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Afternoon Data Analyst R Programming Jobs in Cordova, TN

Product structure, BOM, routing, and engineering data dependencies * Finance master data, cost ... Integration with Teamcenter, SAP S/4HANA, analytics, and future plant rollouts Key Responsibilities ...

Experience with programming PLCs, IoT device administration, and scripting/coding for automation or data analysis * Proficiency with PFMEA, root cause analysis, statistical process control, and ...

Big Data Architect

Memphis, TN · On-site

$62 - $79.75/hr

... experience with Analytics use cases and R language Proven expertise of delivering end to end ... It provides strategic business consulting, technology, engineering and outsourcing services to help ...

Big Data Architect

Memphis, TN · On-site

$62 - $79.75/hr

... programming language like Scala, Java, Python, Pig etc Good ... experience with Analytics use cases and R language Proven expertise of delivering end to end ...

... Data Analyst with strong SAP experience to support enterprise master data governance across manufacturing, supply chain, engineering, and quality organizations. This role is responsible for creating ...

New

Experience with programming PLCs, IoT device administration, and scripting/coding for automation or data analysis * Proficiency with PFMEA, root cause analysis, statistical process control, and ...

Engineer, Data

Memphis, TN · On-site

$111K - $133K/yr

Proficiency with Azure Data Factory, Azure SQL Analytics, and SQL Server is required. * Experience with Microsoft Fabric is a plus. * The candidate should also be skilled in programming languages ...

Big Data Architect

Memphis, TN

$62 - $79.75/hr

Good experience with at least one programming language like Scala, Java, Python, Pig etc ... Good experience with Analytics use cases and R language * Proven expertise of delivering end to end ...

Collaborate with data engineering team to optimize data pipelines, ensure data quality, and improve ... Exposure to data science tools or methodologies (Python, R, machine learning concepts, data bricks ...

Experience with programming PLCs, IoT device administration, and scripting/coding for automation or data analysis * Proficiency with PFMEA, root cause analysis, statistical process control, and ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Cordova, TN salary details

$29.7K

$72.2K

$118.9K

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

As of Aug 14, 2026, the average yearly pay for afternoon data analyst r programming in Cordova, TN is $72,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $84,800.00 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?

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 job categories do people searching Afternoon Data Analyst R Programming jobs in Cordova, TN look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Cordova, TN are:

What cities near Cordova, TN are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Cordova, TN with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Cordova, TN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,223 per year, or $34.7 per hour.

Job description

Description

 

 

Master Data Specialist 

Buckman - Memphis, TN

 

Location: Memphis, TN

Language: English

Travel: up to 5%

Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman delivers exceptional service and innovative solutions to our customers globally in the pulp and paper, leather, and water treatment sectors to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment.  

Position Summary 

Own and steward Buckman North America supply chain and manufacturing master data so that planning, scheduling, procurement, manufacturing, quality, and customer fulfillment operate on a single, accurate version of the truth.  

Key Outcomes/Responsibilities

Outcome: Reliable, audit-ready material master supporting planning and execution across 1,876 SKUs. 

Actions:

Create and maintain material master records (FG, WIP, RM, PFR) with complete MRP, costing, storage, batch/QM, and logistics attributes; enforce naming, classification, and documentation standards.

Run routine data-quality checks (completeness, duplicates, blocked/inactive, lead-time sanity, UoM consistency); correct defects and prevent recurrence through standards and training.

Partner with planners/schedulers and plant SMEs to validate key planning parameters (lot size, safety stock, MRP type, procurement type, lead times, rounding values) and align to S&OP policies.

Outcome: Fast, controlled change management for master data with predictable cycle time. 

Actions: 

Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined SLAs by object type and criticality.

Perform impact assessment for changes affecting supply, cost, labeling, regulatory/QM, and customer service; coordinate approvals with accountable owners.

Maintain a change log and version control for critical objects (recipes/BOMs, routings, production versions, QM specs) to enable traceability and post-issue root cause analysis.

Outcome: Master data that enables stable production scheduling and OTIF customer service. 

Actions: 

Ensure routings, work centers, production versions, and batch sizes reflect plant reality to support realistic promise dates and efficient sequencing.

Maintain packaging and tolling attributes, alternative supply sources, and PFR relationships so supply planners can execute substitutions and allocations without data rework.

Monitor execution exceptions tied to master data (MRP messages, ATP failures, batch determination/QM blocks) and eliminate top recurring causes.

Outcome: Improved inventory health and working capital through accurate master data and governance. 

Actions: 

Maintain accurate shelf-life/expiration, batch management, storage conditions, and disposition rules to minimize write-offs and prevent shipment of nonconforming material.

Support SLOB and red-tag programs by ensuring correct lifecycle status, obsolescence flags, and substitution rules; coordinate timely blocking/inactivation of obsolete SKUs.

Validate planning parameters (safety stock, reorder points/ROP, rounding) and lead times using performance data to avoid chronic over/under stocking.

Outcome: High-quality new product and raw material introduction (NPIP / NRIP) and transitions with 'right-first-time' data. 

Actions:

Lead master data readiness for NPIP, NRIP and formula/labeling changes: create end-to-end objects (materials, BOM/recipes, routings, QM inspection plans/specs, packaging, GTIN/UoM) before first production.

Coordinate cross-functional sign-offs (R&D, Quality, Regulatory, Operations, Planning, Customer Service) for new or changed SKUs.

Provide cutover plans and data validation checklists for launches, transitions, and phase-outs to prevent order blocks and shipment errors.

Outcome: Standardized data governance, ownership, and controls aligned to supply chain excellence practices. 

Actions:

Define and maintain master data standards, RACI, and controls (field ownership, required documentation, approval matrix) consistent with APICS-aligned process governance.

Develop training, job aids, and templates; coach requestors and plant SMEs to improve first-pass quality and reduce rework.

Support audits and compliance reviews by providing evidence of approvals, change history, and control effectiveness.

Outcome: Actionable visibility of master data performance and continuous improvement. 

Actions: 

Create and maintain dashboards/scorecards (defect rate, SLA attainment, top defect types, aging requests) using available analytics tools.

Facilitate routine master data health reviews with Planning, Manufacturing, Quality, and Customer Service; drive corrective actions and systemic fixes.

Identify automation opportunities (templates, validations, workflows) to reduce manual effort and error rates. 

Basic Qualifications 

  • Education Requirements: Bachelor's Degree in Supply Chain, Business, Engineering, or related
  • Job Experience: 2 - 3 years
  • APICS/ASCM CPIM required or obtained within 12 months
  • ERP / APS systems (SAP required) 

Competencies 

  • Drives Results - Consistently achieving results, even under tough circumstances 
  • Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences 
  • Build Networks - Effectively building formal and informal relationship networks inside and outside the organization 
  • Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems 
  • Plans and Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals 

We appreciate the interest of recruitment partners, but we are not engaging external agencies for this role.

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