Supply Chain Analytics

Supply Chain Analytics Data Jobs

7 jobs found

7d ago

Master Data Analyst

Infosys Battle Creek, MI

Battle Creek, MI

7d ago

Full time Manager Advanced Analytics Artificial Intelligence

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Job Description

Infosys Consulting is seeking a Senior Consultant for Master Data Analysis focused on manufacturing clients and enterprise master data governance.

Responsibilities

Lead engagements at manufacturing clients addressing industry challenges tied to updating and transforming manufacturing facilities with new technologies to increase throughput, improve quality, lower operational cost, and improve sustainability
Run interviews, workshops, and walkthroughs with subject matter experts and process owners to elicit and document requirements
Understand manufacturing and supply chain business processes including engineering, production, quality control, inspection, procurement, planning, distribution, warranty, and returns
Collect and analyze business requirements and processes; develop data maps and business cases to support transformation initiatives
Collaborate with cross-functional teams across the client organization and Infosys on manufacturing and supply chain transformation programs
Mentor junior consultants and provide leadership within the engagement team
Partner with other Infosys technology delivery streams to shape a value proposition for the client
Publish thought leadership on manufacturing industry trends and challenges and opportunities, including AI opportunities in manufacturing
Support business development activities, including presales and sales process support; assist the client plant team with plant operations and system transactions, plus coaching existing plant team members
Maintain and govern master data for Material Masters, Business Partners (Customers/Vendors), BOMs, Routings, Work Centers, Cost Centers, and other SAP S/4HANA master data objects to ensure completeness and accuracy
Enforce data quality and standards through data validation, duplicate checks, data profiling, and ongoing monitoring to support a single source of truth
Manage master data creation and change processes by reviewing requests, applying governance rules, coordinating approvals, and ensuring compliance with established workflows and controls
Support manufacturing and supply chain operations by ensuring BOMs, product hierarchies, MRP parameters, production versions, and material planning attributes are maintained correctly for planning and execution
Drive data governance and compliance with business data owners, stewards, and functional teams to set policies, ownership models, audit trails, and regulatory compliance requirements
Support data migration, integration, and continuous improvement by cleansing legacy data, validating conversion results, troubleshooting data issues, and improving master data processes and controls

Requirements

Bachelor’s degree or foreign equivalent required
Minimum 5 years of experience with manufacturing sector companies as a direct employee or consultant
Knowledge of manufacturing industry trends such as Industry 4.0, digitization, AI/ML, and cloud
Experience in process improvement through current-state analysis, root cause analysis, developing insights, identifying solutions, and designing future states
Strong oral and written communication skills, including presentation development and executive-level presentations
Demonstrated experience with requirements elicitation, analysis, and documentation
Proven ability to lead projects and build effective business relationships
Ability to facilitate discussions, de-construct problems, analyze challenges, and develop structured solutions
Highly motivated with strong analytical and problem-solving skills
Ability to travel extensively
Authorized to work in the United States without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role
Willingness to work in a cross-cultural team with flexibility to support multiple time zones as needed
Proven ability to deliver under tight deadlines and challenging constraints
Ability to commute to work locations in Marshall, MI, 4 days per week
Strong materials management background in a manufacturing environment plus SAP S/4HANA user experience
Accountable for ensuring business-critical master data is accurate, governed, and fit for use across planning, procurement, manufacturing, logistics, and finance processes

Technologies

SAP S/4HANA
AI/ML
Cloud
Industry 4.0

Location: Battle Creek, MI (onsite)

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10d ago

Data Analyst II, Supply Chain

The Toro Company Bloomington, MN

Bloomington, MN

10d ago

$80k - $95k/yr Full time Business Analytics Business Intelligence Data Analysis

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Job Description

Support the Integrated Supply Chain team by structuring, exploring, and analyzing data to drive business decisions.

Responsibilities

Structure, clean, and prepare datasets from multiple sources for analysis and reporting
Conduct data exploration and analysis to surface trends, patterns, and business insights
Create and maintain recurring reports, dashboards, and visualizations for stakeholders
Convert business questions into analytical approaches and communicate findings clearly
Validate data accuracy and consistency across reports and analytical outputs
Document data definitions, assumptions, and analytical methodologies
Partner with data engineering and analytics engineering teams to improve data availability and reliability
Support ad hoc analytical requests and deeper-dive analyses as needed

Requirements

Strong SQL skills for querying and analysis
Experience structuring and analyzing datasets for reporting and insights
Proficiency with BI and reporting tools such as Power BI and/or Tableau
Solid understanding of data visualization and reporting best practices
Ability to interpret and explain data to non-technical audiences
Analytical thinking, attention to detail, and problem-solving skills
Bachelor’s degree in Analytics, Data Science, Business, Economics, or a related field
2–4 years of experience in data analysis, business intelligence, or a related role (minimum: 2 years)
Experience working with cross-functional stakeholders in a business environment

Technologies

SQL
Power BI
Tableau

Benefits

Affordable and top tier medical/dental/vision plan
401k
Casual, corporate environment with “Dress for your day” culture
Onsite café serving breakfast and lunch
Onsite fitness facility (complimentary use)
Mental health and financial health resources
20 hours of paid time to volunteer in the community
Flexible summer hours: hybrid Bloomington HQ schedule, leave by noon on Friday
Hybrid work schedule (#LI-Hybrid)
Competitive salary range: USD 80,000 - 95,000 per year
Eligibility to participate in an incentive program based on individual and organizational performance
Access to pay early with the dailypay app

Scope & Impact

Works across one or more business domains or functional areas
Supports operational, tactical, and strategic decision-making
Uses judgment to select analytical methods and structure datasets
Influences business outcomes through insight generation and clear communication

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13d ago

Sr. Data Scientist - Network Modeling & Optimization

Best Buy Minneapolis, MN

Minneapolis, MN

13d ago

$106k - $190k/yr Full time Senior Data Analysis Data Analytics

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Job Description

Best Buy is hiring a senior data science contributor to lead network modeling and optimization work that supports supply chain planning and one-off decision needs. This hybrid role in Minneapolis, MN combines hands-on model development with scenario evaluation, validation, and clear stakeholder communication.

The Sr. Data Scientist focuses on updating, running, and improving existing supply chain network models, and also contributes to readiness for production while helping develop new modeling approaches when required.

What you’ll do

Develop and maintain analytical inputs and optimization models covering facilities, transportation lanes, demand, product flows, costs, capacities, service requirements, and business rules.
Assess strategic and tactical scenarios across facility location, network assignments, capacity, sourcing, inventory placement, transportation, and product flow.
Validate model behavior, diagnose infeasibilities and data-quality issues, and communicate assumptions, limitations, tradeoffs, and recommendations to business and technical stakeholders.
Turn ambiguous supply chain questions into structured analytical problems by defining objectives, decisions, constraints, assumptions, data requirements, and expected outputs.
Translate complex physical processes into simplified functions that preserve key real-world characteristics while remaining usable as model inputs.
Support end-to-end network modeling and optimization efforts from business-problem definition through model development, validation, interpretation, and recommendation.
Provide technical guidance and mentorship to Data Scientists and analysts, establishing reusable modeling practices, documentation standards, and quality controls.

Qualifications

Bachelor’s degree in a quantitative field (Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Economics, Engineering, Supply Chain Analytics, or related) or equivalent experience.
4+ years of relevant experience in data science, operations research, optimization, supply chain analytics, forecasting, simulation, or a related analytical field.
4+ years of leading complex analytical projects and translating ambiguous business questions into structured modeling approaches.
4+ years hands-on experience with data analytics tools (e.g., SQL, Python, R) and machine learning and/or optimization tools (Python, R, Gurobi, Vertex AI).
Strong knowledge of optimization, operations research, statistical modeling, forecasting, simulation, machine learning, or another advanced analytical discipline.
Ability to explain technical concepts, model results, and business recommendations clearly to both technical and non-technical audiences.

Tools and technologies

SQL, Python, R, Gurobi, Vertex AI, AIMMS

Preferred qualifications

Advanced degree in a quantitative field (Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Supply Chain Analytics, or related).
Experience with supply chain network design, transportation, distribution, fulfillment, inventory, logistics, or capacity planning.
Experience developing optimization models using linear programming, mixed-integer programming, network flow, facility location, or assignment modeling.
Experience defining model inputs, decision variables, constraints, objective functions, scenarios, and outputs, including diagnosing model infeasibilities.
Familiarity with AIMMS or comparable optimization platforms, libraries, or solvers (direct AIMMS experience is preferred but not required).
Experience providing technical leadership, mentoring Data Scientists or analysts, and communicating recommendations to business leaders.

Compensation and logistics

Location: Minneapolis, MN (hybrid)
Salary: USD 106,200 - 190,300 per year
Position type: Full time
Application deadline: Minimum of 5 days from the posting date

Benefits

Competitive pay
Great employee discount
Financial savings and retirement resources
Support for physical and mental well-being
Paid time off (vacation or PTO) for full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service
Leaves of absence (LOA) and potential pay sources based on eligibility (length depends on situation, where you live, full-time/part-time status, and federal and state regulations)
Intermittent or reduced-schedule leave for certain medical or family care leaves
Certain roles may be eligible for incentive pay to drive performance and offer recognition

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29d ago

Logistics Data Analyst

Universal Music Group Woodland Hills, CA

Woodland Hills, CA

29d ago

$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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30d ago

Lead Data Scientist

Solstice Advanced Materials Morris Plains, NJ

Morris Plains, NJ

30d ago Closed

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

This position is no longer accepting applications (closed Sep 8, 2026).

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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1mo ago

Student Data Analyst

Publix Super Markets, Inc. Lakeland, FL

Lakeland, FL

1mo ago Closed

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

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

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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1mo ago

Sr. Data Scientist, Ops Research

MCKESSON Irving, TX

Irving, TX

1mo ago Closed

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

This position is no longer accepting applications (closed Sep 6, 2026).

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

Master Data Analyst

Data Analyst II, Supply Chain

Sr. Data Scientist - Network Modeling & Optimization

Logistics Data Analyst

Lead Data Scientist

Student Data Analyst

Sr. Data Scientist, Ops Research

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