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Business Analytics Data Science Jobs (NOW HIRING)

MITRE

Data Analytics

Mclean, VA · On-site

They are seeking an intermediate level Data Scientist to support their Business Analytics and Acquisition Affordability Department, focusing on cost estimation, investment economics, and strategic ...

New

Microsoft

Data Engineer

Redmond, WA · On-site

$119K - $234K/yr

Formulate business problems and translate them into actionable data science projects. * Explore, analyze, and centralize data to supply meaningful insights and create a single version of the truth.

Inizio Partners

Senior Data Scientist

New York, NY

$130K - $140K/yr

The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work ...

AS TRADE LLC

Data Scientist

Chicago, IL

... analysis results, and business recommendations Required Qualifications 2-3 years of experience in data science, analytics, data analysis, or related roles Strong SQL skills for querying, joining ...

PNC Bank

The Business Analytics Lead is responsible for delivering advanced analytics, data models, and ... Master's degree in Analytics, Data Science, Statistics, Computer Science, Economics, or a related ...

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Business Analytics Data Science information

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$19

$45

$74

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

As of Jun 21, 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 jobs can you get with a BS in data analytics?

A BS in data analytics can qualify you for roles such as Business Analyst, Data Analyst, Data Scientist, or Operations Analyst. These positions typically require skills in statistical analysis, data visualization tools like Tableau or Power BI, and proficiency in programming languages such as Python or R.

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.

Is data science and business analytics a good career?

Business analytics and data science are in-demand fields with strong job growth, competitive salaries, and opportunities across various industries. These roles typically require skills in statistical analysis, programming, and data visualization tools, making them suitable for individuals interested in problem-solving and data-driven decision-making.

What is the role of a data scientist in business analytics?

A data scientist in business analytics analyzes large datasets to identify trends, develop predictive models, and support decision-making. They use statistical methods, programming skills, and tools like Python or R to extract insights that help improve business strategies and outcomes.

Can a Business Analyst be a data scientist?

A Business Analyst can transition into a data scientist role by developing skills in programming, statistical analysis, and machine learning. While both roles analyze data, data scientists typically work with larger datasets and advanced modeling tools like Python or R, and often require more technical expertise. Gaining relevant certifications and experience in data modeling can facilitate this career shift.

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 June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $94,537 per year, or $45.5 per hour.

BUSINESS ANALYTICS SPECIALIST PD IN BUSINESS ANALYTICS PER DIEM 24523

new bridge health

Paramus, NJ • On-site

$20/hr

Part-time

Medical, Dental, Vision, PTO

Posted 17 days ago

Job description

Join Our Team at Bergen New Bridge Medical Center!**

We are dedicated to providing high-quality, compassionate care to our diverse community. As a leading healthcare provider, we offer a supportive and inclusive work environment. If you’re passionate about making a difference and thrive in a collaborative setting, Bergen New Bridge Medical Center is looking for a Business Analytics Specialist.

Job Duties

Collaborate with the Business Analytics and Strategy team to support additional workload for critical delivery for various projects.
Develop and implement advanced analytical models using statistical techniques, machine learning, and predictive analytics to support data-driven decision-making.
Design, build, and maintain ETL processes to extract, transform, and load data from multiple sources into a centralized data warehouse or other data storage systems.
Research data sources and adhere to national standards for data mastering, ensuring data accuracy and consistency across the organization.
Create visually compelling dashboards, reports, and presentations to communicate data findings and recommendations to the Director and other team members.
Assist with project planning and execution by providing data-driven insights and recommendations.
Monitor and evaluate the performance of implemented models and recommend improvements or adjustments as needed.
Work closely with cross-functional teams, including data engineering and business intelligence, to ensure data accuracy, consistency, and accessibility.
Stay current with industry trends, best practices, and emerging technologies in business analytics, data engineering, and data science.

Position Qualifications
Strong knowledge of statistical techniques, machine learning algorithms, and predictive analytics.
Proficiency in programming languages such as R, Python, or SQL.
Experience with data visualization tools like Tableau, Power BI, or Looker.
Excellent communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
Strong problem-solving and critical thinking skills, with a keen attention to detail.
Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Education
Bachelor’s degree in business Analytics, Data Science, Statistics, or a related field (preferred)

Salary commensurate with experience within posted range.

$20.00/ Hourly

We provide a comprehensive benefits package, including a competitive medical, dental, and vision plans. We prioritize work-life balance with a generous time off policy that includes ample vacation days, personal time, sick leave and nine paid holidays. Additionally, we are committed to the personal and professional growth of our employees, offering robust tuition reimbursement and continuing education programs to help support our employees ongoing development.

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