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Afternoon Data Analyst R Programming Jobs in Medina, OH

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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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Medina, OH

Afternoon Data Analyst R Programming information

See Medina, OH salary details

$30.3K

$73.5K

$121K

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

As of Aug 17, 2026, the average yearly pay for afternoon data analyst r programming in Medina, OH is $73,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 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 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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Medina, OH?

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

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

The top searched job categories for Afternoon Data Analyst R Programming jobs in Medina, OH are:

What cities near Medina, OH are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Medina, 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 Medina, OH as of June 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $73,548 per year, or $35.4 per hour.

Analyst

Tata Consultancy Service Limited

Cleveland, OH • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Skill: Reporting Analyst - Google Cloud
Job Summary:
  • Were seeking a CI/CD Engineer to support the design, implementation, maintenance and lifecycle of the Finance Data Product that enables secure, reliable, and efficient software releases.
  • In this role, you will partner with our Finance, Regulatory Reporting, Treasury and other finance teams alongside our application and platform engineering teams to design and implement modern finance data solutions that scale across the organization and improve the speed and consistency of data delivery.
  • This is a strong fit for someone who enjoys solving complex problems, building better data, reducing friction in the data delivery and pipeline lifecycle, and building standardized solutions that encourage broad adoption.
  • The role offers the chance to influence data pipeline standards, strengthen platform capabilities, and help shape a delivery ecosystem built for speed, quality, and resilience.

Essential Functions:
  • Pipeline Engineering: Architect, build, and evolve scalable, reusable, and secure CI/CD pipelines in GitLab that support modern, multi-language, microservice-based applications.
  • Release Orchestration & Gating: Integrate deployment pipelines with change-management and compliance systems like ServiceNow to automate change requests and pipeline gates without manual overhead.
  • Artifact Management: Administer package and container registries (e.g., JFrog Artifactory, GCP Artifact Registry) and support tooling to facilitate developer interactions with the registries.
  • Cloud Deployment: Collaborate on building secure, repeatable deployment templates targeting Google Cloud Platform (GCP) services (such as GKE, Cloud Run, GCS, Dataform, and IAM).
  • Developer Enablement: Create CI/CD templates and self-service automation that help product engineering teams launch new services quickly with secure defaults and built-in quality controls.
  • Quality & Security Gating: Embed static analysis (SAST/DAST), Software Composition Analysis (SCA), and unit/integration test gates directly into merge request pipelines.
  • Operational Excellence: Diagnose and resolve complex build, runner, caching, and deployment issues.
  • Infrastructure-as-Code: Interpret and write terraform. Debug state and provide guidance to developers.
  • Documentation: Author clear, accessible developer playbooks, architectural diagrams, and migration guides to drive inner-source contributions and pipeline adoption.

Work Experience:
  • 2+ years of experience in DevOps, CI/CD, Site Reliability Engineering (SRE), or full-stack development with hands-on exposure to CI/CD.

Required Technical Skills:
  • Scripting: Proficiency in at least one programming language, such as Python, Go, or Javascript, along with shell scripting (Bash) to develop automation, integration workflows, and internal developer tooling.
  • Public Cloud Platform: Solid foundation in Google Cloud Platform (GCP), especially services such as GKE, Cloud Run, Cloud Build, IAM role bindings, and VPC service controls in modern cloud-native delivery environments.
  • Source & Pipeline Orchestration: Hands-on experience with GitLab, including branching strategies, GitLab CI YAML, matrix builds, parent-child pipelines, caching, and custom runner configuration in production-grade environments.

Preferred Technical Skills:
  • Infrastructure-as-Code (IaC): Solid understanding of Terraform configuration and state management to provision pipeline and cloud resources safely.
  • Scalability: Experience using Dataform to design, test, and manage scalable SQL-based data transformation pipelines in BigQuery with built-in version control and workflow orchestration.
  • Repository Management: Experience using GitLab or similar tool to manage and version-control code repositories, enabling collaborative development through branching, code review, and integrated DevOps workflows.
  • Automated Release Gating & API Integration: Hands-on experience integrating pipelines with REST APIs, webhooks, OAuth-based services, ServiceNow APIs, and other enterprise platforms to support low-touch change control, status checks, and cross-system workflow automation.

Salary Range - $90,000-$110,000 a year
TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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