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Afternoon Data Analyst R Programming Jobs in Puerto Rico

C-Axis, Inc.

Quality Engineer

Caguas, PR · On-site

$62K - $68K/yr

... data. * Develop and execute Measurement System Analysis (MSA) activities including Gage R&R ... Requirements Bachelor degree in Engineering with at least 2 years related experience in engineering ...

C-Axis

Quality Engineer

Caguas, PR

$70K - $90K/yr

Provide technical expertise in the Quality arena to Manufacturing team and Engineering team as ... data. * Develop and execute Measurement System Analysis (MSA) activities including Gage R&R ...

Medtronic

Sr. Bus. Proc Improv Analyst

Villalba, PR · On-site

Collects data to identify root cause of problems. * Measures performance against process ... Provides consultation on the use of re-engineering techniques to improve process performance and ...

Medtronic

Sr. Bus. Proc Improv Analyst

Villalba, PR · On-site

Collects data to identify root cause of problems. * Measures performance against process ... Provides consultation on the use of re-engineering techniques to improve process performance and ...

Vast

PR · On-site

$95K - $165K/yr

You will sit close to the operation and to the product and engineering teams building its platform ... Python or R for analysis and modeling (pandas, scikit-learn, or equivalent). * Forecasting and time ...

Noblesoft Technologies

Manufacturing Engineer

Humacao, PR · On-site

$73K - $95K/yr

... Method Validations / Gage R&R · Generates and Issues for Approval SOPs and Manufacturing ... Analysis · Develops and Executes Process Characterizations / Design of Experiments (DOE) · ...

Medtronic

Sr Quality Engineer

Humacao, PR · On-site

$89K - $121K/yr

Experience using statistical and data analysis methods, including SPC, capability analysis, DOE ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...

Noblesoft Technologies

Manufacturing Engineer

Humacao, PR · On-site

$73K - $95K/yr

... Method Validations / Gage R&R · Generates and Issues for Approval SOPs and Manufacturing ... Analysis · Develops and Executes Process Characterizations / Design of Experiments (DOE) · ...

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Afternoon Data Analyst R Programming information

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 the most commonly searched types of Data Analyst R Programming jobs in Puerto Rico?

The most popular types of Data Analyst R Programming jobs in Puerto Rico are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Puerto Rico?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in Puerto Rico look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Puerto Rico 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 Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 2% Temporary, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Quality Engineer

C-Axis, Inc.

Caguas, PR • On-site

$62K - $68K/yr

Full-time

Re-posted 15 days ago

Job description

Description
Essential Duties and Responsibilities, but are not limited to the following:
Plan and Lead projects
  • Plan and manage all process validation projects and customers related PPAP, FAI, V&V, DVT projects.
  • Manages all customer related change request from initiating to implementation with partnership from Engineering and Operations.
  • Responsible for Quality function activities during the production process including working with Quality Technician, Engineering, and customers on method of inspections, development of inspection sheets and ensure product/ process conformity to customer specifications.
  • Lead New Product Introduction (NPI) activities including manufacturing readiness, inspection method development, validation, planning, and quality documentation.
  • Support product transfer activities between manufacturing sites while ensuring process consistency, documentation completeness, validation requirements, and customer expectations are achieved.
  • Manage customer related change request from initiating to implementation with partnership from Engineering and Operations.

Quality Assurance Responsibilities
  • Provide technical expertise in the Quality arena to Manufacturing team and Engineering team as needed, including but not limited to method of inspections, gaging selection, validation requirement, regulation requirement and processing of inspection data.
  • Develop and execute Measurement System Analysis (MSA) activities including Gage R&R, Attribute Agreement Analysis, Bias, Linearity, and Stability studies.
  • Develop and monitor Statistical Process Control (SPC) methodologies, process capability studies (Cp/Cpk), trend analysis, and data-driven process improvements.
  • Participate in manufacturing risk assessments including PFMEA, process risk analysis, control plans, and implementation of risk mitigation activities.
  • Represent Quality function in the board talks, Gemba walks, and communicate issues, findings, solutions to respective team members.
  • Lead investigations related to Nonconforming Material Reports (NCR), Corrective and Preventive Actions (CAPA), Customer Complaints, and Root Cause Analysis while ensuring timely and effective implementation of corrective actions.
  • Uilize structured problem-solving methodologies including 8D, 5 Why, Fishbone Diagram, Pareto Analysis, DOE, and statistical analysis to identify root causes and implement sustainable corrective actions.
  • Develop, review, and maintain the Quality portion of SOPs, Inspection Sheets, Control Plans, and other quality documentation to ensure completeness, accuracy, and compliance.
  • Measure and Report Quality Metrics at plant level
    • Track all Quality and Delivery data
    • Create and presenting Monthly Quality Metrics at Plant level.
  • Provide technical guidance and support to Quality Inspectors to ensure that products and processes comply with the relevant requirements of the quality management system.
  • Provide technical support to the inspection process techniques
  • Ensure that all of the required in process inspections are performed and performed correctly.
  • Participate in internal audits, customer audits, supplier audits, and regulatory Audits. Support corrective actions resulting from audit findings.
  • Ensure compliance with customer requirements, ISO 13485, FDA Quality System Regulation (QMSR), and applicable regulatory requirements.
  • Support supplier quality activities including supplier corrective actions (SCAR), supplier investigations, incoming quality issues, and supplier performance improvement initiatives.
  • Serve as the Quality representative during customer meetings, technical discussions, audits, qualification activities, and issue resolution.
  • Lead cross-functional teams to resolve quality issues, implement corrective actions, and support manufacturing excellence.
  • Analyze manufacturing and quality data to identify trends, prioritize improvement opportunities, and support management decision-making.
  • Provide technical training and mentoring on quality tools, inspection methods, statistical techniques, and quality system requirements.

Continuous Improvements
  • Lead continuous improvement initiatives utilizing Lean Manufacturing, Six Sigma methodologies, Kaizen, 5S, statistical analysis, and process optimization techniques.
  • Provide recommendations to the plant management for improvement projects.
  • Identify and lead manufacturing improvement opportunities to improve process capability, reduce variation, improve yield, reduce scrap, and enhance operational efficiency.

Special Projects
  • Develop and manage special projects as assigned by management.

Requirements
Bachelor degree in Engineering with at least 2 years related experience in engineering
Experience in a metal manufacturing work environment preferred
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About C-Axis

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

51 - 200 Employees

Headquarters location

Hamel, MN, US

Year founded

1997

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