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Afternoon Data Analyst R Programming Jobs in Missouri

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ... Python, Spark, Scala, R, Power BI, or Tableau) Primary Location... 311 North Walton Blvd., ...

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ... Python, Spark, Scala, R, Power BI, or Tableau) Primary Location... 311 North Walton Blvd., ...

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ... Python, Spark, Scala, R, Power BI, or Tableau) Primary Location... 311 North Walton Blvd., ...

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 ...

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 ...

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 ...

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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:
Senior, Data Analyst - Advanced Analytics (SQL, Tableau, Business Fluency)

Senior, Data Analyst - Advanced Analytics (SQL, Tableau, Business Fluency)

Walmart

Noel, MO

$80K - $155K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,743 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...Hello there! Are you someone who thrives on solving complex problems and loves to dive deep into data? If so, we've got an exciting opportunity for you at Walmart, the world's largest retailer. We're on the hunt for a Senior Data Analyst who's ready to take on meaningful challenges and make a real impact.What you'll do...This role is a part of the Decision Sciences, Delivery Data & Analytics. We are a BI team that will support the ecommerce transportation’s daily operations. You will help our users navigate through billions of data so they can take the best decision in a timely manner. You will be working with operations and finance and provide them with the insights they need. You will learn a lot about the business and upgrade your tech skills in this role.
You’ll make an impact from the first day if you have:
  • Excellent SQL Skills. Capability to manipulate data from multiple tables while keeping the data integrity (4-6 years)
  • Creativity with a User Experience foundation to develop impactful Tableau Dashboards (2-3 years)
  • Business Operations Fluency. Capability to understand and root cause a business problem. A Supply Chain background, preferably with Last Mile Delivery or Parcel Deliveries experience.
  • Excellent communication skills and ability to work cross-functionally

Responsibilities:
  • Work with large, messy, disparate datasets and conduct ad-hoc analyses to quickly inform critical business decisions. Create ETLs or processes that pull data from multiple places and centralize it in one table.
  • Develop data visualization to monitor and quantify the impact of changes and unique business challenges.
  • Engage with team members and cross-functional teams on a periodic basis and establish credibility. Analyze stakeholder needs and partner with them to share relevant information. This includes partnering with Operations, Finance and Product teams on data accuracy, completeness and latency across multiple operations and systems 
  • Leverage scripting languages (Python preferred) to automate activities made for reporting (Screenshots, metrics prioritization and outlier recognition)
  • Document your processes and share your knowledge with your peers. Mentor your peers as you become a Subject Matter Expert.

Minimum Qualifications:
  • Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.
  • Advanced SQL and Tableau user

Preferred
  • Advanced experience with SQL and Tableau
  • Experience with ecommerce operations or parcel carrier operations
  • Experience with Python or other scripting language.
  • Experience with data manipulation tools such as Knime, Alteryx, R, Tableau Prep etc.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)Primary Location...802 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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