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Afternoon Data Analyst R Programming Jobs in Las Vegas, NV

ENNOVARA

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Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

... programming skills, with the ability to apply these tools for data processing, analysis, and ... automation. o Familiarity with SQL or demonstrated ability to quickly develop SQL proficiency will ...

ENNOVARA

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Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

... programming skills, with the ability to apply these tools for data processing, analysis, and ... automation. o Familiarity with SQL or demonstrated ability to quickly develop SQL proficiency will ...

Varsity Tutors

Data Science Tutor

Las Vegas, NV · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

North Las Vegas, NV · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Henderson, NV · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

D.R. Horton

Land Acquisition Analyst

Henderson, NV · On-site

R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly traded ... Identify land leads through contacting brokers and engineers, reviewing development websites ...

Software Technology Inc

Data Engineer

Las Vegas, NV · On-site

$110K - $132.10K/yr

Data Engineer The Data Engineer will create and manage data pipelines which turn data into ... Familiarity with BI and analytics * Experience with programming languages like SQL, Python, Spark ...

New

Pwc

Data Strategy-Manager

Las Vegas, NV

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Pwc

Data Governance- Manager

Las Vegas, NV

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

SynergisticIT

Data Engineer (Junior)

Las Vegas, NV · On-site

... programming * Spring boot, AWS, Microservices, Docker, Jenkins, and REST API's experience * Excellent written and verbal communication skills Required Skills for Data Science/Data Analyst/Machine ...

Pwc

Data Strategy-Senior Manager

Las Vegas, NV

$124K - $280K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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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:
Afternoon Data Analyst R Programming jobs near you

Data Analyst

ENNOVARA

Las Vegas, NV • On-site

$25 - $35/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

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Job description

Position Title: Data Analyst

The data analyst will be responsible for importing, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from the data in order to drive operational processes and decision-making business intelligence and data reports.

Responsibilities:

o   Perform data processing tasks and prepare data analytics reports meeting defined specifications.

o   Present data in graphs and tables as well as designing and developing relational databases for data collection and data processing.

o   Respond to requests for data retrieval, visualization, and investigation with minimal turn-around time.

o   Develop processes for standardizing raw data coming from different sources in a variety of formats, and support team members in cleaning and improving data quality.

o   Work with business analysts and data modeling staff to document data presentation requirements in collaboration with management staff.

Successful Candidate’s Attributes:

o   Bachelor’s degree in Computer Science, Information Technology, Statistics or related field.

o   Must have strong analytical skills and an understanding of relational databases, data elements, and application software solutions to maximize data gathering and data analysis.

o   Strong foundational knowledge of probability theory, sampling distributions, and statistical modeling.

o   Extensive knowledge of Python and Microsoft Excel VBA programming skills, with the ability to apply these tools for data processing, analysis, and automation.

o   Familiarity with SQL or demonstrated ability to quickly develop SQL proficiency will be an important part of the data analyst role.

o   Solid organization skills, including the ability to make sound prioritization decisions and the ability to manage multiple tasks and assignments.

o   Strong verbal and written communication skills, with the ability to clearly present information and collaborate with team members and stakeholders.

o   Able to work independently with minimal supervision while collaborating effectively in a team environment.

o   Demonstrates a strong interest in data and analytics and a commitment to learning new tools and data analysis methodologies.

o   Experience with machine learning techniques (e.g., classification, clustering, tree-based models) is a plus.

Company Description

Ennovara, headquartered in Las Vegas, Nevada, is a growing project management and engineering consulting company serving the electric utilities industry.