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Afternoon Data Analyst R Programming Jobs in Las Vegas, NV

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 ...

Data Engineer

Las Vegas, NV · On-site

$110K - $132.10K/yr

Build new systems to provide real-time streaming analytics and event processing pipeline based on ... At least 4-5 years of experience in Scala/Java or Python programming * AWS data products (Data ...

Senior Data Engineer

Las Vegas, NV · On-site

$121.12K - $151.40K/yr

Lead in analysis of data and the design the data architecture to support BI, AI/ML and data ... Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud ...

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

Lead in analysis of data and the design the data architecture to support BI, AI/ML and data ... Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud ...

Senior Data Engineer

Las Vegas, NV

$121.12K - $151.40K/yr

Lead in analysis of data and the design the data architecture to support BI, AI/ML and data ... Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud ...

Senior Data Engineer

Las Vegas, NV · On-site

$121.12K - $151.40K/yr

Lead in analysis of data and the design the data architecture to support BI, AI/ML and data ... Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud ...

Senior Data Engineer

Las Vegas, NV · On-site

$121.12K - $151.40K/yr

Lead in analysis of data and the design the data architecture to support BI, AI/ML and data ... Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud ...

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 ...

Sr. Data Engineer

Las Vegas, NV · Hybrid

$130K - $180K/yr

Collaborate with Analytics, Product, and Engineering teams to deliver reliable, timely data * Monitor and troubleshoot data workflows, ensuring high availability and performance * Support cloud ...

... Engineering * Experience with forecasting and budgeting ... Experience working with loan data * Experience with PowerBI, SAS, Python, or R will also be valued ...

We offer an excellent compensation package Title:- Data Warehouse Programmer Duration :- 5 Months ... This role works directly with other IT application groups and end-users to analyze, troubleshoot ...

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Afternoon Data Analyst R Programming information

See Las Vegas, NV salary details

$32.5K

$78.9K

$129.9K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Las Vegas, NV is $78,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Las Vegas, NV? The most popular types of Data Analyst R Programming jobs in Las Vegas, NV are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Las Vegas, NV? For Afternoon Data Analyst R Programming jobs in Las Vegas, NV, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Las Vegas, NV look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Las Vegas, NV are:
What cities near Las Vegas, NV are hiring for Afternoon Data Analyst R Programming jobs? Cities near Las Vegas, NV with the most Afternoon Data Analyst R Programming job openings:
Cloud Data & Analytics Strategy Senior Associate (Insurance)

Cloud Data & Analytics Strategy Senior Associate (Insurance)

Pwc

Las Vegas, NV • On-site

$64.25 - $86/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Insurance

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities, coaching them to deliver results.
  • Demonstrate critical thinking and the ability to bring order to unstructured problems.
  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.
  • Review your work and that of others for quality, accuracy and relevance.
  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.
  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
  • Use straightforward communication, in a structured way, when influencing and connecting with others.
  • Able to read situations and modify behavior to build quality relationships.
  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor Degree
Minimum Years of Experience:
4 year(s)
Preferred Qualifications:
Certification(s) Preferred:

Certification in one of the following cloud platforms -AWS/Azure/GCP

Preferred Knowledge/Skills:

Demonstrates thorough abilities and/or success in one or many of the following areas:

  • Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making;
  • Defining data management and data/analytics governance strategy and align data initiatives with organizational goals;
  • Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success;
  • Delivering strategy and transformation projects;
  • Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;
  • Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);
  • Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);
  • Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse;
  • Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;
  • Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
  • Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
  • Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse;
  • Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements;
  • Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/Docker, etc.);
  • Understanding of insurance data, underlying KPIs and how they are used; and,
  • Demonstrating prior P&C/L&A Insurance industry experience.

Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas:

  • Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;
  • Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;
  • Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand;
  • Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
  • Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
  • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
  • Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance.

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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