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Business Intelligence Data Scientist Jobs (NOW HIRING)

FB Society

Director of Business Intelligence & Data

Dallas, TX · On-site

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Conduct data science tasks such as regression, classification, clustering, or predictive modeling ... Business Intelligence & Data. You will play a pivotal role in shaping the future of restaurant ...

TAD PGS, Inc.

Data Scientist

Washington, DC

$52.88 - $57.69/hr

  • Medical

  • Retirement

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the customer's business intelligence reporting capabilities ...

TAD PGS, Inc

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

  • Medical

  • Retirement

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the customer's business intelligence reporting capabilities ...

GRVTY

Senior Data Scientist

Saint Louis, MO

... modern business intelligence tools. * Experience applying machine learning or artificial ... Experience mentoring junior data scientists or leading technical modernization initiatives.

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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.

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 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.

Business Intelligence Data Engineer

Golden State Foods

Frisco, TX • On-site

$107K - $128K/yr

Full-time

Re-posted 4 days ago

Golden State Foods rating

6.3

Company rating: 6.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

309th of 438 rated food and drinks producers

Job description

Description
ABOUT GOLDEN STATE FOODS
Golden State Foods is a distinguished leader in the food service industry, offering an extensive array of products and services to a diverse clientele. Rooted in the values of quality service and integrity, we are dedicated to creating a supportive and inclusive atmosphere where employees can advance, innovate, and contribute to our ongoing success.
JOB SUMMARY
The Data Engineer will be responsible for full cycle of DW development including analyzing the business requirements and designing the ETL processing using dimensional modeling, where applicable, to present the data to the presentation layer for reporting consumption, and post
deployment, e.g. production support. The Data Engineer will be responsible to gather, collect, store, transform, and schedule (batch or real time) pipelines on the data and serve it any visualization tools.
The Data Engineer will also be responsible for evaluating the many BI/DW tools. available, incorporating them into the data platform and educating others on how best to use them.
WHAT YOU'LL DO:
  • Work with business requirements to identify and understand source data systems; provide resolutions to all data issues and coordinate with data analyst to validate all requirements, perform interviews with all users and developers.
  • Map source system data to data warehouse tables
  • Develop and perform tests and validate all data flows and prepare all ETL/ELT processes according to business requirements and incorporate all business requirements into all design specifications.
  • Define and capture metadata and rules associated with ETL processes
  • Adapt ETL processes to accommodate changes in source systems and new business user requirements
  • Collaborate with all developers and business users to gather required data and execute all ETL programs and scripts on systems and implement all data warehouse activities and prepare reports for same.
  • Provide support and maintenance on ETL processes and documentation
  • Build partnerships across the application, business, and infrastructure teams
  • Strive to continuously improve the software delivery processes and practices
  • Champion company standards and best practices

Additional Responsibilities
  • Accountable for properly following all IT standards, processes and methodologies as applicable including but not limited to Quality Assurance (QA)
  • Other responsibilities and accountabilities may be assigned based on business and organization needs.

MINIMUM QUALIFICATIONS :
Education/Certification: Four year college in a quantitative field such as Computer Science / Computer Information Systems or commensurate work experience .
Experience:
  • Industry experience as a Business Intelligence Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from various systems.
  • Required: Expert in ETL tools specifically Matillion
  • Creative in finding new solutions and designing innovative methods, systems and processes
  • Desire to create and build new predictive/optimization tools for structuring datasets
  • Extensive experience Data Warehousing development: Star Schema modeling, slowly changing dimensions, row-level security, standard DW architecture/processes, troubleshooting and production support.

Preferred Qualifications
  • Experience with AWS such as Redshift, EC2, S3, Pythons
  • Strong analytic skills for working with structured and/or unstructured datasets
  • Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment
  • Experience with connecting data sets to data visualization tools and creating reports using PowerBI or other visualization tool s.

CORE COMPETENCIES
The following universal core competencies apply to every job at Golden State Foods. Performance expectations are based on the specific job and grade level.
GSF VALUES
Maintains the highest standards. Treats others the way you'd like to be treated. Makes the best product. Gives the customer a fair deal.
TRUST
Exhibits sense of fairness. Leads by example. Consistently lives the Values and Creed. Builds trust by being willing to say " I made a mistake". Assures that promises are met on time, every time.
INSPIRATION TO OTHERS
Walks the talk. Is supportive of others. Helps others develop great ideas. Looks for the best in others. Rewards positive performance . Finds ways to succeed, not reasons to fail. Is willing to do jobs "below them". Addresses failures in the process, not the people. Accepts responsibility for own failures. Creates vision for team.
DRIVES TOWARDS HIGHEST QUALITY RESULTS
Is creative and innovative. Is a prudent risk-taker. Always looks for new methods and better ways to run the business. Meets annual goals and objectives. Has a passion for the business . Is willing to change. Puts forth quality efforts.
INTEGRITY
Represents self honestly in all situations, even if it exposes mistakes or weakness. Gives the customer a fair deal. Always does the right thing, even when no one is watching. Walks the talk. Meets commitments. Applies rules across all levels - no exceptions.
OPEN & HONEST COMMUNICATION
Is timely in communications in both directions. Listens actively. Speaks directly, (say what you mean - mean what you say). Listens with empathy and without judgment. Gets all the facts before jumping to conclusions.
TEAM PLAYER/PARTNERSHIP
Avoids acting like a big shot. Shares success with others. Recognizes others achievements timely. Reacts constructively to mistakes . Is willing to do whatever is necessary to get job done. Puts other's success first. Values team over individual. Acknowledges others with Golden Spirit Awards. Creates win/win situations.
WHY JOIN US
Golden State Foods (GSF) is one of the largest diversified suppliers in the food industry, manufacturing a range of products including sauces, dressings, condiments, syrups, and toppings for leading restaurant and retail brands.
Join GSF and grow your career with a global food industry leader who:
  • People First: At Golden State Foods, we're not just a company; we're a dynamic community where your talents are celebrated, and your ambitions are nurtured.
  • Values Driven: Our core values drive everything we do, creating a culture of innovation, integrity, and excellence. But we're not content with just being great; we strive for greatness in every aspect of our work.
  • People Development: At GSF we strive to continually develop our people to prepare us all for the needs of tomorrow.
  • Philanthropy & Sustainability: We're committed to making a difference beyond our walls through philanthropy and sustainability efforts across all our locations around the globe.
  • Extensive Benefits: Golden State Foods believes in a holistic approach to wellness focusing on the whole person with benefits that support those needs.
Equal Opportunity Employer:
We're proud to be an equal opportunity employer. Our company values diverse perspectives and is committed to creating an inclusive and respectful workplace where every person is supported and empowered to thrive.

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