelligence initiatives within the organization. The position partners closely ...

Dabella

Data Analyst

Austin, TX · On-site

$75K/yr

On-Site, Austin, TX Full Time: Monday - Friday, 8am - 5pm Compensation: $75,000 - 90,000K Job ... Bachelor's degree in Data Analytics, Business Intelligence, Data Science, Computer Science ...

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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 Analyst

RECEIVING DATA COPY COMPANY

Boston, MA • On-site

Full-time

Re-posted 13 days ago

Job description

We are looking for a motivated, driven, self-starter for the newly created role of Business Intelligence Analyst. The ideal candidate for this role will possess an analytic mind, excellent communication skills and a passion for customer success.

Primary Responsibilities:

  • Functional business grouping of cloud IT environments for prospects and customers
  • Data analysis of cost, usage, performance, and availability in cloud IT environments
  • Business analysis of our customer’s cloud cost allocation processes
  • Implementing our cloud analytics platform into our customer’s cloud cost and IT environments
  • Prospect and customer project management and support
  • Liaison between customer and engineering

Qualifications:

  • MS or BS in IT or Finance, CS with MBA
  • 2-5+ years relevant experience
  • Finance and data analytics
  • Business intelligence and project management
  • Database programming in languages such as MySQL, R, SPSS
  • Experience working with Amazon Web Services (AWS) or equivalent
  • Working knowledge of IT and cloud infrastructure
  • Working knowledge of financial business processes
  • Superior communication and organizational skills
  • Proven outstanding customer awareness and success

Apply