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Afternoon Data Analyst R Programming Jobs in Valley City, OH

Pwc

Data Strategy-Manager

Cleveland, OH

$99K - $232K/yr

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

USG, Inc.

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

The ideal candidate will work closely with data analysts, data scientists, and software engineers to ensure reliable, high-quality data is available for analytics and business intelligence. Key ...

Pwc

Data Governance- Manager

Cleveland, OH

$99K - $232K/yr

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

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Showing results 21-40

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Valley City, OH

Afternoon Data Analyst R Programming information

See Valley City, OH salary details

$32.1K

$78K

$128.4K

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

As of Aug 11, 2026, the average yearly pay for afternoon data analyst r programming in Valley City, OH is $78,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,600.00 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 cities near Valley City, OH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Valley City, OH with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Valley City, OH as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $78,030 per year, or $37.5 per hour.

Strategic Data Analyst - CICIP-CICIP Program

MetroHealth

Cleveland, OH • On-site

Full-time

Re-posted 2 days ago

Job description

Location: METROHEALTH MEDICAL CENTER
Biweekly Hours: 80.00
Shift: 8:30am - 5:00pm
The MetroHealth System is redefining health care by going beyond medical treatment to improve the foundations of community health and well-being: affordable housing, a cleaner environment, economic opportunity and access to fresh food, convenient transportation, legal help and other services. The system strives to become as good at preventing disease as it is at treating it. Founded in 1837, Cuyahoga County's safety-net health system operates four hospitals, four emergency departments and more than 20 health centers.
Job Summary:
Supports the evolving need of managing the outcomes for Care Innovation and community Improvement Program (CICIP) population health initiatives with respect to social determinants of health to include managing the metrics and outcomes. The outcomes can be related to any of the quadruple aim expectations including financial, patient experience, clinical quality, and provider experience outcomes. The work involves connecting the outcomes and processes to the CICIP work. Upholds the mission, vision, values, and customer service standards of The MetroHealth System.
Qualifications:
Required:
  • Bachelor's Degree in Business, Finance or Health-focused major or any equivalent combination of education, training, and experience in addition to the experience stated below.
  • One to five years of progressive financial analytical experience in healthcare.
  • Highly proficient in MS Excel, PowerPoint, Word.
  • Foundational knowledge of relational database structures.
  • Experience with SAS/SQL or similar programming languages.
  • Strong analytical, critical thinking, forecasting, communication skills (verbal and written).
  • Working knowledge of healthcare data and inter-related nature of coding nomenclatures (e.g., DRG's, CPT's, etc.).
  • Experience requesting and extracting data from healthcare information systems.
  • Demonstrated ability to manipulate and analyze data derived from disparate sources.
  • Beginner to intermediate knowledge of healthcare utilization review, revenue cycle, cost allocating and their impacts on financial and strategic performance.
  • Ability to take abstract thoughts or ideas, hone them into an analytical plan, and support leadership-ready reports.

Preferred:
  • Experienced in project valuation, statistical significance testing, business case analysis and development.
  • Prior Epic experience.
  • Experience with data visualization programs like Tableau.
  • Experience with social determinant and community resource referral software like Unite Us and Pathway HUB.
  • Knowledge of artificial intelligence, machine learning, or deep learning methods.
  • Experience with statistical modeling/testing and regression analysis.
  • Experience with a large healthcare hospital system (public system highly desirable).

Physical Demands:
  • May need to move around intermittently during the day, including sitting, standing, stooping, bending, and ambulating.
  • May need to remain still for extended periods, including sitting and standing.
  • Ability to communicate in face-to-face, phone, email, and other communications.
  • Ability to read policies, financial statements, statistical reports, etc.
  • Ability to use computer.

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