Supply Chain

Supply Chain Data Jobs

6 jobs found

16d ago

Supply Chain Data Analyst

Deloitte Arlington, VA

Arlington, VA

16d ago

Full time Analyst Analytics Business Intelligence

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Job Description

Deloitte is seeking an on-site Supply Chain Data Analyst in Arlington, VA to translate stakeholder needs into analytics requirements, query Advana and Databricks using SQL and Python, and develop dashboards that deliver actionable supply chain insights.

Responsibilities

Collaborate with functional stakeholders to understand business questions, analytical needs, and decision-making priorities, translating findings into clear narratives, insights, and recommendations for non-technical audiences.
Convert stakeholder requirements into well-defined analytical problem statements, metrics, and data needs.
Work with dashboard owners across the department to capture data requirements and contribute to a uniform supply chain risk database.
Navigate and query relational databases, with a focus on analytics environments within Advana and Databricks.
Apply SQL and Python (including pandas and SQLAlchemy) to extract, transform, validate, and analyze data across multiple datasets.
Design and maintain interactive dashboards using Qlik Sense or QlikView (or comparable BI tools), defining KPIs, dashboard layouts, and data refresh schedules aligned to mission priorities.

Requirements

Bachelor's degree
Active Secret security clearance required
Ability to work on-site in Alexandria, VA up to 5 days/week (typical week 2-3 days on-site)
2+ years of experience in business analysis, data analytics, or a related analytical role
2+ years of experience programming with Python and SQL
legally authorized to work in the United States without the need for employer sponsorship now or in the future

Technologies

Advana
Databricks
SQL
Python
pandas
SQLAlchemy
Qlik Sense
QlikView
Jira
Azure DevOps
Rally
Git
CI/CD concepts

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1mo ago

Data Analyst - Supply Chain

Home Depot / THD Atlanta, GA

Atlanta, GA

1mo ago Closed

Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Data Analyst - Supply Chain role at Home Depot/THD, onsite in Atlanta, GA, focused on translating complex analytics into actionable insights to support supply chain decisions under supervision.

Responsibilities

30% Executes existing reporting and analytical responsibilities to support ongoing supply chain operations.
20% Builds new dashboards and reports using data analytics tools and handles ad hoc requests as needed.
20% Maintains high quality output with meticulous attention to detail.
20% Expands technical competencies and gains subject matter expertise within the core functional area.
10% Presents findings in clear, accessible formats and connects analytics to the bigger business context.

Requirements

Minimum 18 years of age.
Must be legally permitted to work in the United States.

Technologies

SQL
SQL Server
Teradata
Oracle

Travel Requirements

Overnight travel typically less than 10% of the time.

Physical Requirements

Primarily sedentary; frequent opportunities to move about. Rare occasions may require lifting light articles.

Working Conditions

Located in a comfortable indoor area; any unpleasant conditions would be infrequent and not objectionable.

Preferred Qualifications

Experience with SQL Server, Teradata, Oracle, or comparable database systems
1-3 years of work experience in data mining, statistical analysis, auditing, and/or forecasting
Direct experience analyzing the relevant subject matter such as Supply Chain, Merchandising, or Operations
Bachelor's degree in Computer Science, Mathematics, Engineering, Finance, or a related quantitative field

Competencies

Critical thinking to evaluate strengths and weaknesses of alternative solutions and anticipate implications for problem solving
Strong intellectual curiosity to uncover the underlying story within the data
Clear written and verbal communication skills with the ability to persuade, inform, and translate complex results into understandable narratives
Excellent interpersonal skills and a collaborative, team-oriented approach
Ability to quickly learn and adapt to new technologies, tools, and techniques

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1mo ago

Supply Chain Data Analyst - MDM

JLG Hagerstown, MD

Hagerstown, MD

1mo ago Closed

$73k - $118k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 24, 2026).

Job Description

Onsite in Hagerstown, MD, this Supply Chain Data Analyst - MDM role on the Supply Chain Digitalization team supports GPSC decisions by identifying, collecting, processing, and analyzing datasets, acting as data steward/SME, and collaborating with data engineers and scientists; salary ranges from USD 73,200 to 117,800 per year.

Responsibilities

Identify, acquire, explore, prepare, assess, and maintain datasets from internal sources to support analyses and ad hoc investigations for function-specific projects.
Lead master data management initiatives and related system deployments to preserve data integrity across high-impact GPSC data sources.
Under limited supervision, perform data analysis tasks, visualization work, data quality improvements, and troubleshoot data incidents including root-cause resolution.
Apply SQL and statistical techniques to acquire, enrich, and analyze data.
Manage incidents, changes, problems, tasks, and requests related to data operations.
Leverage knowledge of processes, people, products, data, and systems within at least one business unit.
Define business problems and identify opportunities.
Define relevant data dimensions and metrics.
Collaborate with Data Engineers to draft and test data views meeting project needs.
Partner with Data Scientists to gain a basic understanding of predictive and prescriptive analytics, and foundations of ML and AI.
Provide data to validate problems and opportunities.
Draft goals, roles, and sustainment plans for initiatives.
Collaborate with cross-functional teams on data needs for solutions, often within a single business function.
Apply technical writing and verbal communication to support change management and ongoing management of data solutions.
Engage in analytics Communities of Practice across functions, business units, and digital technology groups.
Assist citizen analysts in building views and in analyzing, interpreting, and communicating data insights.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or an equivalent qualification.
Three or more years of experience in data analysis, information technology, or related areas.
Experience with web-based applications including Power BI, Azure Databricks, and the Microsoft Office suite (PowerPoint, Word, etc.).
Ability to travel up to 20%.

Technologies

SQL
Power BI
Azure Databricks
Microsoft PowerPoint
MS Word
Microsoft Office

Standout Qualifications

Attention to detail, strong problem-solving, and sound decision-making abilities.
Analytical mindset with excellent written and verbal communication skills.

Working Conditions

The role combines office-based administrative duties with field or production environment activity.
Office tasks may require extended computer use, sitting, and attending meetings.
Field or floor work may involve walking across varied terrains or shop floors, standing, moderate lifting up to 50 pounds, climbing stairs, and exposure to varying temperatures or noise levels.
Ability to shift focus between detailed cognitive work and occasional physical tasks as needed.
Reasonable accommodations are available for qualified individuals with disabilities to support performance in both office and field responsibilities.

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1mo ago

Data Analyst, Supply Chain

Tesla Lathrop, CA

Lathrop, CA

1mo ago Closed

$63k - $113k/yr Full time Analyst Analytics Apache Airflow

This position is no longer accepting applications (closed Jun 15, 2026).

Job Description

Tesla is seeking a Data Analyst to support Material Planning with supply chain analytics, onsite in Lathrop, CA.

Responsibilities

Develop and maintain tools, dashboards, and platforms delivering end-to-end visibility into supply and demand planning across multiple tiers of the supply chain
Design and run supply simulations to identify gating points, forecast risk, and support proactive decision-making by planning and GSM teams
Create and manage automated data pipelines for daily workflow orchestration, data extraction, transformation, and reporting
Automate daily operational workflows to reduce manual steps and drive excellence across Material Planning, GSM, and Component GSM teams
Query and analyze large-scale datasets using SQL to uncover supply chain trends, exceptions, and actionable insights
Develop Python-based automation scripts and data processing pipelines for data extraction, transformation, reporting, and simulation modeling
Collaborate cross-functionally with Demand Planning, Material Planning, GSMs, Component GSM, Systems teams, and regional stakeholders to align analytics with operational priorities
Support leadership with dashboards, ad-hoc analyses, supply risk assessments, and quarterly operational summaries
Independently manage multiple analytical projects, platform builds, and data support requests, ensuring objectives and deadlines are met
Partner with IT and Systems teams to define system requirements and participate in the software development lifecycle from design to deployment and user acceptance testing

Requirements

Degree in a quantitative field (e.g., Engineering, Supply Chain, Computer Science, Business Analytics, Economics) or equivalent experience, with 2+ years in supply chain analytics, demand/supply planning, or related analytical roles
Strong proficiency in SQL for querying large datasets
Experience with Python for data analysis, automation, and pipeline development (examples include pandas and NumPy)
Ability to analyze complex data, run simulations, and present findings clearly and concisely
Experience building and maintaining automated data pipelines and workflow orchestration using Apache Airflow or similar tools
Collaborative, flexible working style with the ability to build trust across planning, GSM, and systems teams
Experience building frontend tools and platforms using React and JSS is highly preferred
Experience creating dashboards and visualizations using Tableau or similar tools is highly preferred
Familiarity with multi-tier planning, gating analysis, and supply/demand balancing is a strong plus

Technologies

SQL
Python (pandas, NumPy)
Apache Airflow
React
JSS
Tableau

Benefits

Medical plans with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental and vision plans with $0 paycheck contribution
HSA contributions when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life and AD&D insurance
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and vacation time, flexible time for salaried roles, accrued hours for hourly roles, and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

What to Expect

In this role you will be the analytics lead for the Material Planning team, serving as the primary expert for supply and demand planning analytics, multi-tier visibility, and operational reporting. You will build tools, platforms, and automated pipelines that provide real-time visibility into gating supply chains, enable supply simulations, and drive operational excellence across planning workflows.

Expected Compensation

Salary range of $62,640 to $113,400 per year, plus cash and stock awards and benefits. Pay offered may vary based on location, knowledge, skills, and experience. The total compensation package may include additional elements dependent on the position offered; details will be provided with an offer.

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1mo ago

Senior Data Analyst – Blue Team (Supply Chain Risk & Mitigation)

Exiger Huntsville, AL

Huntsville, AL

1mo ago Closed

Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

Exiger seeks a Senior Data Analyst to join the Blue Team in Huntsville, AL on a hybrid work arrangement. This role supports a Department of Defense aligned supply chain risk management program, concentrating on developing mitigation strategies, identifying alternate sourcing pathways, and delivering data driven recommendations for government decision-makers.

Responsibilities

Analyze and illuminate supply chain networks by blending proprietary datasets with government-provided information
Produce recurring decision-support deliverables for risk mitigation
Assess alternate sourcing options for at risk suppliers and components
Design mitigation plans with clear timelines, assigned owners, and criteria for closure
Run data quality validation workflows and identify anomalies
Develop data quality scorecards and propose remediation steps
Support the development of Courses of Action with cost and timeline analyses
Track mitigation actions and maintain program status logs
Prepare materials for executive briefings and control tower sessions
Collaborate with government stakeholders to validate data and sourcing decisions
Assist onboarding and enrichment of new data sources
Maintain standard operating procedures and support team onboarding

Requirements

Proven analytical mindset capable of translating data into actionable decisions
Proficiency in Excel, Python (pandas), SQL, or equivalent tools
Experience delivering reports or briefings for stakeholders
Knowledge of supply chain mitigation and sourcing strategies
Strong written communication and attention to detail
Ability to meet production deadlines in a collaborative team environment
3+ years in data analysis, supply chain, logistics, or intelligence
Experience with structured research and documentation
Background analyzing complex systems or datasets
Experience in government, defense, or regulated environments
Active TS/SCI clearance required

Technologies

Excel
Python (pandas)
SQL
Tableau
Power BI
Jira
Confluence

Benefits

A high-performance culture rooted in accountability, collaboration, and excellence
Discretionary time off with no maximum limits
Industry-leading health, vision, and dental benefits
Competitive compensation package
16 weeks of fully paid parental leave
Flexible, hybrid approach to working
Wellness stipends and employee health programming
Career development support and certification reimbursement

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2mo ago

Machine Learning Engineer, Global Supply Chain

Tesla Fremont, CA

Fremont, CA

2mo ago Closed

$140k - $210k/yr Full time Data Processing Deep Learning Forecasting

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

Tesla, Fremont, CA onsite, seeks a Machine Learning Engineer in Global Supply Chain to design, develop, and deploy forecasting, optimization, and recommendation ML models using data from diverse sources.

Responsibilities

Design, develop, and deploy ML models for supply chain forecasting, including demand prediction, inventory optimization, and risk assessment, leveraging supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas.
Collaborate with supply chain planners to integrate models into existing platforms, enabling real-time decision making for supplier selection, warehouse allocation, cost reduction, and mitigation of part availability risks.
Validate models and monitor performance to ensure sustained accuracy in production environments.
Own production models, maintaining robust alerting systems for rapid issue resolution and ongoing maintenance.
Work with diverse, heterogeneous datasets (supply, demand, seasonality) to build scalable, end-to-end solutions.
Translate ambiguous problems into concrete ML solutions and deliver complete modeling pipelines.
Adhere to agile development practices and maintain clean, modular, and maintainable code.

Requirements

Proven experience scaling and optimizing inference for large ML models, with emphasis on transformers or similar architectures.
Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference.
Proficiency in Python and C++, and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs.
Hands-on CUDA programming, low-level performance profiling, and compiler-level optimization using TensorRT, TVM, or XLA.

Technologies

PyTorch
Pandas
Python
C++
TensorFlow
JAX
CUDA
TensorRT
TVM
XLA
GPUs
TPUs
NPUs

Benefits

Medical plans with plan options that incur no payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with no employee contribution
Company paid HSA contributions when enrolled in a high-deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life and AD&D insurance
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and vacation time, flexible/salary and accrued hours policies, and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

What to Expect

Join the Supply Chain Engineering team to design, develop, and iterate data driven ML solutions for key internal workflows, leveraging data from multiple sources.
Develop, maintain, and deploy forecasting, optimization, and recommendation algorithms across production environments.
Collaborate with cross functional partners to translate business needs into scalable ML capabilities and reliable production systems.

Expected Compensation

USD 140,000 – 210,000 per year, plus cash and stock awards and benefits.
Offer details may vary based on location, job-related knowledge, skills, and experience. Total compensation may include additional elements; specifics provided with an offer of employment.

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Supply Chain Data Jobs

Supply Chain Data Analyst

Data Analyst - Supply Chain

Supply Chain Data Analyst - MDM

Data Analyst, Supply Chain

Senior Data Analyst – Blue Team (Supply Chain Risk & Mitigation)

Machine Learning Engineer, Global Supply Chain

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