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Afternoon Data Analyst R Programming Jobs in Missouri

Use agile data methodologies for extraction and transformation of data using platforms like SQL, R ... Experience with product management, product ownership, or data engineering * Experience in Human ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

The Data Analyst provides strategic data reporting and analysis for a large utility client ... Willingness to learn programming languages such as Python or R is expected. * Demonstrated ability ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Strong proficiency in R programming with hands-on experience in production environments. * Experience working with biological, clinical, or life science data, including data processing, analysis, and ...

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

Data Analyst II

Cassville, MO · On-site

$70K - $130K/yr

Proficiency in data visualization tools such as Tableau, PowerBI, Python libraries, or R to create ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

Data Analyst II

Noel, MO · On-site

$70K - $130K/yr

Proficiency in data visualization tools such as Tableau, PowerBI, Python libraries, or R to create ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

Data Analyst Senior

Saint Louis, MO · On-site +1

$83K - $105K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Position Summary The Data Analyst collaborates with business users to create report specifications ... Curiosity to learn and explore new technologies or programming languages to enhance skills and ...

You'll report directly to our Director of Data Engineering and Advanced Analytics and play a hands-on role in shaping how a leading electrical contractor turns data into a competitive advantage. WHAT ...

You'll report directly to our Director of Data Engineering and Advanced Analytics and play a hands-on role in shaping how a leading electrical contractor turns data into a competitive advantage. WHAT ...

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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 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 Missouri? The most popular types of Data Analyst R Programming jobs in Missouri are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Missouri look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Missouri are:
What cities in Missouri are hiring for Afternoon Data Analyst R Programming jobs? Cities in Missouri with the most Afternoon Data Analyst R Programming job openings:
Data Analyst

Data Analyst

Equifax, Inc.

Saint Louis, MO • On-site

Full-time

Medical, Retirement, PTO

Posted 15 days ago


Equifax rating

7.6

Company rating: 7.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
The Data Analyst will play a pivotal role in driving data-driven conversations with our senior leadership. This individual will partner closely with sales, marketing, and product teams to uncover actionable insights and deliver impactful solutions. By leveraging advanced analytical techniques and storytelling skills, the analyst will help shape the future of our business.
What you'll do
  • Work directly with Data and Analytics professionals, IT, Sales, and customers to design, document, test, and support the construction of internal and customer facing Data Visual solutions that tell the desired insights story.
  • Follow existing strategies, standards and best practices in the areas of data visualization, data access and data integration within Equifax's new big data analytical platforms.
  • Create eye catching and informative presentation-ready visualizations and analyses for internal or external clients using Spotfire and/or other open source visualization technologies.
  • Build wireframes and mockups of dashboards and reports as needed to communicate visualization/functionality internally and to clients
  • Use agile data methodologies for extraction and transformation of data using platforms like SQL, R, Hive, Impala, and/or Python to derive data marts to drive dashboards and visualizations.
  • Contribute to continuous improvement activities.

What experience you need
  • BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred
  • 2+ years of experience in a related role
  • Experience working in multiple languages including, JavaScript, Python, and SQL
  • Experience using Tableau & BI tools is a plus

What could set you apart
  • Advanced degree in a quantitative field
  • Experience in a professional services consulting role
  • Experience with cloud-based data platforms (e.g., Google Cloud Platform, AWS)
  • Experience with product management, product ownership, or data engineering
  • Experience in Human Resources, Background Screening, Criminal Justice, and/or People Analytics
  • A passion for data and a desire to make a significant impact

#LI-Hybrid
#LI-SM1
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-St. Louis-Lackland
USA-GA-Alpharetta-JVW3
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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