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Data Analyst R Jobs in Cincinnati, OH (NOW HIRING)

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

Expertise in programming languages such as Python, R, or similar programming languages for data analysis. * Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning ...

Aspect Retail Logistics

BI Analyst

Liberty Township, OH · On-site

At Aspect we focus on efficiency, people, financial & effective analytics to drive change and ... Understanding of cloud-based platforms (Azure, Snowflake, others) and data science tools (R, Python ...

Munich Re

Data Scientist

Cincinnati, OH · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Munich Re

Data Scientist

Amelia, OH · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Munich Re

Data Scientist

Amelia, OH · On-site

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Varsity Tutors

Data Science Tutor

Cincinnati, OH · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Showing results 21-40

All JobsData Analyst R JobsData Analyst R Jobs in Cincinnati, OH

Data Analyst R information

See Cincinnati, OH salary details

$32.6K

$79.3K

$130.5K

How much do data analyst r jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst r in Cincinnati, OH is $79,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

Is a data analyst in high demand?

Data analysts are in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in statistical analysis, data visualization tools like Tableau or Power BI, and programming languages such as R or Python enhance job prospects in this field.

What is a data analyst R?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

What skills and qualifications are needed for a data analyst R?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

What does a data analyst R do?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

What are popular job titles related to Data Analyst R jobs in Cincinnati, OH?

For Data Analyst R jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Data Analyst R jobs in Cincinnati, OH look for?

The top searched job categories for Data Analyst R jobs in Cincinnati, OH are:

Data Analyst R jobs near you
Infographic showing various Data Analyst R job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,291 per year, or $38.1 per hour.

Staff Data Scientist

Atlas Air

Erlanger, KY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Join Atlas Air Worldwide. Move the World with Us!
At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we're built on a foundation of safety, service excellence, integrity, innovation, teamwork, and responsibility. With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we're driven by purpose.
If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here.
Position Summary: We are looking for a brilliant and highly motivated Staff Data Scientist to join our innovative Data Analytics and Optimization team! This isn't just another analytics role - you'll be at the forefront of transforming Atlas Air through the power of data.
In this position, you will develop data-driven technology solutions for a variety of high-dimensional resource management problems in aviation involving complex trade-offs under uncertainty. You will collaborate with leaders across our organization to uncover hidden opportunities, tackle challenging data puzzles, and build sophisticated predictive and prescriptive models that drive real-world impact. Your insights won't just live in dashboards - the fruits of your work will shape our strategic direction, be operationalized in our processes, and will fuel our competitive advantage.
The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical concepts into compelling stories that inspire action among non-technical leaders.
If you're passionate about using cutting-edge science and technology to solve meaningful problems and want to be part of a team that values your analytical superpowers, this role is your next adventure!
Major Accountabilities:
  • Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities for leveraging data to drive business solutions around airline operations.
  • Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives, timelines and success metrics.
  • Translate business requirements into data science or analytics projects with well-defined deliverables and timelines.
  • Design and conduct experiments to test hypotheses and measure the impact of work against objectives.
  • Collect, process, clean, and analyze structured and unstructured data from various internal and external sources.
  • Extract, transform, and analyze large datasets from various sources.
  • Perform exploratory data analysis to uncover patterns, trends, and relationships within large datasets.
  • Design, develop, and maintain sophisticated decision support tools leveraging machine learning and optimization models and algorithms to solve business challenges and unlock value.
  • Create clear data visualizations and compelling narratives to communicate findings to technical and non-technical audiences.
  • Mentor less experienced data scientists, providing technical guidance, setting clear objectives, and fostering professional growth.
  • Stay current with emerging techniques and technologies in data science and machine learning.
  • Collaborate with data engineering to implement production-ready solutions.
  • Monitor model performance and iterate on solutions as needed.
  • Establish best practices and methodologies for the data science function.
  • Research and implement new methodologies and technologies to improve Atlas Air's data and AI/ML

Qualifications:
Must-Have:
  • Master's degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of hands-on experience in a data science or similar analytical role, with a track record of impact.
  • Expertise in programming languages such as Python, R, or similar programming languages for data analysis.
  • Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.).
  • Strong knowledge of statistical analysis and hypothesis testing.
  • Strong understanding of statistical modeling, machine learning algorithms, hypothesis testing, and optimization.
  • Excellent communication, presentation, and interpersonal skills with the ability to translate complex technical concepts to non-technical audiences.
  • Proven ability to translate business requirements into technical solutions.
  • Proven ability to apply software engineering best practices.
  • Experience working in production-grade Python code including proficiency with git, testing, and other software engineering best practices.

Nice-to-Have:
  • Master's degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Domain expertise in aviation, transportation, or logistics.
  • History of technical leadership on significant data science initiatives.
  • Contributions to related research publications and/or open-source projects.
  • Experience with big data platforms (e.g., Spark/Databricks).
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
  • Experience with optimization libraries (OR-Tools, Gurobi, or CPLEX)

Applicants must be legally authorized to work in the United States. This position is not eligible for employment visa sponsorship or employer immigration support either now or in the future.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking "EEO Is The Law" .
To view our Pay Transparency Statement, please click here: Pay Transparency Statement
Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package.
Pay Range
$165,000-$225,000 USD
At Atlas Air Worldwide, we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.

Apply