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$74

How much do business analytics data science jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for business analytics data science in the United States is $45.45, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $53.37 per hour, depending on experience, location, and employer.

What is business analytics data science?

Business analytics data science is a field that combines data analysis, statistical modeling, and technology to help organizations make data-driven decisions. Professionals in this area use various tools and methods to collect, process, and interpret large datasets, uncovering insights that can improve business performance and strategy. They often create predictive models, visualize trends, and provide actionable recommendations to stakeholders. The goal is to turn raw data into valuable information that supports business objectives.

What are the key skills and qualifications needed to thrive as a Business Analytics Data Scientist, and why are they important?

To thrive as a Business Analytics Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in tools such as Python, R, SQL, and data visualization platforms like Tableau, along with familiarity with machine learning libraries and sometimes certifications (e.g., Microsoft Certified: Data Scientist Associate), is typical. Critical thinking, effective communication, and business acumen are standout soft skills that help translate data insights into actionable strategies. These abilities are essential for turning complex data into valuable business solutions that drive informed decision-making and organizational growth.

How do Business Analytics Data Science professionals typically collaborate with other departments within an organization?

Business Analytics Data Science professionals frequently work cross-functionally, collaborating with teams such as marketing, finance, operations, and IT to understand business challenges and identify opportunities where data-driven insights can add value. They often participate in meetings to gather requirements, share analytical findings, and help stakeholders interpret data results to inform decision-making. This collaborative environment not only broadens exposure to different business areas but also enhances communication and project management skills, which are crucial for career growth in this field.

What is the difference between Business Analytics Data Science vs Data Analyst?

AspectBusiness Analytics Data ScienceData Analyst
Required CredentialsBachelor's or master's in data science, analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree in statistics, mathematics, or related fields; often no specific certifications required
Work EnvironmentCross-functional teams, strategic projects, often in tech, finance, or consultingOperational roles, reporting, dashboards, often in various industries
Employer & Industry UsageUsed in industries focusing on predictive modeling and advanced analyticsCommon in business operations, reporting, and data visualization

Business Analytics Data Science involves advanced statistical modeling, machine learning, and predictive analytics to inform strategic decisions. Data Analysts focus on interpreting data, creating reports, and visualizations to support daily business operations. While both roles require strong analytical skills, Business Analytics Data Science typically demands more technical expertise and programming knowledge.

More about Business Analytics Data Science jobs
What cities are hiring for Business Analytics Data Science jobs? Cities with the most Business Analytics Data Science job openings:
What states have the most Business Analytics Data Science jobs? States with the most job openings for Business Analytics Data Science jobs include:
What job categories do people searching Business Analytics Data Science jobs look for? The top searched job categories for Business Analytics Data Science jobs are:
Business Analytics Data Science jobs near you
Infographic showing various Business Analytics Data Science job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $94,537 per year, or $45.5 per hour.

Business Analyst - Legal Analytics / Data Science

Scott & Associates, PC

Plano, TX • On-site

$50K - $70K/yr

Full-time

Posted 6 days ago

Job description

Scott & Associates, PC is a well-established, multi-state legal recoveries firm.

Since our founding in 2000, we’ve grown into a leading force in debt recovery, providing trusted and comprehensive legal solutions for financial institutions nationwide.

Our teams are driven, collaborative, and committed to delivering results.


Position Details

We are seeking a motivated Business Analyst to join our Plano, Texas-based Data Science team.

The Business Analyst will support company-wide dashboarding, reporting, and data development across Operations, HR, Compliance, and other business areas.

Reporting to the Senior Manager of Automation and Analytics, this is a hands-on role focused on developing Power BI dashboards, building reliable data pipelines, and improving the quality and availability of reporting data.

The Analyst will work with business teams to understand reporting needs and create practical solutions that support better decision-making.


Minimum Qualifications

  • 0–3 years of experience in business analysis, reporting, analytics, or data-related roles.

Working knowledge of:

  • Power BI, including dashboard development, data modeling, and DAX
  • SQL, ETL processes, and data transformation
  • Excel, Power Query, pivot tables, and VBA
  • Experience using reporting and data tools to solve operational problems.
  • Bachelor’s degree in Business Analytics, Information Systems, Operations, Data Analytics, Computer Science, or a related field.

Preferred Qualifications

  • Experience building and maintaining Power BI dashboards.
  • Experience preparing and integrating data from multiple systems.
  • Experience building ETL pipelines and automated reporting processes.
  • Experience with SQL Server, FileMaker, or similar data systems.
  • Strong documentation and communication skills.

Responsibilities

  • Build and maintain Power BI dashboards, reports, and data models.
  • Develop and support data pipelines used for dashboarding and reporting.
  • Clean, validate, and transform data from multiple systems.
  • Work with business teams to gather requirements and improve reporting.
  • Create Excel tools and templates when needed to support business processes.
  • Document data sources, report logic, business rules, and user instructions.
  • Support testing, deployment, troubleshooting, and user training.

Apply