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Entry Level Data Labeling Analyst Jobs in Memphis, TN

Actions: • Lead master data readiness for NPIP, NRIP and formula/labeling changes: create end-to ... available analytics tools. • Facilitate routine master data health reviews with Planning ...

Actions: • Lead master data readiness for NPIP, NRIP and formula/labeling changes: create end-to ... available analytics tools. • Facilitate routine master data health reviews with Planning ...

Perform impact assessment for changes affecting supply, cost, labeling, regulatory/QM, and customer ... root cause analysis. Outcome: Master data that enables stable production scheduling and OTIF ...

Perform impact assessment for changes affecting supply, cost, labeling, regulatory/QM, and customer ... root cause analysis. Outcome: Master data that enables stable production scheduling and OTIF ...

Perform impact assessment for changes affecting supply, cost, labeling, regulatory/QM, and customer ... root cause analysis. Outcome: Master data that enables stable production scheduling and OTIF ...

Actions: • Lead master data readiness for NPIP, NRIP and formula/labeling changes: create end-to ... available analytics tools. • Facilitate routine master data health reviews with Planning ...

ACCOUNTING ENTRY LEVEL

Bartlett, TN · On-site

$16 - $20.50/hr

As an Accounting Entry Level, you will be responsible for utilizing advanced Microsoft Excel skills to analyze and process financial data, as well as utilizing various accounting applications and ...

Vendor AP Analyst

Collierville, TN · On-site

$20 - $26.50/hr

This role is ideal for recent graduate and entry level professionals who are seeking to further ... Ensure accuracy and compliance in vendor master data, payment terms, tax classifications, and ...

Job Summary The Inventory Control Analyst I is an entry-level professional role responsible for supporting inventory accuracy, visibility, and control through data analysis, reporting, and process ...

Job Summary The Inventory Control Analyst I is an entry-level professional role responsible for supporting inventory accuracy, visibility, and control through data analysis, reporting, and process ...

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Entry Level Data Labeling Analyst information

See Memphis, TN salary details

$12

$31

$60

How much do entry level data labeling analyst jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for entry level data labeling analyst in Memphis, TN is $31.99, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $35.72 per hour, depending on experience, location, and employer.

What is an entry level data labeling analyst?

Entry Level Data Labeling Analysts are professionals who tag, categorize, or annotate data such as images, text, audio, or video to help train machine learning models. Their work is crucial in ensuring that artificial intelligence systems receive accurate and well-organized information for learning and prediction tasks. Typically, these analysts use specialized software tools to label data based on guidelines provided by data scientists or project leads. This role often requires attention to detail, consistency, and the ability to follow instructions closely. Entry level positions typically do not require advanced technical skills, making it a common starting point for those interested in AI and data science fields.

What does an entry level data labeling analyst do?

As an Entry Level Data Labeling Analyst, your daily tasks will often include reviewing and categorizing images, text, audio, or video datasets according to specific guidelines. You will use specialized software tools to tag or annotate data, ensuring accuracy and consistency to help train machine learning models. Your attention to detail directly impacts the quality of AI systems, making your work essential for the success of data-driven projects. Collaboration with team leads and engineers is common, as they may provide feedback or clarify labeling requirements.

What are the key skills and qualifications needed to thrive as an entry level data labeling analyst?

To thrive as an Entry Level Data Labeling Analyst, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with data labeling platforms, spreadsheets, and annotation tools such as Labelbox or Supervisely is often required. Diligence, consistency, and the ability to follow instructions precisely are standout soft skills in this role. These competencies ensure the accurate and efficient preparation of high-quality labeled data, which is crucial for training reliable machine learning models.

What are the most commonly searched types of Data Labeling Analyst jobs in Memphis, TN?

The most popular types of Data Labeling Analyst jobs in Memphis, TN are:

What job categories do people searching Entry Level Data Labeling Analyst jobs in Memphis, TN look for?

The top searched job categories for Entry Level Data Labeling Analyst jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Entry Level Data Labeling Analyst jobs?

Cities near Memphis, TN with the most Entry Level Data Labeling Analyst job openings:

Master Data Specialist

Buckman

Memphis, TN • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job 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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