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Business Intelligence Data Scientist Jobs (NOW HIRING)

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Contribute to PMIS, reporting, analytics, and business intelligence improvements across major ... Master's degree in data science, computer science, statistics, engineering, business analytics, or ...

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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 Jun 15, 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.

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.

More about Business Intelligence Data Scientist jobs
What cities are hiring for Business Intelligence Data Scientist jobs? Cities with the most Business Intelligence Data Scientist job openings:
What job categories do people searching Business Intelligence Data Scientist jobs look for? The top searched job categories for Business Intelligence Data Scientist jobs are:
Business Intelligence Data Scientist jobs near you
Infographic showing various Business Intelligence Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Temporary. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Manager, Business Intelligence Data Engineering

Senior Manager, Business Intelligence Data Engineering

Washington Nationals Baseball Club

Washington, DC

$115K - $125K/yr

Full-time

Posted 9 days ago

Job description

The Senior Manager, Business Intelligence & Data Engineering is responsible for architecting, building, and scaling the Nationals’ end-to-end data ecosystem to support strategic decision-making across the organization. This role combines data engineering, analytics, and data science, with ownership of core data products including forecasting models, reporting infrastructure, and business intelligence tools.

This individual will lead the design and development of scalable data pipelines, data models, and machine learning solutions that power revenue-driving functions such as ticket sales, marketing performance, financial planning, and customer retention. The role requires close collaboration with cross-functional stakeholders across Sales, Marketing, Finance, IT, Ticket Operations, and Partnerships to ensure data is effectively ingested, transformed, and delivered in actionable formats.

The Nationals are a military-friendly organization actively recruiting veterans and spouses.

Essential Duties and Responsibilities:

Data Engineering & Architecture

  • Design, build, and maintain scalable data pipelines and ELT workflows using Terraform, Google Cloud Platform, BigQuery, dbt, and Airflow.
  • Own the architecture and optimization of the Nationals’ cloud-based data warehouse and data lake.
  • Ingest and integrate data from key systems including ticketing, CRM, point-of-sale, marketing platforms, and MLB data sources.
  • Ensure data quality, governance, testing, and documentation across all pipelines and datasets.
  • Manage and optimize cloud infrastructure performance and cost efficiency.

Business Intelligence & Reporting

  • Develop and maintain dashboards and reporting solutions in Tableau to support business operations and executive decision-making.
  • Partner with stakeholders to translate business requirements into scalable data models and intuitive visualizations.
  • Enable near real-time reporting across revenue streams and operational metrics.
  • Support financial and operational reporting needs, including budgeting and forecasting workflows.

Data Science & Machine Learning

  • Own and enhance predictive models for:
    • Attendance forecasting
    • Ticket sales and revenue forecasting
    • Customer segmentation and retention
  • Apply statistical and machine learning techniques using Python.
  • Productionize models within the data platform and ensure ongoing monitoring, evaluation, and improvement.
  • Partner with leadership to translate model outputs into actionable business strategies.

Cross-Functional Collaboration

  • Collaborate with Sales, Marketing, Finance, IT, Ticket Operations, and Partnerships to identify opportunities and deliver data-driven solutions.
  • Act as a strategic partner in defining KPIs, measurement frameworks, and experimentation strategies.
  • Work with MLB and external vendors on data integrations and platform enhancements.

Leadership & Team Development

  • Manage and mentor the Analyst, Business Data Systems.
  • Establish best practices in data engineering, analytics, and data science workflows.
  • Foster a high-performing, innovative data culture within Business Strategy & Analytics.

Compensation:

The projected wage range for this position is $115,000 to $125,000 per year. Actual pay is based on several factors, including but not limited to the applicant’s: qualifications, skills, expertise, education/training, certifications, and other organization requirements. Starting salaries for new employees are frequently not at the top of the applicable salary range.

Equal Opportunity Employer:

The Nationals are dedicated to offering equal employment and advancement opportunities to all individuals regardless of their race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, genetic information, disability, or any other protected characteristic under applicable law.