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Afternoon Data Analyst R Programming Jobs in Springfield, MO

Digital Analyst Internships

Springfield, MO · On-site

$89K - $106K/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 ...

... disparate data sources. Mentor internal development team and promote self-service analytics to ... DESIRED Skill Sets: 2+ years of experience working with R, SSIS and SSAS Additional Information ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

The Principal AI Engineer is the senior technical contributor within Analytics responsible for designing, developing, and implementing enterprise AI capabilities on the data platform with a focus on ...

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Afternoon Data Analyst R Programming information

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$30.9K

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$123.7K

How much do afternoon data analyst r programming jobs pay per year?

As of Jun 18, 2026, the average yearly pay for afternoon data analyst r programming in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 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 Springfield, MO? The most popular types of Data Analyst R Programming jobs in Springfield, MO are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Springfield, MO? For Afternoon Data Analyst R Programming jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Springfield, MO look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Afternoon Data Analyst R Programming jobs? Cities near Springfield, MO with the most Afternoon Data Analyst R Programming job openings:

Business Data Analyst (Fixed-Term Contract)

CREATIVE MODULAR CONSTRUCTION LLC

Springfield, MO • On-site

Full-time, Contractor

Posted 15 days ago


Job description

Job Title: Business Data Analyst (Fixed-Term Contract)
Location: Springfield, MO
Pay: Competitive compensation based on experience
Job Type:
• Full-Time Fixed-Term Contract
• Six-Month Contract Position
Join Our Team at Creative Modular Construction (CMC)
CMC is seeking a Business Data Analyst for a six-month fixed-term contract to turn enterprise data into trusted, decision-ready information across our Epicor ERP and ADP HRIS platforms. This role designs and maintains reports, dashboards, and datasets that Finance, Operations, Project Management, and Human Resources rely on, while ensuring that the metrics behind them are consistent, accurate, and well-documented.
Reporting to the ERP Business Analyst and working alongside a peer Business Data Analyst focused on field service data, this role provides additional analytical capacity across core ERP and HRIS reporting domains during a period of peak demand. The Business Data Analyst will partner closely with stakeholders across the organization to answer the questions that drive business decisions.
What You'll Do
• Design, build, and maintain reports, dashboards, and self-service datasets across Epicor ERP and ADP HRIS
• Develop and document metric and KPI definitions to ensure a single, agreed meaning for each measure
• Build reusable query layers, including Epicor BAQs and equivalent ADP extracts, that business users can safely leverage
• Partner with the ERP Business Analyst to translate business questions into analytical specifications and validate reporting requirements
• Establish and execute data quality checks and reconciliation routines for ERP and HRIS reporting deliverables
• Lead analyses across finance, operations, project, and workforce data, including trend analysis, variance investigation, and cross-platform reconciliation
• Present analytical findings and recommendations to business stakeholders
• Support period-end and audit cycles through reliable, traceable data extracts and reconciliations
• Coordinate with the FSM-focused Business Data Analyst to ensure consistent definitions and shared data assets across teams
• Identify opportunities to automate recurring reporting and reduce manual data handling
• Maintain reporting documentation, metric definitions, and report inventories
• Provide reporting coverage for the FSM domain when needed
• Contribute to data governance initiatives and continuous improvement efforts
• Perform other duties as assigned
What We're Looking For
• Bachelor's degree in Information Systems, Statistics, Finance, Business, Computer Science, or a related field; equivalent experience considered
• Three or more years of data analysis or business intelligence experience, including reporting against an ERP or HRIS platform
• Strong SQL skills and solid dimensional/data-modeling experience
• Proficiency with Power BI or similar business intelligence and visualization tools
• Experience with Epicor BAQs, dashboards, or comparable ERP reporting tools
• Advanced spreadsheet skills
• Strong analytical thinking and attention to detail
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Ability to collaborate effectively with stakeholders across multiple departments
Preferred Qualifications
• Master's degree in Analytics, Data Science, or a related field
• Direct experience with Epicor ERP (Kinetic) and/or ADP reporting
• Experience in construction, manufacturing, or modular construction environments
• ETL or data-pipeline experience
• Familiarity with data governance frameworks such as DAMA-DMBOK
• Experience using Python, R, or similar analytical scripting tools
• Microsoft Power BI Data Analyst (PL-300), Certified Analytics Professional (CAP), or equivalent certification
What We Offer
• Competitive compensation based on experience
• Opportunity to work with enterprise-level ERP and HRIS platforms
• Exposure to finance, operations, project management, and workforce analytics
• Opportunity to contribute to high-impact reporting and decision-making initiatives
• Collaborative, data-driven work environment
• Valuable experience supporting ERP and HRIS reporting, analytics, and process improvement efforts
• Potential consideration for future opportunities based on business needs and performance
Culture & Growth
• Opportunity to help shape reporting standards, KPI definitions, and data governance practices
• Collaborative environment focused on continuous improvement and innovation
• Team-oriented, respectful workplace culture
• Faith-based company values and leadership
• Weekly paid Bible study during work hours
• Supportive environment focused on personal, professional, and spiritual growth
Our C.H.R.I.S.T. Values
• Creative - Finding clearer, simpler ways to represent complex data so the business can act on it
• Honorable - Acting with integrity, transparency, and ethical conduct in all reporting and analysis
• Respectful - Treating every stakeholder with dignity and communicating findings in language they can understand
• Innovative - Continuously improving models, reporting processes, definitions, and automation
• Synergistic - Building shared data assets and collaborating across departments to maximize organizational value
• Total Ownership - Taking accountability for data quality from source reconciliation through final reporting
CREATIVE MODULAR CONSTRUCTION LLC is an EEO Employer - M/F/Disability/Protected Veteran Status