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Afternoon Data Analyst R Programming Jobs in Springfield, MO

Continuous Improvement Engineer

Springfield, MO · On-site

$66K - $88K/yr

Identify and prioritize improvement opportunities through data analysis, process observation, and ... Engineering Team CAPA Lead * Serve as the Engineering team's primary point of accountability for ...

Identify and prioritize improvement opportunities through data analysis, process observation, and ... Engineering Team CAPA Lead * Serve as the Engineering team's primary point of accountability for ...

... e.g., R-22 or ammonia refrigeration certifications) are preferred. • In-depth knowledge of ... system analysis. • Ability to understand and conduct training sessions on the operation and ...

... data and incident summaries. - Maintain and update incident and service request records in ... Leads, and engineering teams to resolve technical issues and remove operational blockers ...

As the senior AI technical contributor within Analytics,you'llpartner with Data Engineering and Analytics teams to set architectural patterns, best practices, and governance-aligned standards for LLM ...

Relevant certifications (e.g., R-22 or ammonia refrigeration certifications) is preferred In-depth ... Proficiency in using diagnostic tools and software for system analysis. Strong troubleshooting and ...

Relevant certifications (e.g., R-22 or ammonia refrigeration certifications) are preferred. * In ... Proficiency in using diagnostic tools and software for system analysis. * Ability to understand and ...

Sr Engineer, BI - Onsite

Springfield, MO · On-site

$46.50 - $60.25/hr

Collaborate with Data Engineering and Analytics teams to build and optimize robust ETL/ELT pipelines and data models (e.g., Snowflake, dbt). * Drive improvements in data quality, consistency, and ...

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Afternoon Data Analyst R Programming information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

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

As of Jul 9, 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 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:
Continuous Improvement Engineer

Continuous Improvement Engineer

Curia, Inc.

Springfield, MO • On-site

$66K - $88K/yr

Full-time

Retirement

Posted 16 days ago


Curia rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description


Continuous Improvement Engineer in Springfield, MO
Build your future at Curia, where our work has the power to save lives.
The Continuous Improvement Engineer is a key driver of engineering excellence and operational performance at our manufacturing site. This role leads high-impact process improvement initiatives, serves as the Engineering team's CAPA lead, and partners with cross-functional teams to identify, execute, and sustain meaningful improvements across the facility.
Curia is a global contract development and manufacturing organization (CDMO) with over 30 years of experience partnering with pharmaceutical and biotech companies to provide life-saving treatments to patients. At Curia, we are on a mission to advance our customers' therapies from curiosity to cure and ultimately to improve patients' lives.
We proudly offer
  • Generous benefit options (eligible first day of employment)
  • Paid training, vacation and holidays (vacation accrual begins on first day of employment)
  • Career advancement opportunities
  • Education reimbursement
  • 401K program with matching contributions
  • Learning platform
  • And more!

Responsibilities
Continuous Improvement & Engineering Excellence
  • Identify and prioritize improvement opportunities through data analysis, process observation, and cross-functional collaboration.
  • Lead or support Lean and Six Sigma initiatives (Kaizen events, value stream mapping, DMAIC projects) that reduce waste, improve yield, and increase process reliability.
  • Develop and maintain process documentation including SOPs, work instructions, and control plans to sustain improvement gains.
  • Apply statistical methods and process capability analysis (Cp, Cpk, SPC) to monitor and improve manufacturing performance.

Engineering Team CAPA Lead
  • Serve as the Engineering team's primary point of accountability for CAPA coordination, ensuring actions are assigned, tracked, and closed on time.
  • Facilitate root cause analysis for engineering-related events using structured tools such as 5-Why, Fishbone, and FMEA.
  • Partner with Quality Assurance to ensure CAPA documentation meets regulatory and site quality system requirements.
  • Report CAPA status and trends to Engineering leadership; flag systemic issues and support corrective strategies.

Quality Systems & Compliance
  • Support site compliance with cGMP/GDP requirements; participate in internal audits and regulatory inspections as assigned.
  • Author, review, and approve change control documentation in support of process and equipment changes.
  • Collaborate with Quality Assurance on deviation investigations, risk assessments, and product complaints as applicable.
  • Ensure all project and improvement activities are executed in alignment with site quality systems and applicable regulatory standards.

Collaboration & Communication
  • Serve as a resource and subject matter expert for teams navigating quality events and improvement initiatives.
  • Present findings, project status, and recommendations to Engineering, Operations, and Quality leadership.
  • Contribute to a culture of continuous improvement by coaching team members on CI tools and quality mindset.

Good Manufacturing & Documentation Practices
Quality is something we take pride in together. You'll perform your work in alignment with cGMP requirements and Curia's standards, which means:
  • Perform all documentation in compliance with ALCOA++ principles and site SOPs.
  • Adhere to applicable cGMP documents including SOPs, batch records, protocols, change controls, and controlled forms.
  • Keep all required cGMP training current and escalate quality concerns along with proposed solutions to the Quality department.

Qualifications
  • B.S. in Engineering (Chemical, Electrical, Industrial or Mechanical Engineering preferred).
  • 5 years of relevant engineering experience in a manufacturing environment.
  • Experience supporting or coordinating CAPAs, deviations, or non-conformances in a regulated manufacturing environment.
  • Proficiency with root cause analysis methodologies (5-Why, Fishbone, FTA, FMEA).
  • Strong analytical and detail-oriented skills with the ability to interpret data and translate findings into actionable improvements.
  • Effective written and verbal communication skills; ability to author clear technical documentation.
  • Strong project management skills with the ability to manage multiple priorities and hold peers accountable to deadlines.
  • Collaborative working style with the ability to influence without direct authority.
  • Commitment to quality, continuous improvement, and doing what is right; consistent with the Curia Way.

Other Qualifications
  • Must pass a background check
  • Must pass a drug screen
  • May be required to pass Occupational Health Screening

Preferred
  • Experience in pharmaceutical manufacturing is strongly preferred
  • Lean Six Sigma Green Belt or Black Belt certification strongly preferred.
  • Familiarity with eQMS and document control platforms.
  • Experience with statistical software (Minitab or equivalent) and SPC methodologies.
  • Knowledge of 21 CFR Part 210/211 or other applicable GMP regulatory frameworks.
  • ASQ Certified Quality Engineer (CQE) or equivalent certification a plus.

Education, experience, location and tenure may be considered along with internal equity when job offers are extended.
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at Curia, in any form without a valid, signed search agreement by an authorized signatory in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Curia. No fee will be paid in the event the candidate is hired by Curia because of the unsolicited referral.
All interested applicants must apply online. Please be aware of scammers. Curia will only send offer letters and requests for sensitive personal information from a curiaglobal.com email address. Curia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Curia is an E-Verify employer.
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