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Full Time Business Analyst Data Science Jobs in Columbus, OH

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Our team balances business strategy, technology, creativity, and ongoing managed services to solve ... If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and ...

The Business Analyst will collaborate with cross-functional teams to support reporting initiatives, ensure data accuracy, and deliver insights that drive operational improvements. Key ...

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

Business Analyst Client is seeking a Business Analyst to assist with reporting project transition, data validation, and dashboard development in a data lake environment. Salary is $110-$120k, DOE ...

Business Analyst Client is seeking a Business Analyst to assist with reporting project transition, data validation, and dashboard development in a data lake environment. Salary is $110-$120k, DOE ...

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... full time positions with clients. Who Should Apply? Recent Computer science/Engineering ...

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Full Time Business Analyst Data Science information

See Columbus, OH salary details

$19

$43

$71

How much do full time business analyst data science jobs pay per hour?

As of May 28, 2026, the average hourly pay for full time business analyst data science in Columbus, OH is $43.90, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $51.54 per hour, depending on experience, location, and employer.

What is the difference between Full Time Business Analyst Data Science vs Data Analyst?

AspectFull Time Business Analyst Data ScienceData Analyst
Required CredentialsBachelor's in Business, Data Science, or related; often certifications in data analysis or business analysisBachelor's in Statistics, Data Analysis, or related; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentBusiness settings, cross-functional teams, project-basedData-focused teams, reporting, data visualization tasks
Employer & Industry UsageFinance, healthcare, retail, consulting firmsMarketing agencies, finance, tech companies

Full Time Business Analyst Data Science roles focus on analyzing data to inform business decisions, often requiring a mix of technical and business skills. Data Analysts primarily handle data collection, cleaning, and visualization. While both roles involve data handling, Business Analysts Data Science typically engage in more complex modeling and strategic insights, making them suitable for roles requiring a broader understanding of business context.

What are popular job titles related to Full Time Business Analyst Data Science jobs in Columbus, OH? For Full Time Business Analyst Data Science jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Full Time Business Analyst Data Science jobs in Columbus, OH look for? The top searched job categories for Full Time Business Analyst Data Science jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Full Time Business Analyst Data Science jobs? Cities near Columbus, OH with the most Full Time Business Analyst Data Science job openings:
Business Analyst (Data & AI)

Other

Posted 15 days ago


Job description

Position summary
The Business Analyst (BA) for the Data & AI team will play a critical role in bridging
business needs and technical execution across data, analytics, and AI initiatives. This
role involves gathering and refining requirements, mapping business workflows,
identifying automation opportunities, enabling data-driven decision-making, and
supporting delivery teams through clear documentation and alignment with
stakeholders.
Key Responsibilities:
Business & Functional Analysis
Collaborate with business stakeholders to understand goals, challenges, data,
and workflow optimization needs related to analytics and AI initiatives.
Translate business objectives into detailed functional and non-functional
requirements.
Document current-state and future-state business processes, identifying gaps
and opportunities for automation or AI-driven optimization.
Support data governance and data quality initiatives by defining business rules
and validation logic.
Data & Analytics Support
Partner with data engineers, and analysts to define data requirements and
ensure availability of high-quality datasets for AI and analytics use cases.
Define KPIs, metrics, and success measures for analytics and AI solutions.
Support data & model validation and testing processes by aligning technical
outputs with business expectations.
Assist in the development of data mapping, dashboards, reports, and
visualizations for business insights.
Project Execution & Delivery
Maintain clear documentation - including requirements, user stories,
acceptance criteria, data dictionaries, and workflow diagrams.
Collaborate closely with product managers and technical leads to prioritizing
work and managing delivery timelines.
Support PoCs and pilots for new AI and data capabilities, including workflow
documentation and impact assessment.
Facilitate meetings, stand-ups, and stakeholder reviews to ensure clarity and
alignment.
Continuous Improvement
Identify process improvement opportunities enabled by data or AI technologies.
Support change management and communication for new data/AI solutions
across business units.
Stay curious and current with industry trends and best practices in data analytics,
AI, and automation.
Required Skills:
Strong analytical & critical thinking skills, with the ability to clearly articulate
problems and support designing scalable solutions for complex business
needs.
Willingness to learn new things and adapt quickly to a team and enterprise
undergoing positive transformation and growth
Ability to foster a sense of purpose among the team and create a culture of
transparency with clear accountabilities and metrics
Demonstrated ability to foster a culture of innovation and a high-agency
mindset
Excellent communication and collaboration skills, with the ability to work
across teams and with business stakeholders.
Qualifications:
Bachelor's degree in Business, Information Systems, Computer Science, or
related field.
5+ years of experience as a Business Analyst, preferably within data, analytics,
or AI-driven initiatives.
Strong understanding of data platforms, ETL/data pipelines, data warehousing,
AI and BI tools.
Experience collaborating with cross-functional engineering and business teams.
Familiarity with AI/ML concepts, cloud platforms (e.g., AWS), and data & AI
governance practices.
Excellent communication, analytical thinking, and stakeholder management
skills.
Proficiency in tools such as JIRA, Confluence, Tableau, Snowflake, Collibra, and
SQL (for data validation preferred).
Prior insurance industry experience is a plus