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Full Time Business Intelligence Data Analyst Jobs

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

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... business intelligence, data quality Qualifications Additional Information Full-time

Business Intelligence Analyst

Chicago, IL · Hybrid

$60K - $72K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will have experience with data visualization principals, analytics and BI tools that are ... As a Business Intelligence Analyst, your job duties will include but not be limited to: * Partner ...

Are you a data-driven professional with a passion for turning complex information into clear ... Nox Group of Companies seeks an exceptional Business Intelligence Analyst to join our software team ...

Business Intelligence Analyst

Dublin, OH · On-site

$75K - $95K/yr

Business Intelligence Analyst FULL-TIME/PART-TIME: Full Time LOCATION: Columbus/Dublin, OH React ... Experience with business intelligence/data analytics tools (Microsoft Power BI, Tableau, etc.)and ...

Showing results 21-40

Full Time Business Intelligence Data Analyst information

See salary details

$45.5K

$99.9K

$163.5K

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

As of Aug 14, 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.

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 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.

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 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:

Business Intelligence /Data Engineer

Technamo

Springfield, VA

Full-time

Re-posted 6 days ago


Job description

Company Description

TECHNAMO is a niche, dynamic IT services and solutions provider, VA SWaM certified, Microsoft Cloud Certified Partner, focused on providing IT Solutions & Services to government and commercial companies. Technamo is a Prime vendor for Maryland state agencies, Tier-I Contractor to provide IT Services to virginia govt. agencies (70+ entities) and contracted to provide services to state govt. New Jersey, Pennsylvania, Arkansas and Maryland govt. agencies.

Job Description

Business Intelligence / Data Engineer

Analyzing complex data structures in various data sources in heterogeneous  technology environment.

Analyze end customer automation requirements of systems integration, data sources, data structures, data types.

As a Business Intelligence / Data Engineer you will be responsible to create data-driven system based cloud enabled environment

Work with AI/ML services including integration of services and APIs to create new solutions in AWS/Azure cloud environment

You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization.

Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.

Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.

Qualifications
  • Candidate must have at the minimum, a Bachelor or higher degree or its equivalent in Computer Science or any engineering in related fields
  • Minimum 3 years of experience in data engineering, data wearehouse, reports
  • Experience with Data modeling, SQL, ETL , Data Warehousing and Datalakes
  • Experience in data analysis and engineering, ETL and analytics, reports and experience in building real-time data products
  • Experience in writing SQL scripts, functions, stored procedures, expertise in an enterprise  RDBMS
  • Experience with enterprise-class Business Intelligence tools such as Microstrategy,  Tableau, Penthao, etc.
  • Experience with scripting language such as Python, Perl, R or Javascript
  • Strong knowledge of AWS products and services
Additional Information

All your information will be kept confidential according to EEO guidelines.