Supply Chain

Supply Chain Data Jobs

13 jobs found

1d ago

Data Analyst – Supply Chain & Logistics

Alchemy Global Solutions Bloomington, IN

Bloomington, IN

1d ago

$55k+/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Alchemy Global Solutions is expanding its Bloomington, Indiana on-site team with a Data Analyst focused on supply chain and logistics. This entry-level role centers on preserving data integrity, optimizing processes, and partnering across departments to turn data into actionable decisions that drive daily operations.

Responsibilities

Create, maintain, and automate recurring reports and dashboards that underpin daily supply chain and logistics activities.
Analyze large datasets to uncover trends, variances, and opportunities for process improvement.
Ensure data accuracy and consistency across systems, reports, and workflows.
Support inventory management, transportation performance, warehouse operations, and demand planning through data-driven insights.
Collaborate with operations, procurement, finance, and IT to understand reporting needs and deliver effective solutions.
Monitor KPIs such as on-time delivery, order accuracy, inventory turns, transportation cost metrics, and warehouse productivity.
Assist in root-cause analysis for operational issues and help develop corrective action recommendations.
Document reporting processes, data definitions, and analytical methodologies.
Participate in continuous improvement initiatives aimed at efficiency, accuracy, and operational excellence.

Requirements

Bachelor’s degree in Data Analytics, Supply Chain Management, Business, Finance, Economics, Information Systems, or a related field.
Strong proficiency with Microsoft tools
Proficient with SQL, Power BI, Tableau, or similar analytics platforms
Ability to work with large datasets and maintain a high level of accuracy
Strong analytical thinking, problem-solving skills, and attention to detail
Effective communication skills, including the ability to translate data into clear insights for non-technical audiences
Ability to operate in a fast-paced environment where priorities shift quickly

Technologies

SQL
Power BI
Tableau
Microsoft Tools

Benefits

401(k)
401(k) matching
Dental insurance
Disability insurance
Health insurance
Life insurance
Paid parental leave
Paid time off
Vision insurance

What We Offer

Hands-on experience in a high-impact operational environment
Opportunities for professional development and advancement within supply chain analytics and operations
Collaborative team culture with mentorship from experienced analysts and operations leaders
Competitive compensation and benefits package

Work Environment

This role is based on-site at our Bloomington, IN facility, where you will closely collaborate with operations teams to understand real-time challenges and support data-driven decision-making.

Pay: From $55,000.00 per year
Work Location: In person

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3d ago

Supply Chain Data Engineer

NVIDIA Santa Clara, CA

Santa Clara, CA

3d ago

$152k - $288k/yr Full time Apache Airflow Automation Big Data

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Job Description

At NVIDIA, you will join a collaborative environment that emphasizes data-driven decisions and cross-functional partnership. This onsite role in Santa Clara offers the chance to own production-grade data pipelines, curate large datasets for forecasting and procurement, and influence unified planning decisions at the executive level. You will partner with modeling, procurement, operations, and IT teams, reporting to leadership. The compensation range for this role is USD 152,000 to 287,500 per year, with equity included as part of the benefits package.

Responsibilities

Design, implement, and scale automated data pipelines using SQL and Python to extract, transform, and load large supply chain datasets from both internal and external systems.
Data quality stewardship: develop automated validation scripts to detect anomalies, missing inputs, and historical inconsistencies before data enters planning frameworks.
Enhance pipelines that feed downstream machine learning and AI models, ensuring data is clean, low-latency, and prepared for advanced computation.
Infrastructure management: create and maintain optimized data tables, views, and schemas tailored for rapid querying by unified computational systems.
Systems deconstruction: collaborate to migrate legacy, decentralized planning workflows into automated, centralized data environments that link forecasting to procurement.
Cross-functional collaboration: work closely with engineering, global procurement, operations, and IT teams to uncover hidden data sources and standardize core supply chain metrics.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research, or equivalent experience.
Expert data engineering skills with mastery in SQL and Python, including data manipulation with Pandas.
7+ years of data pipeline experience, with a proven track record of building and running automated ETL/ELT pipelines in production.
Deep experience with relational databases, data warehouses (eg Snowflake, BigQuery), or large ERP systems (such as SAP or Oracle).
Extreme attention to detail and a strong focus on data integrity; thrives on resolving missing values and formatting issues in large datasets.
High autonomy and comfort working with flexible guidelines to craft robust, production-ready data pipelines from the ground up.

Technologies

SQL
Python
Pandas
Snowflake
BigQuery
SAP
Oracle
Apache Airflow
dbt
AWS
Azure
GCP
MATLAB

Benefits

Equity

Ways to stand out from the crowd

Experience building data infrastructure within semiconductor, electronics, or large-scale technology hardware supply chains.
Background with mathematical modeling environments, advanced computation engines, or algorithmic simulation software (eg MATLAB, advanced Python packages).
Familiarity with workflow orchestration tools (such as Apache Airflow or dbt) or infrastructure used to support Machine Learning pipelines (DataOps).
Experience cloud-architecting supply chain master data across AWS, Azure, or GCP.

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3d ago

Supply Chain Data Analyst

Buddha Jewelry Seattle, WA

Seattle, WA

3d ago

$75k - $87k/yr Full time Analyst Analytics Business Intelligence

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Job Description

Buddha Jewelry seeks a data-driven Supply Chain Data Analyst to transform sourcing, inventory, and logistics data into clear, actionable insights. This on-site role in Seattle focuses on maintaining SKU data quality, partnering with cross-functional teams on product lifecycle decisions, and leveraging AI-enhanced forecasting to align supply with demand. The position offers a salary range of USD 75,000 - 87,000 per year.

Responsibilities

Deliver analytics and AI-enhanced reporting across sourcing, inventory, and logistics to inform strategic decisions in the supply chain.
Collaborate with cross-functional teams to analyze product lifecycle data and support decisions with timely, accurate information.
Own the setup and upkeep of SKUs, tags, and item configurations to ensure clean, reliable data across systems.
Identify data-driven improvements to streamline supply chain workflows and boost overall system efficiency.
Manage AI-enabled demand forecasting models and outputs to optimize inventory levels and reduce stockouts or overstock scenarios.

Requirements

3+ years of experience in supply chain analytics, data analysis, or related fields.
Strong analytical abilities with the capacity to translate data into clear, actionable insights.
Experience with demand forecasting, inventory management, or logistics reporting.
Comfort working with AI-enhanced tools and a genuine curiosity about how technology can improve outcomes.
Highly detail-oriented with a focus on data integrity.
Tech-savvy with experience in NetSuite, Shopify, and Google Suite/MS tools.
Strong collaborator capable of partnering with Operations, Finance, and Product teams.
100% on-site presence in Seattle.

Technologies

NetSuite
Shopify
Google Suite
Microsoft Office
Looker
Tableau
Google Data Studio

Benefits

Health insurance
Vision insurance
Life insurance
Dental insurance
SIMPLE retirement savings plan
Commuter benefits
Employee discount
Paid holidays

Physical Demands

Ability to remain stationary 50% or more of the time.
Capability to move around the office to access equipment and resources.
Proficiency in operating a computer and common office devices such as scanners, copiers, and printers.
Frequent handling of non-electronic resources and small items.
Occasional lifting or moving of equipment up to 50 pounds.
Ability to observe, assess, and distinguish office resources, documents, and product-related materials.

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4d ago

Senior Data Analyst, Hardware & Supply Chain

Oura San Francisco, CA

San Francisco, CA

4d ago

$148k - $203k/yr Full time Senior Analyst Analytics

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Job Description

Senior Data Analyst for Hardware and Supply Chain analytics at Oura, focused on hardware manufacturing, supply chain metrics, and related analytics on a Databricks-based platform, collaborating with Operations, Supply Chain, Finance, and Data Engineering.

Responsibilities

Own the analytics layer for the hardware and supply chain scorecard and partner with Operations, Supply Chain, and Finance to define, document, and deliver KPIs used in board and S-1 reporting (hardware revenue, units sold, sell-through, COGS, landed cost, gross margin, on-hand and in-transit inventory, warranty rate, return/RMA rate, activation rate).
Establish each hardware and supply chain KPI as a governed data product with locked definitions, a single owner, dbt tests, full lineage from source systems, formal sign-off, and a documented change-management process.
Build and maintain the hardware data contract and the canonical hardware dimension that ties SKUs, components, ring generations, sizes, and finishes to downstream sales, inventory, and activation metrics.
Serve as the analytics representative in external audit cycles by producing documentation, guiding auditors through lineage, and ensuring controls and traceability are reflected in metric production.
Migrate hardware and supply chain reporting from legacy stacks to a Databricks-based platform with dbt-modeled metrics, Unity Catalog lineage, and Databricks SQL / Genie as the executive-facing surface.
Coordinate with ERP, manufacturing, logistics, and e-commerce source-system owners (NetSuite, contract-manufacturer feeds, 3PL/logistics data, Zuora) and Data Engineering to ensure clean ingestion, accurate dimensional modeling, and clear lineage from purchase orders to sell-through and activation.
Resolve data quality issues to ensure end-to-end trust in reporting.
Build and maintain the Hardware/SC domain data products in Databricks, mentoring analysts on dimensional modeling, dbt practices, and publishing governed metrics for reporting and for MCP/agentic AI consumption.
Partner with Supply Chain and Operations on demand and supply planning data, owning the Databricks-side data layer that feeds planning and ensuring reconciled numbers across regions.
Deliver inventory, fulfillment, and supplier analytics (days of supply, fill rate, on-time delivery, yield, scrap, cost-to-serve) to provide Operations leadership with a single trusted view.
Drive adoption of self-service reporting by Operations and business partners using Genie, Databricks SQL dashboards, and clear documentation to reduce one-off reporting.
Continuously evaluate tools (Unity Catalog, Databricks Genie, AI-assisted SQL/modeling with Cursor and Claude Code, semantic layers) to improve productivity and accuracy in hardware and supply chain reporting.

Requirements

7+ years in analytics, business intelligence, or a related data-focused role, with at least 3+ years supporting Hardware, Supply Chain, Operations, Manufacturing, or Logistics.
Proven experience building executive-level reporting for a physical-product business that earns trust from leadership and endures external scrutiny (Board, auditors, investors).
Deep knowledge of hardware and supply chain data domains: units sold and sell-through, COGS and landed cost, BOM and component costing, inventory (on-hand, in-transit, days of supply), warranty and RMA/returns, manufacturing yield, and how transactional systems (NetSuite/ERP, contract-manufacturer feeds, 3PL, e-commerce platforms) feed into reported metrics.
Hands-on experience with demand and supply planning data and a clear understanding of where planning systems meet the data lake.
Fluent in SQL with a track record of writing complex queries for operational and financial data extraction, reconciliation, and modeling.
Expertise in dimensional modeling for hardware and operations reporting (conformed dimensions across SKU, product generation, channel, geo, supplier; slowly changing dimensions for product and cost hierarchies; period-over-period comparisons).
Experience with dbt, including tests, documentation, exposures, and contracts.
Experience with Databricks strongly preferred (Unity Catalog, Databricks SQL, Lakeflow, Genie); deep Snowflake experience acceptable with willingness to migrate.
Experience with modern BI tools (Tableau, Looker, Databricks SQL Dashboards, Power BI) and an informed view on when each is appropriate.
History working with external auditors (PwC, Deloitte, EY, KPMG) and producing documentation that stands up to audit review.
Excellent verbal and written communication skills—able to briefing leaders on numbers and explaining data behind them to analysts.
Thrives in a fast-paced, collaborative global environment spanning factories, warehouses, and offices across time zones.

Technologies

dbt, Unity Catalog, Databricks, Databricks SQL, Genie
Snowflake, Tableau, Looker, Power BI
SQL, Lakeflow, Cursor, Claude Code
AWS, GitHub, NetSuite, Fivetran
Python, Zuora, Sheets

Benefits

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends and family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave

What Makes You Stand Out

Familiarity with adjacent tooling and sources: AWS, GitHub, NetSuite/ERP, Fivetran, Python, semantic layers, EDI/3PL logistics feeds, and contract-manufacturer data integrations.
Experience establishing a hardware data contract and a product/SKU dimension (dim_hardware) from scratch in a high-growth consumer hardware company.
Proven ability to build governed KPI programs through formal external audits, including COGS, inventory, and units-sold reconciliation.
Strong data visualization theory sense—knowing how to pick the right chart for the right message and why dashboards fail when misapplied.

Compensation

Salary ranges by region:

Region 1 $172,000 - $203,000
Region 2 $158,950 - $187,000
Region 3 $147,900 - $174,000
A recruiter will determine your zone based on your US location.

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5d ago

Sr. Product Manager, DC Supply Chain Execution, DC Product & Analytics

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

5d ago

$136k - $184k/yr Full time Data Analytics Product Analytics Product Management

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Job Description

Product leadership role focused on designing and scaling Amazon's Distribution Center networks to boost speed to market, improve availability, and drive down fulfillment costs.

Responsibilities

Scale Distribution Center networks to accelerate time to market, increase availability, and reduce fulfillment costs.
Identify needs in under-the-roof DC processes and tools; own the product vision, roadmap, and delivery of solutions that enable broader store-format selection while reducing inventory and improving in-stock across the DC network.
Support the launch, operation, and scaling of the DC network through technology and analytics capabilities.

Requirements

5+ years of experience in product or program management, product marketing, business development, or technology roles.
Bachelor's degree or equivalent.
Proven experience owning and driving roadmap strategy and definition.
Experience delivering products end to end.
Experience delivering features and making tradeoffs for a product.
Experience as a product manager or product owner.
Experience owning technology products.

Benefits

Comprehensive health coverage including medical, dental, vision, and prescription; Basic Life and AD&D insurance with option for supplemental life; Employee Assistance Program; mental health support; medical advice line; Flexible Spending Accounts; adoption and surrogacy reimbursement.
401(k) matching.
Paid time off.
Parental leave.
Sign-on payments.
Restricted stock units (RSUs).

Description

Are you excited about building the supply chain of the future? We are seeking a Product Manager who is a thought leader building our supply chain solutions to build and scale our Distribution Center networks to enhance speed to market, improve availability and drive down fulfillment costs. The Product Manager identifies needs in under-the-roof DC processes and tools, and owns the product vision, roadmap, and delivery of products that enable Amazon to spread selection across multiple store formats across the DC network.

Basic Qualifications

5+ years of product or program management, product marketing, business development, or technology experience.
Bachelor's degree or equivalent.
Experience owning/driving roadmap strategy and definition.
Experience with end-to-end product delivery.
Experience with feature delivery and tradeoffs of a product.
Experience as a product manager or owner.
Experience owning technology products.

Preferred Qualifications

Experience influencing senior leadership through data driven insights.
Experience working across functional teams and senior stakeholders.

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8d ago

Data Scientist III, Supply Chain Optimization Technologies (SCOT), Inbound Planning Science

Amazon.com Services LLC - A57 Bellevue, WA

Bellevue, WA

8d ago

$159k - $215k/yr Full time Analytics Business Intelligence Data Analysis

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Job Description

A Data Scientist III focused on SCOT inbound planning at Amazon in Bellevue, WA, builds models to optimize inventory placement and product flows across networks to improve customer experience while reducing costs and carbon footprint.

Responsibilities

Design and implement mathematical models to optimize inventory placement and product flows across networks.
Develop statistical and optimization models for supply chain planning under uncertainty.
Manage multiple high impact projects concurrently.
Collaborate with business and technical stakeholders across teams to identify opportunities to optimize the supply chain.
Present data-driven insights and recommendations to diverse senior stakeholders through technical or business briefs.
Utilize large language models to enhance explainability of optimization solutions and drive engagement from global supply chain planners.

Requirements

Experience with statistical modeling, including multinomial logistic regression.
Experience working as a Data Scientist.
Experience with data scripting languages (SQL, Python, R, etc.) or statistical/mathematical software (R, SAS, Matlab).

Technologies

SQL
Python
R
SAS
Matlab
Tableau
Quicksight
Large Language Models (LLMs)

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D and option for Supplemental life plans)
EAP and Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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12d ago

Supply Chain Data Analyst (Food Manufacturing)

ilocatum Chicago, IL 🇺🇸 Remote

Chicago, IL

12d ago

$70k - $90k/yr Full time Analyst Analytics Business Analytics

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Job Description

Remote-friendly, full-time direct-hire role in Chicago, IL, with onsite training in Gridley, IL, offering USD 70,000 - 90,000 per year.

Responsibilities

Design, maintain, and enhance dashboards, reports, and analytics for the supply chain.
Produce recurring reports for leadership, operations, procurement, finance, and executive reviews.
Detect data gaps, process inconsistencies, and reporting limitations that hinder visibility or decision quality.
Integrate data from procurement, production, inventory, warehousing, logistics, quality, sales, and finance to reveal efficiency opportunities.
Create tools that provide departments with a single, trusted data source.
Identify bottlenecks, process delays, inventory imbalances, and drivers of cost.
Assess inventory metrics such as on-hand quantities, days of supply, safety stock, reorder points, usage trends, and material availability.
Develop dashboards that highlight understocked, overstocked, or demand-misaligned materials.
Deliver data-driven purchasing recommendations to planning and procurement teams.
Monitor supplier performance including on-time delivery, adherence to lead times, price accuracy, and quality documentation.
Aid in the development and maintenance of supplier scorecards.
Analyze purchase price variance, cost trends, and sourcing opportunities.
Use data to identify inefficient workflows, manual processes, and recurring operational issues.
Contribute to standardizing metrics, definitions, data sources, and reporting cadence.
Collaborate on cross-functional projects focused on cost control, inventory improvement, and system reliability.

Requirements

3 to 5 years of experience in supply chain analytics or related data analytics domains such as operations, procurement, inventory, BI, or data analysis.
Proficiency with Power BI, Tableau, SQL, Power Query, or equivalent reporting and visualization tools.
Experience working with ERP systems or large-scale operational data sets.
Background in food manufacturing, CPG, ingredients, packaging, warehousing, logistics, or multi-site manufacturing.

Technologies

Power BI
Tableau
SQL
Power Query
Microsoft Dynamics
Aptean F&B
Catalyst
SAP
NetSuite
Oracle

Benefits

Medical options including PPO or HSA with employer contributions
Dental, vision, life, AD&D, and disability insurance
401(k) with competitive company match
Holidays, vacation accrual, PTO, and parental leave
Tuition reimbursement
Uniforms and boots provided
Employee assistance program, paid volunteer days, and referral bonuses

Nice to Have

Experience with ERP systems such as Microsoft Dynamics, Aptean F&B, Catalyst, SAP, NetSuite, Oracle, or similar
Experience supporting ERP migrations, system conversions, data cleanup, or master data improvement projects
Familiarity with item master data, BOMs, purchase orders, inventory transactions, and production reporting
Bachelor's degree in supply chain, business, economics, operations management, finance, or related field