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Business Intelligence Data Analyst Jobs (NOW HIRING)

The Motley Fool

OR · On-site

The Business Intelligence/Data Analyst plays a critical role in driving strategic decision-making ... You will collaborate closely with senior BI team members and stakeholders across various ...

Booz Allen Hamilton

Intelligence Data Analyst

Sterling, VA · On-site

$77K - $176K/yr

Intelligence Data Analyst The Opportunity: As data analyst, you love diving into data and turning ... Work with us to drive large-scale business and process decisions through data insights. Join us.

Booz Allen Hamilton

Intelligence Data Analyst

Sterling, VA · On-site

$77K - $176K/yr

R0237468 Intelligence Data Analyst The Opportunity: As data analyst, you love diving into data and ... Work with us to drive large-scale business and process decisions through data insights. Join us.

Alliant

Senior Business Intelligence Analyst

Chicago, IL · On-site

$76K - $119K/yr

Perform complex data analyses to uncover insights, trends, and patterns that drive business ... Design, develop, and maintain interactive dashboards and reports using business intelligence tools ...

BluZinc

Director Business Intelligence Data Analysis

NY · On-site +1

$150K - $200K/yr

BluZinc is exclusively hiring a remote UAS based Director or Head of Business Intelligence and Data Analytics for a $100MM+ digital eLearning, mobile app, and online coaching business.Reporting to ...

Friendly Group

Business Intelligence Engineer

Westlake, TX · On-site +1

$49 - $63.50/hr

Requirements Required Qualifications • 3-5 years of experience in a Business Intelligence, Data, Analyst, or similar role. • Proficiency in SQL with hands-on experience in a cloud data warehouse ...

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

As of Jun 11, 2026, the average yearly pay for 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 are some typical daily responsibilities of a Business Intelligence Data Analyst?

Business Intelligence Data Analysts typically spend their days gathering and cleaning data from multiple sources, building and maintaining dashboards or reports, and conducting in-depth analyses to identify trends and opportunities. They often collaborate closely with business stakeholders to understand their needs and translate them into actionable data insights. Additionally, they may be responsible for troubleshooting data discrepancies, presenting findings to non-technical audiences, and providing recommendations for process improvements. This role offers a dynamic mix of technical tasks and business-oriented communication in a fast-paced environment.

What are the key skills and qualifications needed to thrive in the Business Intelligence Data Analyst position, and why are they important?

A Business Intelligence Data Analyst should possess strong analytical and quantitative skills, a solid understanding of data modeling, and a background in statistics or business-related fields. Familiarity with BI tools like Tableau or Power BI, proficiency in SQL, and certifications such as Microsoft Certified: Data Analyst Associate are often required. Exceptional problem-solving, communication, and collaboration skills help analysts translate complex data into actionable insights. These capabilities enable analysts to drive informed decision-making and contribute to strategic business growth.

What is a Business Intelligence Data Analyst job?

A Business Intelligence (BI) Data Analyst is responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. They use tools like SQL, Power BI, Tableau, and Excel to generate reports, dashboards, and insights. Their role involves identifying trends, measuring KPIs, and improving business processes by providing actionable recommendations. BI Data Analysts work closely with stakeholders to understand business needs and ensure data-driven decision-making. Strong analytical skills, problem-solving abilities, and knowledge of data visualization are key to success in this role.

More about Business Intelligence Data Analyst jobs
What cities are hiring for Business Intelligence Data Analyst jobs? Cities with the most 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 Business Intelligence Data Analyst jobs? States with the most job openings for Business Intelligence Data Analyst jobs include:
What job categories do people searching Business Intelligence Data Analyst jobs look for? The top searched job categories for Business Intelligence Data Analyst jobs are:
Business Intelligence Data Analyst jobs near you
Infographic showing various Business Intelligence Data Analyst job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 91% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,864 per year, or $48 per hour.
Business Intelligence Analyst (Contract)

Business Intelligence Analyst (Contract)

The Motley Fool

OR • On-site

Other

Posted 3 days ago

Job description

Who Are We?

The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years, we've been helping people make better investment decisions through transparency, education, and a healthy dose of Foolish fun. We're a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we're driven by the impact our work has on real people's financial futures.

What Does This Team Do?

Our Business Intelligence team acts like internal consultants. We help teams across the company do their jobs better by identifying opportunities and informing data-driven decisions. We don't just "pull data"-we uncover the stories buried in the numbers to guide our marketing, product, and member experience strategies.

What Will You Do in This Role?

The Business Intelligence/Data Analyst plays a critical role in driving strategic decision-making. You will collaborate closely with senior BI team members and stakeholders across various departments to analyze business performance and develop growth strategies.

Okay, but what will you actually do in this role?
  • Analyze datasets containing millions of records to identify trends, patterns, and exploratory insights.
  • Apply statistical methods and machine learning algorithms to solve complex business problems and forecast outcomes.
  • Partner with business teams to understand their strategy and goals, then translate them into actionable data initiatives.
  • Develop and maintain dashboards in Tableau that provide clear, jargon-free insights.
  • Work with data engineering and tech colleagues to automate and operationalize your models.
  • Provide data-informed recommendations with a quantifiable value to improve product features, engagement, and member experience.
  • Monitor key metrics and performance indicators to develop strategies for business impact.
You Might Be a Good Fit If You:
  • Are curious and love to learn, often taking things apart to understand how they work.
  • Thrive when learning something new every day and staying curious enough to uncover the stories buried in data.
  • Collaborate and communicate effectively with a consultative mindset and approach to working with stakeholders.
  • Have a proven ability to craft concise, actionable analyses and reports that tell a story about a business area or marketing campaign.
  • Consider yourself a scientist who can delve deep into large data sets to build clear, compelling analyses that unlock high-impact breakthroughs.
Required Experience and Skills:
  • 5+ years of experience in a business intelligence, data analysis, data-informed decision-making, or strategy role.
  • Proven ability to extract, manipulate, and transform large datasets via Python and/or SQL.
  • Proficiency in data visualization techniques and tools including Tableau.
  • Bachelor's degree, preferably in data science, finance, statistics, economics, or a related field.
  • Excellent communication and presentation skills, with the ability to translate complex data into clear insights for a non-technical audience.
  • Strong analytical and problem-solving skills with a proactive, consultative approach.
  • Statistical experiment design and testing including inferential statistics.
  • Ability to work independently and manage multiple projects simultaneously.
  • Experience or familiarity with financial services, digital publishing, or subscription products (preferred).
  • Proficiency with ML/AI techniques including predictive models to uncover insights and deploy optimizations (plus).
  • Experience working with web analytics platforms like Google Analytics (plus).
  • Experience with Jira/project management tools and Git-based workflows (preferred).

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