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Afternoon Data Analyst R Programming Jobs in Strongsville, OH

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... Data Science, Business, Mathematics, Statistics, Engineering, or a related discipline Plus, a minimum of 1 year of experience in the job offered or as an Analyst or A Bachelor's degree (or foreign ...

New

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

The Data Platform Engineer is responsible for designing, maintaining, and optimizing the ... This role ensures that data pipelines, storage systems, and analytics platforms operate efficiently ...

Data Solutions Engineer

Cleveland, OH

$110K - $133K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Strongsville, OH salary details

$31.4K

$76.3K

$125.5K

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

As of Aug 7, 2026, the average yearly pay for afternoon data analyst r programming in Strongsville, OH is $76,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Strongsville, OH? For Afternoon Data Analyst R Programming jobs in Strongsville, OH, the most frequently searched job titles are:
What cities near Strongsville, OH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Strongsville, OH with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Strongsville, OH as of June 2026, with employment types broken down into 5% As Needed, 64% Full Time, 21% Part Time, 3% Temporary, 6% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,252 per year, or $36.7 per hour.

Manager, Open Data and Analytics

City of Cleveland

Cleveland, OH

$85K - $95K/yr

Full-time

Posted 16 days ago


City Of Cleveland (Ohio) rating

7.9

Company rating: 7.9 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

412th of 842 rated public administrative organizations


Job description

Description Manager, Open Data and Analytics Overview Manager, Open Data and Analytics leads the Open Data and analytic efforts for the City of Cleveland in the Office of Urban Analytics and Innovation (Urban AI). This role reports to the Director. Examples of Duties Coordinates with staff involved in the development, implementation, and improvement of departmental programs, services, and/or operational processes.

Supervises and oversees planning, analysis, coordination, implementation, and documentation of departmental activities to ensure alignment with goals, objectives and established standards. Responsible program planning, including the development and review of project plans to ensure objectives and requirements are met. Resolves issues related to staffing, resources, timelines, or operational priorities and addresses complex administrative or operational matters.

Evaluate and/or assess effectiveness of programs and recommend improvements. May oversee planning, budgeting, and activities related to departmental programs, services, or operational resources. Monitors project timelines and expenditures to ensure.

Prepares reports regarding program activities, project status, and operational issues. Performs other job-related duties as required. Minimum Qualifications Bachelor's degree in Business Administration, Public Administration, or a related field from an accredited four-year college or university required.

(Substitution: Two years of any equivalent combination of education, training and experience may substitute for each year of college education lacking. (Substitution: A project or program management certification may substitute for up to two years college education.) Five years of full-time paid experience in program or project management, administrative operations, or a related field required. Must be proficient in the use of computers and common office software applications

Must possess strong written, verbal, organizational, communication, and time management skills. Must be able to lift and carry a minimum of thirty (30) pounds. Valid State of Ohio Driver's License required.

Supplemental Information The Open Data and Analytics team in Urban AI enables improved decision-making through data analytics; increases transparency and quality control through access to data; and establishes data governance. At its core, this team is responsible for establishing a culture of data and continuous improvement in City Hall as we seek to modernize city hall, improve operations, and better deliver services to residents. Responsibilities include: Define and lead complex, cross-departmental analytics and data projects to successful completion.

Develop and launch complex analytic solutions that support city strategic initiatives. Oversee the operations of the city's Open Data Portal and plan for continuous improvement and optimization of the portal. Support city departments in using analytic tools (Power BI, GIS).

Develop and implement change management strategies and plans that maximize employee adoption and usage ofdata and analytic products. Facilitate ongoing community engagement and awareness of City data initiatives through partnerships with community organizations, nonprofits, hackathons, etc. Serve as the liaison to city staff, departments, consultants, and senior management.

Essential Duties & Job Functions Team lead and people manager for the data and analytics staff in Urban AI. Manage city-wide data and analytics projects. Determine tools, scope, timeline, and team members for assigned projects Execute projects efficiently, effectively, and completely including measuring project performance using appropriate project management tools Communicate with internal and external teams/stakeholders Partner with Innovation and Process Improvement leaders in Urban AI on complex, process-driven projects.

Implement data management systems and processes in partnership with the city-wide Data Warehouse team. Baseline initiatives against industry best practices and peer cities. Other duties as assigned.

Additional Minimum Qualifications Experience with analytic tools such as Power BI, Tableau, GIS, R Studio, Shiny Experience with programming languages such as SQL, Python, or R, preferred Proven self-management and team-management skills Ability to thrive in a project-based, team environment Customer-oriented attitude Excellent verbal and written communication skills Ability to establish and nurture beneficial stakeholder relationships Demonstrated ability to manage complex projects across multiple departments including monitoring project budgets and timelines Self-motivated with a willingness to take initiative and solve complex problems Strong attention to detail and the ability to adhere to strict deadlines; ability to multi-task Preferred Education and Experience 3 years full-time, paid, progressively responsible experience Project management or program administration experience Local government experience, preferred Experience as people manager and/or team lead, preferred A bachelor's degree or higher from an accredited college or university, required The City's guiding principles are as follows: Placing Clevelanders at the Center, Empowering Employees to Do Purposeful Work, Defining Clear and Pragmatic Objectives, Leading with Trust and Transparency, Striving for Equity in All We Do, and Embracing Change. All City employees are responsible for embracing and carrying out these principles in all that they do.


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