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Business Intelligence Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Aug 14, 2026, the average yearly pay for business intelligence data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is business intelligence still in demand?

Business Intelligence Data Scientists are in high demand as organizations increasingly rely on data analysis, visualization, and tools like SQL, Python, and Tableau to make strategic decisions. The role continues to grow with the expansion of big data and analytics across industries, requiring strong technical skills and domain knowledge.

What is a business intelligence data scientist?

A Business Intelligence (BI) Data Scientist is a professional who analyzes complex data sets to help organizations make informed business decisions. They combine expertise in data analytics, statistics, and business knowledge to uncover trends, patterns, and insights from large volumes of data. BI Data Scientists use tools like SQL, Python, and visualization software to present actionable recommendations to stakeholders. Their work supports strategic planning, improves operational efficiency, and drives business growth.

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

To thrive as a Business Intelligence Data Scientist, you need expertise in statistical analysis, data modeling, and a strong background in mathematics or computer science, often supported by a relevant degree. Proficiency in tools like SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and experience with big data systems are commonly required. Strong problem-solving, communication, and business acumen help translate complex data insights into actionable strategies for stakeholders. These skills enable effective data-driven decision-making, maximizing business value and competitive advantage.

How does a business intelligence data scientist typically collaborate with other departments within an organization?

Business Intelligence Data Scientists frequently work cross-functionally with teams such as IT, marketing, sales, and finance to identify data needs and translate business questions into analytical projects. They collaborate closely with business analysts to understand requirements and with data engineers to ensure data pipelines are accurate and efficient. Effective communication is key, as they must present complex findings in a clear way to stakeholders who may not have technical backgrounds. This collaborative environment helps drive data-driven decision making across the organization.

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

AspectBusiness Intelligence Data ScientistBusiness Intelligence Analyst
CredentialsOften requires a degree in data science, statistics, or related fields; certifications like Certified Analytics ProfessionalTypically holds a degree in business, IT, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentFocuses on advanced data modeling, predictive analytics, and machine learning in data-driven teamsConcentrates on reporting, dashboards, and data visualization for business decision-making
Industry UsageUsed across industries for complex data analysis and predictive modelingCommonly employed in business settings for reporting and performance tracking

The main difference is that Business Intelligence Data Scientists focus on advanced analytics, predictive modeling, and data science techniques, while Business Intelligence Analysts primarily handle reporting, data visualization, and supporting business decisions with existing data. Both roles are essential in data-driven organizations but serve different analytical needs.

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What cities are hiring for Business Intelligence Data Scientist jobs?

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Business Intelligence Data Scientist jobs near you
Infographic showing various Business Intelligence Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $122,738 per year, or $59 per hour.

Working Student - Business Intelligence & Data Engineering

Continental

Okabena, MN • Hybrid

$47.25 - $61.50/hr

Full-time

Medical, PTO

Posted 11 days ago

Job description

Company Description

For 150 years we've been changing the way the world moves - now it is your chance to design the next chapter of the strategic growth field of Continental Tires. We are looking for you as an Customer Service specialist for the Shared Service Center.  

Job Description

As a Business Intelligence & Data Engineering Intern, you will:

  • Support the implementation of our data analytics solution
  • Work with SQL to manage and query large datasets
  • Transform and analyze data with Azure Databricks (SQL & Python)
  • Design and develop data pipelines using Azure Data Factory and Microsoft SQL Server
  • Collaborate with cross-functional, international teams to deliver data-driven insights
Qualifications

What You Bring:

  • Currently pursuing a degree in Computer Science, Data Science, Business Informatics, or a related field
  • Analytical mindset and a passion for working with data
  • Basic knowledge of SQL and Python
  • Familiarity with Business Intelligence approaches or relevant Azure services is a plus
  • Team player with good communication skills
Additional Information
  • A supportive and innovative environment to grow your skills
  • Mentorship from experienced data professionals
  • Flexible working hours and hybrid work options
  • Opportunity to contribute to impactful projects
  • Outlook: Opportunity to join an attractive career path
  • Health insurance package;
  • Company discounts;
  • Discounts in modern employee restaurant;
  • Extra paid time off;
  • Gross Salary: 1300 EUR (before withholding taxes)

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