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Afternoon Data Analyst R Programming Jobs in Louisiana

Pwc

Data Engineer - Senior Manager

New Orleans, LA

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Execute data transformation and cleansing processes to prepare data for analysis, reporting, and ... Proficiency in programming languages like Python, C#, or Java for data manipulation and automation ...

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Execute data transformation and cleansing processes to prepare data for analysis, reporting, and ... Proficiency in programming languages like Python, C#, or Java for data manipulation and automation ...

Haynes International

Tooling Engineer

Arcadia, LA · On-site

R: High School Diploma. P: Bachelor's degree in Engineering from an accredited institution or ... Tooling data analysis. Machine component design, reverse engineering, project engineering.

Pwc

AI & GenAI Data Scientist - Manager

New Orleans, LA

$99K - $232K/yr

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

Ochsner Health

Mgr-Data Analytics

New Orleans, LA · On-site

Supports data & analytics internal and external education initiatives. * Coordinates internal resources and vendors to provide accurate and precise execution of projects. * Ensures projects are ...

JM TEST SYSTEMS LLC

Senior Strategy Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

... Data Engineering to ensure clean, reliable data, and use AI/LLMtooling to build self-service tools ... R,Python, or BI platform experience a plus • Experiencewith CRM platforms (HubSpot, Salesforce ...

Entarian

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Programming & Data: Strong Python background with modern data processing libraries (Polars, Pandas ... Experience applying AI to accelerate data processing and analytics workflows. * Geospatial Tooling:

3MK Software Solutions

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Leads analysis, model and design the application data structure, storage, integration, deployment ... data engineer. A minimum of 2 years of experience using Scripting (Python, Perl, Shell, etc) is ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Louisiana

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 Louisiana?

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

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

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

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

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

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

Cities in Louisiana 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 Louisiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Customer Digital Twin Product Analyst

Copado

New Orleans, LA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

About Copado
Copado is the #1 DevOps Platform for Salesforce and the Cloud. We deliver an AI-enabled devops platform to enhance human's ability to orchestrate business application development in the agentic age to drive digital transformation for 1,500+ of the most innovative brands on the planet - from Coca-Cola to T-Mobile to Volkswagen. Our agentic platform unites non-technical admins and pro-code developers on the same system and empowers enterprises to scale end-to-end software delivery across multi-cloud environments. We operate in a dynamic and competitive industry and our consistent growth reflects our continued commitment to innovation and customer success.
Role Overview
As the Customer Digital Twin Product Analyst at Copado, you will report directly to the VP CX Transformation. In this junior-to-mid-level role, you will act as the operational custodian and data steward for two strategic pillars of our Customer Intelligence + Digital Twins and Customer AI Governance + Quality.
You will work in close partnership with the Agentic Operations team (including Customer Experience Data Engineers, Support Operations, and CS Operations) to construct, maintain, and scale our network of digital twins and AI agents. By auditing our automated workflows, checking AI outputs against strict quality guardrails, and ensuring seamless data integration, your work will directly underpin Copado's key commercial targets.
Key Responsibilities
Manage Digital Twin Schemas:
  • Take day-to-day operational ownership of the data structures and schemas for the Customer Experience Twins. Ensure these twins serve as a highly accurate, unified, and permanent intelligence record of our customers' environments and configurations.

Run Weekly AI Quality Reviews:
  • Lead the ground-level execution of the Weekly AI Quality Review alongside Support, CS, Services, and CX leadership. Audit and sample automated triage decisions, flag incorrect severity classifications, log routing mistakes, and identify hallucinated technical recommendations.

Enforce AI Guardrails & Privacy Boundaries:
  • Rigorously monitor customer-facing AI agent outputs against established AI Guardrails. Ensure no AI agent exposes credentials, secrets, or logs across different accounts, and verify that human-approval pathways are strictly followed for high-risk customer communications.

Support the Agentic Operations Pipeline:
  • Assist in configuring, refining, and testing the behavior of specialized AI agents in the customer experience journey, including the Support Intake Agent, Entitlement Agent, SLA Router, Triage Agent, Diagnostic Agent, and Case Twin. Partner with the Support and CS Operations Lead to optimize these models over time.

Track AI and Twin KPIs:
  • Continuously compile and report on core AI performance metrics, such as triage and routing accuracy, the human override rate, AI-assisted case resolution speed, and customer satisfaction on automated cases.

Qualifications & Experience
Requirements
  • 2+ years of experience as a Product Analyst, Data Analyst, Systems Analyst, or Operations Specialist within an enterprise SaaS or cloud-based software environment.
  • Proven experience with data mapping, schema management, or system telemetry tracking, with a clear understanding of how system configurations translate into structured data records.
  • Exceptional analytical and auditing skills, with a meticulous attention to detail and a track record of monitoring data integrity, software outputs, or system-generated metrics.
  • Strong process discipline and operational rigor, with experience tracking weekly metrics, maintaining structured documentation, and managing project milestones.
  • Solid collaborative and communication skills, with a proven ability to coordinate tasks cross-functionally across technical teams (including data engineers, support managers, and product operations).
  • Familiarity with Customer Success software (e.g. ChurnZero, Gainsight) and how customer health scores, usage signals, and automated plays are structured.

Preferred Qualifications
  • Direct experience with AI governance, prompt auditing, or LLM output evaluation (detecting hallucination risks, reviewing classification accuracy, and checking compliance against privacy boundaries).
  • Familiarity with the Salesforce ecosystem, including knowledge of core standard/custom objects, environment mapping, or metadata structures.
  • Understanding of modern DevOps workflows, Git command basics, and software release pipelines.
  • Experience working with ticketing databases (such as Jira or Salesforce Service Cloud) and API-driven data integration pipelines.
  • A strong curiosity and enthusiasm for generative AI capabilities, automated workflow systems (such as Agentia Studio), and digital twin technology.

Benefits
Copado offers a comprehensive benefits package, which includes:
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) Plan
  • Paid Time Off
  • Wellness Perks

Copado is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Copado does not accept unsolicited headhunter and agency resumes. Copado will not pay any third-party agency or company that does not have a signed agreement with Copado.

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