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Afternoon Data Analyst R Programming Jobs in Reno, NV

Maximus

Cloud Analyst

Sparks, NV · On-site

Job-Specific Minimum Requirements: - Bachelor's degree in Information Systems, Business, Data Analytics, Engineering, or a related field (or equivalent experience). - 4+ years of experience in ...

Maximus

Cloud Analyst

Carson City, NV · On-site

Job-Specific Minimum Requirements: - Bachelor's degree in Information Systems, Business, Data Analytics, Engineering, or a related field (or equivalent experience). - 4+ years of experience in ...

Danaher

Digital Analyst Internships

Carson City, NV · On-site

$96K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Sparks, NV · On-site

$100K - $119K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Ormat

Reservoir Engineer

Reno, NV · On-site

Collect reservoir data, analyze well logs and well tests, and develop reservoir conceptual models ... Proficiency in Matlab and Python programming is preferred. * Must have strong verbal and written ...

Ormat

Reservoir Engineer

Reno, NV · On-site

Collect reservoir data, analyze well logs and well tests, and develop reservoir conceptual models ... Proficiency in Matlab and Python programming is preferred. * Must have strong verbal and written ...

FocusKPI

Marketing Operations Analyst

Sparks, NV · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Amazon

Data Center Chief Engineer

Sparks, NV

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV · On-site

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

Amazon

Data Center Chief Engineer

Sparks, NV

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the ... Perform root cause analysis of equipment failures and troubleshooting of facility within internal ...

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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 Engineer

MERCURY GROUP STAFFING AND PLACEMENT SERVICES

Reno, NV • On-site, Remote

$58.83 - $82.37/hr

Full-time

Posted 5 days ago

Job description

Job Title: Data Engineer
Location: Reno, NV (Remote or Hybrid)
Salary Range: $58.83-$82.37 per hour

Primary Responsibilities:

  • Experience with AWS infrastructure including AWS Connect and AWS Lambda.
  • Manage and optimize the movement and validation of data from an Epic EMR system to SQL databases in AWS or Azure and either from or to the Salesforce platform.
  • Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.
  • Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources to enable learning health, machine learning model development, and deployment.
  • Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
  • Layer in instrumentation in the development process so that data pipelines can be monitored.
  • Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
  • Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines for AWS.
  • Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
  • Develop documentation, such as data dictionaries, guides, or data flow diagrams that assist staff in identifying, locating, and using the organizations data.

Incumbent Must Possess:

  • Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).
  • Experience with Visual Studio is preferred.
  • At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
  • Minimum of 3 years of RDBMS experience.
  • Extensive hands-on experience implementing data migration and data processing using Amazon Web Services. Includes knowledge of Amazon Connect and Amazon Lambda.
  • Knowledge of medical terminology, especially ICD-10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data.
  • Excellent verbal and written communication skills.

Minimum Qualifications:

  • Education: Masters degree with 10 years experience preferred; Bachelors degree with 13 years of equivalent experience will be considered in place of masters degree requirement.
  • Experience: Requires a minimum of 10 years experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred; Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required.
  • License(s): None
  • Certification(s): Certification work related to Epic or Amazon Cloud may be required within 1 year of starting employment.
  • Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

This role offers a unique opportunity to work on cutting-edge data engineering projects in the healthcare industry. If you meet the qualifications and are excited about the potential of this role, we encourage you to apply.

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