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Remote Data Analyst R Programming Jobs in Cincinnati, OH

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

Senior Data Analyst

Covington, KY ยท On-site +1

$80K - $153K/yr

Senior Data Analyst The Role We have an outstanding technology opportunity in the Core & Common ... Data engineering skills are a plus. Being 'in the data' is a core responsibility. * You have ...

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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Remote Data Analyst R Programming information

See Cincinnati, OH salary details

$32.6K

$79.3K

$130.5K

How much do remote data analyst r programming jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote data analyst r programming 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.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Cincinnati, OH? The most popular types of Data Analyst R Programming jobs in Cincinnati, OH are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Cincinnati, OH? For Remote Data Analyst R Programming jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Cincinnati, OH look for? The top searched job categories for Remote Data Analyst R Programming jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Data Analyst R Programming jobs? Cities near Cincinnati, OH with the most Remote Data Analyst R Programming job openings:

Principal Technical Data Analyst

Munich Re

Amelia, OH โ€ข Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part ofย Munich Re's Global Specialty Insuranceย division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.

Purpose:

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform business decisions, as well as documenting business requirements to ensure effective communication between stakeholders. This role will work closely with various teams to identify, analyze, and resolve data-related issues, and may assist the business with the creation of certain data assets through discovery sessions or build data assets to support data discovery and business decision-making. Additionally, they will be responsible to gather, analyze, evaluate, and document the business, functional, technical, security, performance, training, and data mapping requirements as needed.

Roles & Responsibilities:

  • Analyze and interpret large datasets to identify trends, patterns, and insights that inform business decisions.
  • Collaborate with stakeholders to understand business needs and identify opportunities for data-driven solutions.
  • Create and/or provide governance of the Software Development Life Cycle (SDLC) documentation needed by various teams (business users, testers, trainers, and applications development teams) to successfully develop and maintain infrastructure and business systems applications.
  • Assist in the creation of data assets through discovery sessions, working with business stakeholders to define requirements and identify key performance indicators.
  • Build data assets, such as data visualizations and reports, to support data discovery and business decision-making.
  • Develop and maintain documentation of business requirements, data assets, and data processes.
  • Work with data engineering and development teams to ensure that data assets are properly implemented and maintained.
  • Provide guidance and support to stakeholders on data analysis and interpretation, and help to identify and prioritize business needs.
  • Stay up-to-date with industry trends and emerging technologies in data analysis and business intelligence.
  • Identify and communicate data quality issues and opportunities for process improvements.
  • Facilitate collaboration and communication between stakeholders, data engineers, and developers to ensure that data needs are met.

Required Technical Skills:

  • Proficiency in data analysis and visualization tools such as Power BI, and Power Platform.
  • Strong programming skills in languages such as SQL, Python, or R.
  • Experience with data modeling and data warehousing concepts.
  • Familiarity with cloud-based data platforms such as Databricks, Amazon We Services (AWS), or Microsoft Azure.
  • Strong understanding of data quality and data governance principles.
  • Experience with agile development methodologies and version control systems such as Git.
  • Strong technical writing and documentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders.

Education, Certifications & Designations:ย 

Required:ย 

  • Graduate degree in Business Analytics, Data Science, Information Systems, Mathematics, Statistics, Computer Science or related fieldย  - or -ย A combination of education and experience that demonstrates equivalent skills and knowledge.

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

    • Two options for your health insurance plan (PPO or High Deductible)
    • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
    • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)
    • Prescription drug coverage (included in your health insurance plan)
    • Short and Long Term Disability coverage
    • Vision and dental insurance plans

In addition to the above insurance offerings, our employees also enjoy:

  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. ย 

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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