Xaxis Solutions
Senior Supply Chain Solutions Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Supply Chain Solutions Analyst, a 6-month contract position offering "$X" per hour. Key skills include 5+ years in data analysis, strong Python and SQL proficiency, and experience in supply chain or hardware operations.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#ML (Machine Learning) #Data Manipulation #AI (Artificial Intelligence) #SQL (Structured Query Language) #Python #React #Web Development #Datasets #Pandas #Scripting #API (Application Programming Interface) #Presto #Visualization #Databases #Classification #Monitoring #Data Quality #Streamlit #Data Science #Flask
Role description
Role Summary
We're looking for a senior solutions analyst to build internal tools and deliver data-driven analyses.
What You'll Do
Data Validation & Analysis
Validate and cleanse internal BOM (Bill of Materials) and MPN (Manufacturer Part Number) data across systems
Cross-reference supplier data against external sources (Z2Data, DigiKey, SiliconExpert) to identify gaps, risks, and inconsistencies
Build automated data quality checks and exception workflows
Deliver ad-hoc analyses, e.g., "which components in this program have lifecycle risk?" or "where are we single-sourced on long-lead parts?"
Internal Tools & Applications
Build and iterate on custom internal tools for supply chain risk monitoring (Python, web-based dashboards, APIs)
Integrate external market intelligence platforms into internal workflows
Develop AI-assisted features - risk scoring, lifecycle classification, early warning signals
Create self-service analytics and visualizations for non-technical sourcing leads
Solution Design
Translate supply chain business problems into technical solutions
Prototype fast - get a working tool in front of users within days, not months
Work with existing data infrastructure (pipelines, tables, etc) rather than building from scratch
Identify opportunities to automate manual processes with AI/LLM tools
Required Skills
5+ years in a technical analyst, solutions engineer, or applied data science role
Strong Python - scripting, data manipulation (pandas), API integrations, light web development
Proficient in SQL — can query large datasets, write complex joins, work with partitioned tables
Experience connecting to and working with external APIs and data sources
Ability to build working internal tools quickly - web apps, dashboards, notebooks, scripts
Comfortable working with messy, real-world data - reconciling across sources, handling edge cases
Strong communication — can present findings to non-technical stakeholders clearly
Nice to Have
Supply chain, procurement, or hardware operations background
Familiarity with electronic component data (BOMs, AVLs, MPNs, lifecycle stages)
Experience with component databases (DigiKey, Octopart, Z2Data, SiliconExpert)
Comfort with AI/ML tools - LLMs, classification models, or using AI assistants to accelerate work
Web frameworks (Flask, Streamlit, React) for rapid prototyping
Meta internal tools (Bento, Presto/Hive, Unidash, Dataswarm) or equivalent at scale
Role Summary
We're looking for a senior solutions analyst to build internal tools and deliver data-driven analyses.
What You'll Do
Data Validation & Analysis
Validate and cleanse internal BOM (Bill of Materials) and MPN (Manufacturer Part Number) data across systems
Cross-reference supplier data against external sources (Z2Data, DigiKey, SiliconExpert) to identify gaps, risks, and inconsistencies
Build automated data quality checks and exception workflows
Deliver ad-hoc analyses, e.g., "which components in this program have lifecycle risk?" or "where are we single-sourced on long-lead parts?"
Internal Tools & Applications
Build and iterate on custom internal tools for supply chain risk monitoring (Python, web-based dashboards, APIs)
Integrate external market intelligence platforms into internal workflows
Develop AI-assisted features - risk scoring, lifecycle classification, early warning signals
Create self-service analytics and visualizations for non-technical sourcing leads
Solution Design
Translate supply chain business problems into technical solutions
Prototype fast - get a working tool in front of users within days, not months
Work with existing data infrastructure (pipelines, tables, etc) rather than building from scratch
Identify opportunities to automate manual processes with AI/LLM tools
Required Skills
5+ years in a technical analyst, solutions engineer, or applied data science role
Strong Python - scripting, data manipulation (pandas), API integrations, light web development
Proficient in SQL — can query large datasets, write complex joins, work with partitioned tables
Experience connecting to and working with external APIs and data sources
Ability to build working internal tools quickly - web apps, dashboards, notebooks, scripts
Comfortable working with messy, real-world data - reconciling across sources, handling edge cases
Strong communication — can present findings to non-technical stakeholders clearly
Nice to Have
Supply chain, procurement, or hardware operations background
Familiarity with electronic component data (BOMs, AVLs, MPNs, lifecycle stages)
Experience with component databases (DigiKey, Octopart, Z2Data, SiliconExpert)
Comfort with AI/ML tools - LLMs, classification models, or using AI assistants to accelerate work
Web frameworks (Flask, Streamlit, React) for rapid prototyping
Meta internal tools (Bento, Presto/Hive, Unidash, Dataswarm) or equivalent at scale
