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Afternoon Data Analyst R Programming Jobs in Reno, NV

Hamilton Company

Data Analyst

Reno, NV · On-site

Proficiency in data analysis tools and software (SQL, Python, R, Power BI) * Ability to present complex data findings in a clear and concise manner to stakeholders. * High level of accuracy and ...

Hamilton Company

Data Analyst

Reno, NV · On-site

Proficiency in data analysis tools and software (SQL, Python, R, Power BI) * Ability to present complex data findings in a clear and concise manner to stakeholders. * High level of accuracy and ...

Hamilton Company

Data Analyst

Reno, NV

Proficiency in data analysis tools and software (SQL, Python, R, Power BI) * Ability to present complex data findings in a clear and concise manner to stakeholders. * High level of accuracy and ...

Hamilton Company

Data Analyst

Reno, NV · On-site

Proficiency in data analysis tools and software (SQL, Python, R, Power BI) * Ability to present complex data findings in a clear and concise manner to stakeholders. * High level of accuracy and ...

Elemental LED, Inc.

Accounting Data Analyst

Reno, NV · On-site

S. based engineering and technology company that creates, develops, manufactures, markets and sells ... As an Accounting Data Analyst, you'll turn complex sales and financial data-like commissions ...

Elemental Brands

Accounting Data Analyst

Reno, NV · On-site

Every day, our engineers, innovators, creators, and problem-solvers work together to develop and ... As an Accounting Data Analyst, you'll turn complex sales and financial data-like commissions ...

Elemental Brands

Accounting Data Analyst

Reno, NV

Every day, our engineers, innovators, creators, and problem-solvers work together to develop and ... As an Accounting Data Analyst, you'll turn complex sales and financial data--like commissions ...

Varsity Tutors

Data Science Tutor

Reno, NV · Remote

$18 - $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 ...

Amperesand

Process Engineer

Reno, NV · On-site

Role Summary We are seeking a skilled and hands-on Process Engineer to join our Production ... Analysis (MSA) and gauge R&R studies * Experience developing or improving HMIs or factory data ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Reno, NV

Afternoon Data Analyst R Programming information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

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

As of Jul 9, 2026, the average yearly pay for afternoon data analyst r programming in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 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 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, 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 the most commonly searched types of Data Analyst R Programming jobs in Reno, NV? The most popular types of Data Analyst R Programming jobs in Reno, NV are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Reno, NV? For Afternoon Data Analyst R Programming jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Reno, NV look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Reno, NV are:
Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

Hamilton Company

Reno, NV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Company Overview

Hamilton Company is a worldwide leader in the design and manufacture of manual, semi-automated and robotic products for precision fluid measuring. We specialize in the development, manufacturing and customization of precision measurement devices, automated liquid handling stations, and sample management systems. For more than 60 years, Hamilton has been satisfying customer needs by combining quality materials with skilled workmanship, ensuring the highest level of performance of every precision fluid measuring device we manufacture.

Responsibilities

The Analyst is responsible for conducting data analysis to support business operations and decision making. This role involves gathering data, performing statistical analysis, and presenting findings to stakeholders. 

Job duties and responsibilities: 

  • Collect, analyze, and interpret data to support business operations. 

  • Develop and maintain reports and dashboards to track KPIs. 

  • Assist in the development of analytical models to solve business problems. 

  • Communicate data findings to stakeholders in a clear and concise manner. 

  • Collaborate with team members to identify and address business needs. 

  • Stay updated with the latest industry trends and best practices in data analytics. 

  • Document SOPs for internal and external teams.

This role is located in Reno, NV and requires working onsite.

Qualifications

  • Proficiency in data analysis tools and software (SQL, Python, R, Power BI)
  • Ability to present complex data findings in a clear and concise manner to stakeholders. 
  • High level of accuracy and attention to detail. 
  • Ability to work effectively on a team. 
  • Strong interpersonal skills to prioritize and meet deadlines.
  • Willingness to learn and adapt to new tools, technologies, and methodologies. 
  • Ability to stay updated with industry trends and best practices in data analytics.

Education/Experience

  • Bachelor's degree in data science, Economics, or a related field.

  • 1+ years of experience in data analysis or a related field.

  • Ability to explore and validate measures and tables against source data. 

  • Excellent written and verbal communication skills.    

  • Experience with CRM analytics and data (HubSpot). 
  • Proven ability to establish and maintain trusting relationships with high level stakeholders 

About Hamilton

  • Established, stable, and reliable company.
  • Comprehensive benefits package: medical, dental, vision insurance; paid vacation and sick time; disability insurance; 401(k); tuition reimbursement; and more.
  • Engaging and innovative design projects.
  • Strong opportunities for professional growth.
  • Commitment to sustainable design practices.
  • Personal Protective Equipment (PPE) may be required (provided by employer).
  • Drug and background screenings required.

Equal Employment Opportunity - It is the policy of this organization to provide equal employment opportunities to all qualified applicants without regard to race, creed, color, national origin, sex, age 40 and over, disability, marital status, sexual orientation, gender identity, genetic information, citizenship status, religious preference, or veteran status in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.

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