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Afternoon Data Analyst R Programming Jobs in Missouri

ResolveSoft Inc

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

SupportFinity™

Data Analyst

California, MO · On-site

$80 - $100/hr

The Data Analyst works with the Chief Strategy Officer, two strategy directors, and a data ... Proficiency in data science programming languages (Python and/or R) * Proficiency in SQL ...

BB Insight

Data Analyst

Saint Louis, MO · On-site

Senior Data Analyst Wealth Management PracticeData Engineering & Analytics DOMAIN Wealth Management TECHNICAL CORE Advanced SQL / STTM CLOUD ENV MS Azure (Preferred) EXPERIENCE 5+ Years Senior Level ...

Blackbuck Insights

Data Analyst

Saint Louis, MO · On-site

$100 - $125/hr

We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end ... We are seeking a highly analytical Senior Data Analyst to lead data discovery, quality profiling ...

New

The Timberline Group

Data Analyst

Saint Louis, MO · On-site

$80 - $100/hr

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 ...

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

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 ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

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

Lorven Technologies, Inc.

Data Analyst

Saint Louis, MO · On-site

Good understanding of Data Engineering concepts (ETL/ELT, data pipelines, data modeling, data warehousing). * Working knowledge of AWS services, particularly S3 * Strong analytical and problem ...

New

Socket.dev

Data Analyst

Creve Coeur, MO · On-site

$100 - $125/hr

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

Stratolaunch

Data Analyst

California, MO · On-site

$100 - $125/hr

Stratolaunch is a technology accelerator that engineers operationally realistic testing at Mach 5+. ... Stratolaunch is seeking a level I or II Data Analyst to support air-launched hypersonic vehicles.

University of Rochester

$77K - $116K/yr

Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux ... Strong understanding of statistical analysis and predictive modeling * Ability to work ...

Schuber Mitchell Homes LLC

Data Analyst

Joplin, MO · On-site

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 ...

The Timberline Group

Data Analyst Engineer

Saint Louis, MO · On-site

$100 - $125/hr

Analyze and evaluate highly complex business and market data; interpret data for the purpose of ... Experience/ keen interest in exploring latest technologies and programming languages. * Have strong ...

BBI

Senior Data Analyst

Saint Louis, MO · On-site

$83K - $105K/yr

Developer Collaboration & Bridge: Conduct detailed walkthroughs of mapping documents with ... Analyze domain-specific data entities, including household relationships, investment portfolios ...

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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 Missouri?

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

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

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

Afternoon Data Analyst R Programming jobs near you

Data Analyst

ResolveSoft Inc

Kansas City, MO • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Key responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support grants management, monitoring, and oversight activities.

  • Conduct quantitative and qualitative analyses, identify trends and anomalies, and prepare analytical reports and data summaries.

  • Support recurring and ad hoc reporting, respond to data requests, and collaborate with team members to ensure analyses meet operational needs.

Job description

Position: Data Analyst

Location: Onsite, Kansas City, MO
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.


Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.


Required Qualifications


  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.


Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.



Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.