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Afternoon Data Analyst R Programming Jobs in Puerto Rico

CIS International LLC

PR

This role will lead advanced analytics projects from the front and will be responsible for end to ... Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn ...

QRC Group

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Doctorate or Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience Bachelors + 4 ...

Inteldot

Sr Data Scientist 35618

Juncos, PR · On-site

$90 - $130/hr

... engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business ...

New

Inteldot

Sr Data Scientist 35618

Juncos, PR · On-site

... engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business ...

On Point Strategy LLC

PR · On-site

$16.25 - $21.25/hr

Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a ... programming, or data visualization.

Pharmpix

PR · On-site

Perform data analysis by collecting and analyzing data & patterns, presenting findings ... programming requested by client or management, and perform testing. * Coordinate with IT department ...

Medtronic

Sr Quality Engineer

Humacao, PR

$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 intended ...

Medtronic

Sr Quality Engineer

Humacao, PR

$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 intended ...

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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.

Analyst, Information Technology (Data Engineer)

Oriental Financial Services LLC

San Juan, PR • On-site

$112K - $134K/yr

Full-time

Re-posted 6 days ago

Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.
MAIN DUTIES & RESPONSIBILITIES:
  • Design, develop, and maintain ELT/ETL pipelines for batch and event-driven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Git-based version control, CI/CD pipelines, and infrastructure-as-code practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong hands-on experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:
  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or near-real-time data (Kafka, Kinesis, or event-driven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:
  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)
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