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Business Analytics Data Science Jobs (NOW HIRING)

Nissan Motor Co., Ltd.

Data Scientist

Smyrna, TN · On-site

Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...

VTG

Data Scientist

Chantilly, VA · On-site

... or business analytics due to the widespread use of data science concepts. Data scientists must be comfortable with regularly interacting with the customer/warfighter to receive feedback and guide ...

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Understand business context of analytics solution: Current state, problem, goals/objectives and ... Coordinate teams of analysts/data scientists/software engineers in performing and implementing high ...

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · Hybrid

MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field By providing your phone number, you consent to: (1) receive automated text ...

MITRE

Data Scientist, Associate

Mclean, VA · On-site

$59K - $60K/yr

... Business Analytics and Acquisition Affordability Department, where the role involves engaging with multidisciplinary teams and utilizing data science techniques to derive insights for strategic ...

Inteldot

Sr Data Scientist 35431

Juncos, PR · On-site

This role will innovate and create significant business impact through the strategic use of advanced analytics techniques. Requirements * Software Engineering or BA Data Science/Analytics

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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.

Telematics Data Scientist - Business Data & Analytics

Great American Insurance Group

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

52nd of 261 rated insurance

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
We are seeking a Telematics Data Scientist to build foundational analytics that connect claims and telematics data, uncover actionable driver-level insights, enable AI- and automation-driven capabilities, support IoT data discovery, and lay the groundwork for future telematics-enabled decision making.
The ideal candidate combines curiosity, data engineering, data science, and analytical skills with disciplined documentation and a product-minded approach, ensuring assets are reusable, scalable, and aligned to enterprise expectations.
Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions & Responsibilities
  • Develop and iterate claims-to-telematics join logic, contributing analytical, data engineering, and documentation capacity to expand the share of claims successfully linked to telematics data.
  • Build reusable analytical components that support future pricing enablement, including exploratory and production-ready logic for fleet behavior monitoring, trend-shift detection, and trip- and geography-based risk signals.
  • Identify opportunities where telematics-derived analytics can be embedded into AI- or automation-driven workflows.
  • Design and optimize Snowflake data structures (tables, schemas, and queries) to provide high-quality, scalable foundations for downstream modeling, reporting, and automation.
  • Document analytical logic, data structures, and decision rationale to support long-term maintainability, auditability, and knowledge transfer.
  • Improve schema design, reduce duplication, standardize table usage, and support onboarding of new telematics or IoT-derived data sources.

Job Requirements
  • Bachelor's in Data Science, Computer Science, Business Analytics, Neuroscience, or related fields. Master's degree in these fields would be highly preferred.
  • 3 or more years of related experience.
  • Strong SQL proficiency.
  • Experience with unsupervised machine learning techniques to surface patterns, hypotheses, and emerging risk signals.
  • Experience with hypothesis-driven modeling with domain-informed features and constraints.
  • Hands-on experience with Python for data transformation, feature engineering, and building data pipelines that support machine learning workflows and automation.
  • Strong documentation habits, with the ability to clearly explain analytical logic, data structures, and decisions.

Preferred Skills
  • Practical experience with Snowflake data modeling, including table and schema design and query performance optimization.
  • Experience with geospatial or grid-based analytics (e.g., H3 or similar).
  • Background in insurance, fleet, risk, or pricing analytics, particularly where telematics or sensor data is involved.

Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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