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Afternoon Data Analyst R Programming Jobs in Puerto Rico

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

Maintain and enhance data pipelines in collaboration with engineers when needed. * Ensure data ... Bonus / Preferred Skills * Familiarity with Python or R for data analysis or automation.

PROVIDER NETWORK SOLUTIONS OF PUERTO RICO LLC

PR · On-site

Como Data Analyst (Híbrido-PR), serás responsable de transformar volúmenes de datos en ... con Python, R, Access o Dynamics 365). • Habilidad para interpretar datos complejos y ...

PROVIDER NETWORK SOLUTIONS OF PUERTO RICO LLC

PR · On-site

Como Data Analyst (Híbrido-PR), serás responsable de transformar volúmenes de datos en ... con Python, R, Access o Dynamics 365). • Habilidad para interpretar datos complejos y ...

Acumenian

PR · On-site

... Jr. Data Analyst to join our consulting team and support the delivery of high-impact services ... A Bachelors degree in Engineering, Mathematics, Computer Science, Information Management, or ...

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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 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, and why are they important?

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 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 July 2026, with employment types broken down into 1% As Needed, 58% Full Time, 33% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Data Analyst

WORKSIMPLI SOFTWARE LLC

PR • On-site

$45K - $55K/yr

Full-time

Medical, PTO

Posted 19 days ago

Job description


???? Data Analyst

???? Location: San Juan, Puerto Rico (Hybrid – Remote Wednesdays)
???? Job Type: Full-Time | Monday to Friday
???? www.worksimpli.com

About WorkSimpli Software

WorkSimpli Software LLC is a fast-growing SaaS company based in San Juan, Puerto Rico, creating intuitive tools that make work more efficient. Our platform PDFSimpli.com is one of the top-ranked document editing tools online, helping millions streamline their workflows. We are expanding our data team and seeking a Data Analyst to turn data into insights and drive smarter decision-making across our products and operations.

Position Summary

As a Data Analyst, you’ll play a key role in helping our teams understand business performance, user behavior, and growth opportunities. You will gather, interpret, and present data that supports strategic decisions across marketing, product development, finance, and leadership.

This role is ideal for someone passionate about storytelling through data, curious about product and user behavior, and experienced with extracting insights from complex datasets.

Key Responsibilities

  • Collect, clean, and analyze data from internal systems (databases, product usage, marketing tools, etc.).
  • Build dashboards and visualizations that provide insight into KPIs, user engagement, and product performance.
  • Identify trends, patterns, and opportunities across platforms like PDFSimpli.com.
  • Work with Product, Marketing, and Executive teams to translate business questions into data questions—and deliver answers.
  • Conduct A/B tests and conversion analysis to support product and marketing optimization.
  • Write reports and present findings in clear, actionable formats.
  • Maintain and enhance data pipelines in collaboration with engineers when needed.
  • Ensure data integrity, consistency, and security.

Required Skills & Experience

  • 2–3 years of experience in data analysis, business intelligence, or a similar role.
  • Strong command of SQL for data querying and transformation.
  • Proficiency in Excel and data visualization tools like Tableau, Power BI, or Looker.
  • Experience with Google Analytics, Mixpanel, or similar web/product analytics platforms.
  • Ability to translate complex data into clear insights and actionable recommendations.
  • Excellent communication skills, both written and verbal.
  • Attention to detail and comfort handling large datasets.

Bonus / Preferred Skills

  • Familiarity with Python or R for data analysis or automation.
  • Experience working in a SaaS or digital product environment.
  • Understanding of customer behavior metrics, growth funnels, and product performance KPIs.
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake).
  • Exposure to A/B testing platforms and methodology.

Education Requirements

  • Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field.
  • Equivalent experience or certifications (Google Data Analytics, etc.) will be considered.

Why Join WorkSimpli?

  • Be part of a high-impact SaaS company serving millions of users worldwide
  • Work cross-functionally and directly influence product and business decisions
  • Hybrid work model with flexible schedule (Remote Wednesdays)
  • Health insurance, PTO, and competitive salary + bonus opportunities
  • Culture of collaboration, learning, and innovation