Senior Data Analyst, Supply

myBridge Corporation; Los Angeles (CA); On-site; USD 90,000 - 130,000; Part time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Job summary

myBridge Corporation is seeking a Senior Data Analyst, Supply, to turn complex supply chain data into actionable business insights. You will support demand planning, inventory optimization, supplier performance, and operational reporting.

The role emphasizes building dashboards, reports, and models, and collaborating with cross-functional teams to drive improvements in supply chain efficiency. on-site, temporary engagement.

Qualifications

• Bachelor’s degree in a relevant field.
• Strong SQL and data visualization skills.
• Experience with large, complex datasets and data pipelines.

Responsibilities

• Analyze supply, inventory, procurement, demand, and supplier performance data.
• Develop dashboards, reports, and analytical models to support operational and strategic decisions.
• Identify trends, risks, inefficiencies, and opportunities across supply chain operations.
• Monitor KPIs such as inventory turnover, order fulfillment, supplier lead times, and forecast accuracy.
• Partner with supply planners, procurement teams, operations leaders, and finance stakeholders.
• Build and maintain data pipelines, reporting datasets, and repeatable analytical processes with data engineering teams.
• Validate data quality, investigate discrepancies, and recommend corrective actions.
• Conduct root-cause analysis for shortages, excess inventory, delays, and performance gaps.
• Support forecasting, scenario analysis, capacity planning, and supply optimization initiatives.
• Present findings and recommendations through clear reports and stakeholder presentations.
• Improve analytical workflows through automation and standardized reporting practices.

Skills

Advanced SQL

Power BI

Excel (advanced)

Python or R

Education

Bachelor's degree in Data Analytics, Supply Chain Management, Statistics, Business Analytics, Engineering, or related field

Tools

Power BI

Tableau

Job description

Medical Insurance, Dental Insurance, Vision Insurance

Temporary | On-site

Why work here

This role offers the opportunity to automate complex processes,

Required Skills

We are seeking a Senior Data Analyst, Supply to transform supply chain and supply operations data into actionable business insights. This role will support demand and supply planning, inventory optimization, supplier performance analysis, and operational reporting. The ideal candidate combines strong analytical skills with business understanding and the ability to communicate findings to technical and non-technical stakeholders.

Key Responsibilities

• Analyze supply, inventory, procurement, demand, and supplier performance data.
• Develop dashboards, reports, and analytical models to support operational and strategic decisions.
• Identify trends, risks, inefficiencies, and opportunities across supply chain operations.
• Monitor key performance indicators such as inventory turnover, order fulfillment, supplier lead times, and forecast accuracy.
• Partner with supply planners, procurement teams, operations leaders, and finance stakeholders.
• Build and maintain data pipelines, reporting datasets, and repeatable analytical processes in collaboration with data engineering teams.
• Validate data quality, investigate discrepancies, and recommend corrective actions.
• Conduct root-cause analysis for supply shortages, excess inventory, delays, and performance gaps.
• Support forecasting, scenario analysis, capacity planning, and supply optimization initiatives.
• Present findings and recommendations through clear reports and stakeholder presentations.
• Improve analytical workflows through automation and standardized reporting practices.

Required Skills

• Advanced SQL and experience working with large, complex datasets.
• Proficiency in Power BI, Tableau, or similar data visualization platforms.
• Strong Excel skills, including advanced formulas, pivot tables, and data analysis.
• Experience with Python or R for statistical analysis is an advantage.

Education and Experience

• Bachelor’s degree in Data Analytics, Supply Chain Management, Statistics, Business Analytics, Engineering, or a related field.