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Afternoon Data Analyst R Programming Jobs in Nevada

Data Engineer - Senior Associate

Las Vegas, NV ยท On-site

$77K - $202K/yr

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

Nevada Senior State Data Lead

Las Vegas, NV ยท On-site

$65K - $75K/yr

R or Python skills (or even javascript/d3): other coding skills, especially if used to analyze data or build visualizations (but programing/website work would still be a plus!) - strong shapefile ...

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

Data Engineer

Henderson, NV ยท On-site

$135K - $165K/yr

Design, build, and operate data pipelines and databases that support analytics and reporting. * Contribute directly to development while adhering to engineering standards and best practices.

Data Engineer

Henderson, NV ยท On-site +1

$135K - $165K/yr

Design, build, and operate data pipelines and databases that support analytics and reporting. * Contribute directly to development while adhering to engineering standards and best practices.

Project - Data Engineer II

Las Vegas, NV ยท On-site

$109K - $131K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

Data Engineer - Senior Manager

Las Vegas, NV ยท On-site

$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 ...

Showing results 21-40

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?

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 Nevada? The most popular types of Data Analyst R Programming jobs in Nevada are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Nevada look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Nevada are:
Infographic showing various Afternoon Data Analyst R Programming job openings in Nevada as of June 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Full-time

Posted 14 days ago


Job description

***Le poste รฉtant situรฉ aux ร‰tats-Unis, la description de poste est disponible uniquement en anglais.***
***As this position in based in the United States, the job description is available in English only.***
Business Analyst
Sales, Marketing and Communications
Full-Time Position
At Cirque du Soleil, data helps shape how we understand our audiences, optimize our business, and support better decisions across a global portfolio of shows. As a Business Analyst, you will help turn complex data into meaningful insights while contributing to the data foundations that power analytics across the organization.
Working alongside experienced analysts, engineers, and business leaders, you'll contribute across the full analytics lifecycle-from exploring business questions and developing analytical models to improving datasets and supporting scalable data solutions. This role offers broad opportunity for impact across analytics, data science, and modern data architecture.
What You'll Do
  • Partner with business stakeholders to translate questions into analytical and technical solutions.
  • Analyze large and complex datasets to identify trends, opportunities, and actionable insights.
  • Develop statistical and predictive models to support forecasting and business decision-making.
  • Design, build, and maintain datasets that support reporting, analytics, and modeling.
  • Create and optimize SQL transformations, tables, and data models that improve data accessibility and quality.
  • Collaborate with engineering teams to improve data architecture and analytical capabilities.
  • Develop dashboards and reporting solutions that enable self-service insights across the organization.
  • Explore new analytical techniques, AI capabilities, and technologies that improve efficiency and decision-making.
  • Contribute to improving documentation, data quality, and analytical best practices.
  • Complete all other job-related duties as assigned.
How You'll Operate
  • Work independently while collaborating closely with teammates across business and technical functions.
  • Balance analytical thinking with hands-on technical execution.
  • Build scalable solutions that can be reused across teams rather than one-off analyses.
  • Approach problems with curiosity, asking thoughtful questions and seeking to understand the business behind the data.
  • Embrace AI and modern analytics tools to accelerate analysis, automation, and insight generation.

What You'll Bring
  • 2 - 4 years of experience in business analytics, data science, analytics engineering, or a related field.
  • Strong SQL skills and experience working with relational databases.
  • Experience using Python or R for data analysis, statistical modeling, or automation.
  • Familiarity with building datasets, ETL processes, or analytical data pipelines.
  • Experience with BI platforms such as Power BI, Tableau, or Looker.
  • Strong analytical and problem-solving skills with the ability to work through ambiguous business questions.
  • Effective communication skills and the ability to explain technical concepts to a variety of audiences.
  • Fluent in English, both written and spoken;
  • Verification of the right to work in the United States for Cirque du Soleil Entertainment Group, as demonstrated by completion of the Form I-9 upon hire and the submission of acceptable documentation (as noted on the Form I-9) verifying one's identity and work authorization.
Bonus Points For
  • Experience in entertainment or sports.
  • Experience with cloud data platforms such as BiqQuery, Azure, or Snowflake.
  • Familiarity with dbt or modern data engineering practices.
  • Exposure to machine learning, predictive analytics, or optimization techniques.
  • Experience working with customer, marketing, or digital behavioral data.
  • Experience using AI-assisted tools for analytics, development, or automation.

As you can imagine, working with a circus can be quite different from other organizations, and at Cirque du Soleil Entertainment Group, we embrace these differences loudly with enthusiasm. We realize that one size fits none and invite you to come create your own specialized experience with us to see exactly what we're talking about, firsthand.
Our emotion-provoking shows are just the tip of the iceberg: laced throughout our organization, you will find creative minds who are empowered to use their voices and be themselves, their truest selves. Diversity to us means various perspectives, fresh ideas and continuous improvement of the way we do things. We won't pretend like we have every answer, that's why we need you! The employees here are the center of what we do, the voices behind the final product and amazing performances on stage.
When you think of your ideal workplace, what comes to mind? For us, it looks (and really is) like this:
  • Teamwork - we thrive with collaborative teams, regardless of titles or departments;
  • Respect - when we ask someone to join our team, it's because we trust and respect you;
  • Integrity - whether you work behind-the-scenes or in the office, you're being counted on. We are a team and integrity goes a long way here, and like we mentioned previously, trust is important;
  • Authenticity - we want you to bring your full self to work, this is a place where you don't need to fit into a box to belong; diverse perspectives foster even more creativity in the workplace. We embrace the human behind the employee number;
  • Being heard - you have access to everyone in the organization, use your voice on development questions or suggestions on how to improve the experience. We value open and transparent communication, and we want you to be heard!

Cirque du Soleil Entertainment Group is an equal opportunity employer. We do not discriminate against applicants or employees because of their race, creed, color, age, religion, sex, disability, sexual orientation, marital status, military status, national origin or ancestry.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.