Supply Chain Analytics

Supply Chain Analytics Data Jobs

4 jobs found

Today

Logistics Data Analyst

Universal Music Group Woodland Hills, CA

Woodland Hills, CA

Today

$46k - $75k/yr Full time Analyst Data Analysis Data Analytics

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Job Description

Universal Music Manufacturing & Logistics is seeking a logistics data analyst to support e-commerce and retail distribution and transportation through reporting and performance analytics.

Responsibilities

Prepare and publish daily, weekly, and monthly logistics and supply chain reports
Analyze transportation and distribution data to find cost and performance improvement opportunities
Build and maintain carrier rate tables and ensure accuracy across artist stores and internal tools
Create presentations to recommend new carriers and services, support RFPs, and propose carrier utilization strategies
Support the Transportation Team with:
- Carrier on-time performance reporting and research
- Freight spend reporting and research
- Lane rate analysis
- Shipment tracking during peak periods
Own analytics and reporting for warehouse and carrier performance and other initiatives supporting supply chain improvements

Requirements

3 years experience in an analytical role focused on data cleansing, analysis, problem resolution, and taking action to deliver results
Solid experience using online tools and/or Excel for data analysis to improve operational processes
3 years proven, positive track record as a Data Analyst, Logistics Analyst, or in a comparable role
Demonstrated proficiency with reporting and online tools to extract data for analysis
Minimum 1-2 years experience with reporting and online visibility tools
Proficient with transportation management systems (TMS) or an order management system
Understanding of order management, distribution, and transportation processes
Understanding and familiarity with supply chain concepts
Strong computer skills, including advanced Microsoft Excel; familiarity with Microsoft Access and SQL
High level of attention to detail
Resourceful: knows how or where to obtain information
Ability to analyze data and trends and make data-based conclusions
Team-oriented: shares ideas and methods to improve performance
Proven verbal and written communication skills
Strong organization and prioritization: plans and stays organized
Ability to manage timelines in a fast pace, high pressure environment with deadlines
Independent and autonomous: takes independent action and works autonomously
Takes initiative and seeks increased responsibilities

Technologies

Excel
Microsoft Excel
Microsoft Access
SQL
Transportation management systems (TMS)
Order management system

Education

Bachelor’s Degree in IT, Business, Supply Chain, or Logistics
Related experience or Certificates in lieu of degree will be considered (as provided in original requirements)

Preferred

Experience in consumer products, retail operations, or e-commerce
Logistics or transportation experience

Benefits

Comprehensive medical, dental, and vision coverage
100% coverage for out-patient in-network mental health services
Fertility coverage for eligible medical plan participants
Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and more (up to $720/year)
Student Loan Repayment Assistance and Tuition Reimbursement
401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution
Flexible Paid Time Off (PTO) for exempt employees
3-weeks PTO for non-exempt employees
2-weeks paid Winter Break
10 Company Holidays (including Juneteenth and Wellbeing Day)
Summer Fridays (between Memorial Day and Labor Day)
Generous paid parental leave for every type of parent

Location: Woodland Hills, CA (onsite)

Salary: USD 45,910 - 75,000 per year

Experience: Minimum 3 years

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1d ago

Lead Data Scientist

Solstice Advanced Materials Morris Plains, NJ

Morris Plains, NJ

1d ago

$169k - $212k/yr Full time Manager Agentic Ai Artificial Intelligence

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Job Description

Solstice Advanced Materials is seeking a Lead Data Scientist to drive transformative analytics and Generative AI and agentic solutions across Integrated Supply Chain (ISC), Finance, and related business domains. This hybrid role is based in Morris Plains, NJ, with end-to-end ownership of data science initiatives, from shaping ambiguous problem statements to delivering production-ready models and measurable outcomes.

What you’ll do

Lead the design and implementation of Gen AI approaches for tailored AI predictions in manufacturing and supply chain settings.
Drive the development of agentic architectures, including multi-agent patterns, to deliver innovative AI solutions.
Spot and prioritize high-impact analytics opportunities across demand planning, inventory management, financial forecasting, and document processing.
Apply deep data science expertise and thought leadership to Supply Chain and Finance, with focus on domain challenges and KPIs such as forecast accuracy, working capital, and cost variances.
Develop and deploy predictive models and optimization algorithms addressing critical ISC and other domain problems.
Build forecasting and applied AI solutions for supply and demand, cash flow forecasting, financial anomaly detection, and supply chain network optimization.
Ensure models are robust and scalable, producing measurable improvements such as increased forecast accuracy and reduced costs.
Own end-to-end data science projects: define concrete opportunities from vague problem statements, perform data extraction and exploration, and manage model training, validation, and deployment.
Work hands-on with large, complex datasets such as ERP data, supply chain data, and financial ledgers to generate actionable insights.
Maintain high data quality and model performance, applying MLOps best practices for versioning, monitoring, and continuous improvement in production.
Partner with Supply Chain analysts, Logistics managers, Finance controllers, and IT data teams to gather requirements and implement data-driven solutions.
Translate complex analytical findings into actionable business insights for non-technical stakeholders, such as identifying drivers of inventory write-offs or cost overruns.
Support compliance and governance standards, including checks built into models to meet regulatory requirements.
Work with functional teams to validate that AI-driven processes preserve integrity and auditability.
Stay current with developments in data science and AI, and introduce techniques as appropriate, including time-series forecasting methods, reinforcement learning for supply chain optimization, and NLP for financial document analysis.
Promote continuous improvement by refining and validating analytical methods against business outcomes.
Mentor junior data scientists and analysts, and advance best practices in coding, experimentation, and knowledge sharing.

Required qualifications

Advanced degree (Bachelor’s or above) in Data Science, Statistics, Computer Science, Operations Research, or a related field.
8+ years of experience in data science or advanced analytics roles, including deployment of solutions that drive measurable value, ideally in supply chain and/or finance contexts.
Expert-level programming in Python and SQL, with proficiency in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch, and experience with Databricks or Azure Cloud ML services.
Strong grasp of statistical modeling, machine learning algorithms, and data mining techniques for time-series forecasting and classification/regression.
Solid understanding of supply chain concepts (demand forecasting, S&OP, inventory optimization) and finance concepts (budgeting/planning, reporting, cost analysis).
Excellent problem-solving skills, ability to break ambiguous problems into actionable data questions, and strong communication skills to influence business leaders.

Technologies you’ll work with

Python, SQL, pandas, scikit-learn, TensorFlow, PyTorch
Databricks, Azure Cloud ML services
MLOps
ERP (including SAP/ERP), APIs, dashboards

Benefits

Employer-subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP
Educational Assistance
Parental Leave
Paid Time Off (vacation, personal business, sick time, and parental leave)
12 Paid Holidays

Compensation

The annual base salary range for this position is $169,316 - $211,645.

Role fit (what you bring)

Experience leading data science projects and/or teams, with strong collaboration across interdisciplinary stakeholders and comfort presenting to executive audiences.
Familiarity with enterprise data environments and tools (such as SAP/ERP, supply chain management systems, and financial databases), including integrating solutions into production workflows using APIs, dashboards, and business applications.
Passion for innovation through competitions, publications, or patents, and the ability to evaluate and introduce new tools and technologies when they add value.
A results-driven mindset with clear objectives tracked against outcomes (for example, reducing forecast error or accelerating financial close).
Commitment to continuous learning, including responsible use of Generative AI and agentic AI in business processes.

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3d ago

Student Data Analyst

Publix Super Markets, Inc. Lakeland, FL

Lakeland, FL

3d ago

$18 - $25/hr Internship Analyst Data Analysis Data Analytics

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Job Description

Publix Super Markets, Inc. runs a semiannual Student Data Analyst internship designed for college students who want practical experience in data analytics. The program is based at Publix’s corporate headquarters in Lakeland, FL, where interns work alongside the Supply Chain Data Analytics team on forecasting and related analytics work. Throughout the internship, the student gains exposure to both machine learning and business intelligence concepts through hands-on projects.

This is an onsite role within a team that applies analytics to support supply chain decisions. As part of the internship, you will contribute to analyses, help build modeling approaches, and support forecast improvement efforts in collaboration with data analytics professionals.

Role focus

Support supply chain forecasting and related analytics initiatives with the Supply Chain Data Analytics team
Contribute to analytics outputs intended for insights and recommendations to analytics team members and business area leadership

Responsibilities

Develop and assist with the development of new analyses, metrics, and reports that help generate actionable recommendations
Create and refine algorithms and analytical models that transform a process into a data model
Coordinate with Data Scientists to identify and access learning and training opportunities that strengthen data modeling, statistical analysis, and other analytical techniques
Partner with Data Analysts and Data Scientists to research and apply statistical modeling algorithms aimed at improving forecast accuracy

Program and logistics

Job type: internship
Schedule: semiannual program
Location: Lakeland, FL (onsite)
Compensation: USD 18 to 25 per hour

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3d ago

Sr. Data Scientist, Ops Research

MCKESSON Irving, TX

Irving, TX

3d ago

$136k - $227k/yr Full time Azure Ml Big Data Cloud Platform

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Job Description

Build stochastic process simulation and optimization products to improve supply chain operations within McKesson’s Enterprise Data Science team.

Responsibilities

Develop and apply digital twins and simulation/optimization frameworks to support decisions across supply chain areas including inventory, transportation, and labor planning.
Translate simulation and optimization outputs into actionable recommendations for business partners.
Architect, implement, and drive adoption of stochastic process simulation and optimization solutions; measure impact and make significant improvements to existing solutions.

Requirements

Demonstrated experience developing stochastic process simulations to inform business decisions in inventory, transportation, or other supply chain-related domains.
Strong foundation in probability and statistics, including random variables, probability distributions, hypothesis testing, regression, and modern machine learning methods.
Demonstrated experience in data wrangling using SQL.
Experience with statistical modeling in Python and/or R.
Ability to communicate results to technical leaders and non-technical executive audiences.
Degree or equivalent, typically requiring 7+ years of relevant experience.

Tools & Technologies

SQL, Python, R
Optimization solvers: CPLEX, Gurobi, Xpress, CBC, GLPK
Data and ML platforms: Databricks, Snowflake, Azure ML

Preferred Skills

Experience with commercial or open-source optimization solvers (e.g., CPLEX, Gurobi, Xpress, CBC, GLPK).
Familiarity with reinforcement learning or approximate dynamic programming techniques.
Experience developing dashboards, applications, or decision-support tools that expose model outputs to business users.
Exposure to financial modeling, cost optimization, or pricing analytics.
Experience working in modern data and ML platforms such as Databricks, Snowflake, and Azure ML.

Location & Compensation

Location: Irving, TX (onsite)
Base pay range: USD 136,300 - 227,100 per year

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Supply Chain Analytics Data Jobs

Logistics Data Analyst

Lead Data Scientist

Student Data Analyst

Sr. Data Scientist, Ops Research

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