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Afternoon Data Analyst R Programming Jobs in Arizona

Experience with SAS and R * Strong Tableau experience * Advanced Excel skills * Experience working with databases, queries, and data-management systems * Experience analyzing large/complex datasets ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Utilizes programming and analytical tools, including open source programs including Python, R and ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance ... You will collaborate with engineers, product managers, data stewards, and business stakeholders to ...

Collaborate with Mi-Case Application Developers, Legacy System Subject Matter Experts (SMEs), and stakeholders to gather, document, and analyze data migration requirements. * Analyze and map data ...

This role will partner with data engineers, security teams, and stakeholders to deliver scalable data and reporting solutions. The analyst will work on cybersecurity data sets (e.g., threat ...

Our company provides application analysis, design, development and programming, software ... Data Analysis, * data warehousing, * SSRS, * Business Objects, * T-SQL, * Testing and Healthcare ...

Azure Data Platform experience Required Skills * 4+ years of experience in Data Analysis, Data Engineering, or Data Migration * Strong SQL skills with Azure SQL Database, Azure SQL Managed Instance ...

The Data Analyst role is critical in converting complex business, customer, and technical data into ... Bachelor's Degree in Computer Science, Business Management, Engineering, Information Systems ...

Partner with developers, subject matter experts, and project stakeholders to gather and define data ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

Partner with developers, subject matter experts, and project stakeholders to gather and define data ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

Proficiency in data analysis tools and software (e.g., SQL, Python, R) * Experience with data visualization tools (e.g., Tableau, Power BI) * Excellent communication and presentation skills * Ability ...

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL. * Ability to understand and analyze various data domains ...

Data Analyst

Phoenix, AZ · On-site

$5.7K - $6.5K/mo

Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL. * Ability to understand and analyze various data domains ...

Create and maintain detailed data mapping documentation for database engineering teams. * Develop bi-directional data mapping between source and target systems. * Perform data transformation analysis ...

Data Analyst

Tucson, AZ · On-site

$78K - $98K/yr

Data Analyst Job Summary: In this role you will assist members, staff, and third parties with ... SQL * API * Azure DevOps and Git * Op-Con Automation * Agile software development * Financial ...

Data Science Analyst

Phoenix, AZ · On-site

$95 - $135/hr

The Data Science Analyst is responsible for using data science, machine learning, statistical ... Proficiency in Python, R, SQL, or similar analytical programming languages. * Familiarity with ...

(USA) Senior, Data Analyst

Glendale, AZ · On-site

$80K - $155K/yr

R-2469358 (USA) Senior, Data Analyst Location: Buckeye, AZ Role Summary Join Walmart as a Senior ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

(USA) Senior, Data Analyst

El Mirage, AZ · On-site

$80K - $155K/yr

R-2469358 (USA) Senior, Data Analyst Location: Buckeye, AZ Role Summary Join Walmart as a Senior ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

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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 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 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 most commonly searched types of Data Analyst R Programming jobs in Arizona?

The most popular types of Data Analyst R Programming jobs in Arizona are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Arizona?

For Afternoon Data Analyst R Programming jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Arizona look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Arizona are:

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Posted 11 days ago


Job description

Position Overview

The role focuses on data analysis, statistical analysis, data management, reporting, and database support. You will work with large and complex datasets, identify trends and data-quality issues, develop reports/visualizations, and provide analytical and technical support to business stakeholders.

Key Requirements

  • 3+ years of experience in data analysis, statistical analysis, data systems, or a related field
  • Strong hands-on experience with SQL
  • Experience with SAS and R
  • Strong Tableau experience
  • Advanced Excel skills
  • Experience working with databases, queries, and data-management systems
  • Experience analyzing large/complex datasets and identifying trends
  • Knowledge of data quality, validation, consistency, and completeness
  • Experience developing reports, dashboards, graphs, and statistical narratives
  • Strong analytical, problem-solving, and statistical skills
  • Ability to communicate complex technical information to non-technical audiences
  • Strong written and verbal communication skills
  • Ability to work with internal/external stakeholders and provide technical assistance
  • Experience gathering requirements and developing functional/technical specifications is a plus
  • Experience with FOCUS, OnBase, Visio, healthcare/public health, or government data systems is highly desirable

What the role involves

  • Performing quantitative and qualitative data analysis
  • Developing and maintaining data systems and queries
  • Identifying data inconsistencies, quality issues, and trends
  • Creating reports, dashboards, graphs, and longitudinal analyses
  • Supporting data-driven policy and business decisions
  • Providing technical support to database end users
  • Working with business partners and stakeholders to define analytical requirements