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Afternoon Data Analyst R Programming Jobs in San Juan, PR

Cloud Data Engineer

San Juan, PR · Hybrid

$112K - $134K/yr

You'll contribute to product development in programming, data analysis and CI/CD infrastructure Responsibilities : * Application design and development in streaming or batch mode over Kafka and Spark

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Afternoon Data Analyst R Programming information

See San Juan, PR salary details

$33.3K

$81K

$133.4K

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

As of Jul 28, 2026, the average yearly pay for afternoon data analyst r programming in San Juan, PR is $81,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $95,100.00 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, 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 San Juan, PR? The most popular types of Data Analyst R Programming jobs in San Juan, PR are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in San Juan, PR? For Afternoon Data Analyst R Programming jobs in San Juan, PR, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in San Juan, PR look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in San Juan, PR are:
Data Analyst III

Full-time

Retirement, PTO

Posted 14 days ago


Job description

IEM is looking for a Full Time - Data Analyst III to work within our Puerto Rico Critical Infrastructure team. The Data Analyst III role is responsible for transforming complex data into actionable insights. This position analyzes large data sets, develops predictive models, and produces reports that guide business decisions. The Data Analyst III ensures data integrity, identifies trends within client populations, and collaborates with teams to streamline data processes. Additionally, the role involves defining data requirements, optimizing reporting, and effectively communicating results in a fast-paced, dynamic environment.

Primary Location:

  • Candidate must live a commutable distance to San Juan or Guaynabo, Puerto Rico.
  • Work in an Office Environment

Travel Requirements:

  • This position may require travel to complete work assignments or attend meetings.

Essential Functions:

  • Work with large data sets.
  • Develop data analysis and forecast models.
  • Extrapolate conclusions from large data sets.
  • Develop, maintain, and optimize data processing scripts and analytical workflows using programming languages such as Python, R, SQL, or similar, as well as low-code platforms including Power Apps, Power BI, and Appian.
  • Design and implement automated data pipelines to extract, transform, and load (ETL) data from multiple sources, leveraging both traditional programming approaches and tools such as Power Platform and Appian integrations.
  • Build reusable code libraries, scripts, and application components to support data validation, transformation, and reporting processes across platforms such as Power BI, Power Apps, and Appian.
  • Integrate data across multiple platforms and systems-including Power Platform (Power BI, Power Apps), Appian, and enterprise databases-to improve accessibility, consistency, and reporting efficiency.
  • Analyze data and generate useful business reports.
  • Maintain databases and conduct routine maintenance as needed to ensure data integrity.
  • Outline the specific data needs for each client and/or business method analysis project (e.g. gather end user business requirements).
  • Communicate with client teams about data changes or requirements.
  • Work with management team to create a prioritized list of needs.
  • Effectively collaborate with IEM's Disaster Response & Recovery management and system development team to understand company needs and devise possible solutions, including the ability to:
  • Identify and recommend efficient streamlined data and reporting processes.
  • Streamline data collection and analysis procedures to ensure fast access to metrics.
  • Optimize joint development efforts through appropriate database use and project design.
  • Communicate results and ideas to key decision makers.
  • Able to work under pressure and in short time frames.
  • Ability to be flexible and adapt quickly to changes during each assignment.

Minimum Qualifications:

  • Experience: Five (5) years or more of experience in data mining, management or analysis consulting.
  • Degree: Bachelor's degree from an accredited institution.
  • Bilingual: English and Spanish.
  • Programming Skills: Demonstrated experience with programming or scripting languages such as Python, R, SQL, or similar, including experience in data manipulation, automation, and reporting.
  • Advanced use of all Microsoft Office applications including Excel, Word, Outlook, Access, and PowerPoint.
  • Intermediate to advanced use of Tableau, Microsoft Project and Visio.

Preferred Qualifications:

  • Experience:Eight (8) years or more of experience in data mining, managementor analysis consulting.
  • Advanced Programming Experience: Experience building scalable data solutions, automation tools, dashboards, or integrations using programming languages and modern data platforms.
  • Knowledge of federally funded programs, processes, policy and requirements.
  • Experience in the operations of FEMA Public Assistance program and CDBG-DR.
  • Basic to intermediate use of internet platforms.
  • Consultative skills.

Additional Information:

  • Office Locations: Often, these offices are either owned by the client we work with or by IEM. All candidates are expected to follow any rules and regulations of the office in which they are required to work for that project.

Benefits and more:

  • 10 paid Holidays
  • Vacation Pay
  • Sick Pay
  • 401 (K) plan with matching
  • Company paid STD and LTD

Equal Employment Opportunity.All IEM employment decisions, including recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment, if necessary, are made without regard to an individual's race, color, religion, creed, sex (including sexual orientation, gender identity, and gender expression), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, pregnancy (including childbirth and related medical conditions), marital status, military or veteran status, citizenship or immigration status, or any other characteristic protected under applicable law.

Reasonable Accommodation.IEM is committed to providing reasonable workplace accommodations for individuals with disabilities. If you require assistance or reasonable accommodation during any part of the application or employment process, please email IEMhumanresources@iem.com with specific details about the requested accommodation. All accommodation requests are reviewed case-by-case in compliance with applicable law.