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Afternoon Data Analyst R Programming Jobs in Holden, LA

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customize GIS workflow and software programs for data collection, engineering, and environmental ...

... Product Analyst to serve as the strategic link between business operations, product management ... operations teams, developers, QA engineers, architects, vendors, and data teams ...

New

Project Estimator

Prairieville, LA · On-site

$95K - $125K/yr

R. Cassidy, a Quanta Services, Inc. (NYSE:PWR) company, founded in 1975 brings together more than ... Analyze drawings, specifications, and other documentation to prepare time, cost, materials, and ...

Technical Analyst

Baton Rouge, LA · On-site

$80 - $110/hr

Bachelor's degree in data science, computer science, information systems, computer engineering or an equivalent combination of education and experience. * Five or more (5+ years) of Analyst or ...

Projects-Electrical Reliability Engineer

Gramercy, LA · On-site

$100K - $126K/yr

Utilize field data collection and analysis to identify failure trends and reliability opportunities ... Bachelor's degree in Electrical Engineering or related field. * 5+years of experience in heavy ...

... developers and product development teams to create responsive and compelling user scenarios and corner cases. · · Develop test data, execute test scripts and analyze results for validity and ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Holden, LA salary details

$26.7K

$64.8K

$106.7K

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

As of Sep 2, 2026, the average yearly pay for afternoon data analyst r programming in Holden, LA is $64,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $76,100.00 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 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 cities near Holden, LA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Holden, LA with the most Afternoon Data Analyst R Programming job openings:

GIS Analyst - FEMA

Wood Plc

Baton Rouge, LA • Remote

Full-time

Re-posted 20 days ago


Job description

Overview / Responsibilities

Wood Environment & Infrastructure Solutions is currently seeking GIS Analysts to perform flood risk analysis, mapping, and related services on Federal Emergency Management Agency (FEMA) projects throughout the Mid-Atlantic, Midwest, and Northeast U.S. regions.  

This role has the potential to work remotely from any location in the US.

Key Responsibilities:

  • Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a local and regional water resources team (primarily flood risk analysis and mapping)
  • Compile, manipulate, and refine geographic data from a variety of sources including hydraulic models, field collection, satellite/aerial imagery, public domain data, and existing maps
  • Produce detailed, high-quality cartographic products (digital and hardcopy) and accompanying reports in accordance with technical guidelines and client needs
  • Communicate with project team members and other stakeholders to define data needs, project requirements, and desired outputs
  • Compile, manipulate, and refine geographic data from a variety of sources including public domain, field collection, satellite imagery, aerial photographs, and existing maps
  • Perform regular quality control checks of spatial and non-spatial datasets to ensure data integrity
  • Collaborate with team members on project tasks related to GIS, database design and management, and data visualization
  • Customize GIS workflow and software programs for data collection, engineering, and environmental applications

#LI-Remote

Skills / Qualifications

Required:

  • 2 - 5 years of GIS project experience
  • BA/BS in GIS, Geography or related field
  • Understanding of cartography and cartographic principles
  • Proficiency using ESRI ArcGIS software (Pro, Desktop, and/or Online)
  • Proficiency using Microsoft Office
  • Experience in producing high-quality digital and hardcopy maps and project graphics
  • Strong written and verbal communication skills
  • Ability to understand and carefully follow both written and oral guidance/instructions
  • Resourceful and self-motivated

Preferred:

  • Experience with FEMA's Risk MAP and National Flood Insurance Program (strongly preferred)
  • Experience with hazard mitigation
  • Customization of GIS software using Python
  • Basic proficiency in other scripting/programming languages a plus
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER