Medix™
Position: Supply Chain Data Analyst
Pay: $35.00 – $45.00 per hour (based on experience)
Contract: 3-month contract, full-time (potential for extension or hire)
Site: Carlsbad, CA (Hybrid – 3 days onsite, 2 days remote)
Description
The
Data Analyst – Global Supply Chain
will play a key role in supporting the Manufacturing and Supply Chain teams through data-driven insights and process improvements. This role focuses on data analysis, reporting, and automation to support forecasting, planning, and performance tracking initiatives across global operations.
Key Responsibilities
Analyze manufacturing, logistics, and supply chain data to identify trends and process improvement opportunities.
Develop and maintain dashboards and data visualizations using
Power BI
and
Excel .
Generate weekly, monthly, and ad-hoc reports to support strategic decision-making.
Utilize
SQL ,
Power Query , and
Power Automate
to streamline data collection and reporting processes.
Collaborate with cross-functional teams across
manufacturing, planning, and procurement
to ensure data accuracy and consistency.
Support supply and demand forecasting through data modeling and performance metrics tracking.
Assist with master data management, ensuring alignment between systems such as
Oracle R12 ,
Cognos , and other ERP tools.
Provide recommendations to optimize operations, reduce waste, and improve delivery efficiency.
Schedule
Monday – Friday, 8:00 AM – 5:00 PM (Hybrid schedule; three days onsite in Carlsbad, two days remote).
Requirements
Bachelor’s degree in
Data Analytics, Supply Chain, Business, or related field
required.
3+ years of experience in
data analytics or supply chain analytics , preferably in a
manufacturing or life sciences
environment.
Proficiency in
Power BI, Power Query, Excel, SQL , and
Power Automate .
Strong analytical, organizational, and problem-solving skills.
Experience working with ERP systems such as
Oracle R12
or
Cognos
preferred.
Excellent communication skills with the ability to translate data insights into actionable recommendations.
Nice-to-Have Skills
Experience in
forecasting, planning, or logistics analytics .
Exposure to
Lean Six Sigma
or continuous improvement methodologies.
Ability to manage multiple projects in a fast-paced, cross-functional environment.
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Data Analyst – Global Supply Chain
will play a key role in supporting the Manufacturing and Supply Chain teams through data-driven insights and process improvements. This role focuses on data analysis, reporting, and automation to support forecasting, planning, and performance tracking initiatives across global operations.
Key Responsibilities
Analyze manufacturing, logistics, and supply chain data to identify trends and process improvement opportunities.
Develop and maintain dashboards and data visualizations using
Power BI
and
Excel .
Generate weekly, monthly, and ad-hoc reports to support strategic decision-making.
Utilize
SQL ,
Power Query , and
Power Automate
to streamline data collection and reporting processes.
Collaborate with cross-functional teams across
manufacturing, planning, and procurement
to ensure data accuracy and consistency.
Support supply and demand forecasting through data modeling and performance metrics tracking.
Assist with master data management, ensuring alignment between systems such as
Oracle R12 ,
Cognos , and other ERP tools.
Provide recommendations to optimize operations, reduce waste, and improve delivery efficiency.
Schedule
Monday – Friday, 8:00 AM – 5:00 PM (Hybrid schedule; three days onsite in Carlsbad, two days remote).
Requirements
Bachelor’s degree in
Data Analytics, Supply Chain, Business, or related field
required.
3+ years of experience in
data analytics or supply chain analytics , preferably in a
manufacturing or life sciences
environment.
Proficiency in
Power BI, Power Query, Excel, SQL , and
Power Automate .
Strong analytical, organizational, and problem-solving skills.
Experience working with ERP systems such as
Oracle R12
or
Cognos
preferred.
Excellent communication skills with the ability to translate data insights into actionable recommendations.
Nice-to-Have Skills
Experience in
forecasting, planning, or logistics analytics .
Exposure to
Lean Six Sigma
or continuous improvement methodologies.
Ability to manage multiple projects in a fast-paced, cross-functional environment.
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