Supply Chain Analyst – Analytics, Transformation

Jobtailor

Minnesota

On-site

USD 95,000 - 140,000

Full time

3 days ago

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Job summary

Jobtailor is seeking a Senior Data Analyst to support E1 ERP implementation, focusing on Quote-to-Cash and manufacturing data needs. You will transform and validate data and build dashboards using Power BI and Python.

You will collaborate with Supply Chain, IT, Finance, and Operations, delivering repeatable data pipelines, KPIs, and data governance to improve forecast accuracy and operational performance.

Qualifications

Bachelor’s degree in Supply Chain, Data Science, Engineering, Business Analytics, or a related field is required.
4+ years of experience in end-to-end supply chain processes (planning, inventory, manufacturing, order fulfillment, or customer service).
Experience extracting, transforming, and analyzing data from ERP and other systems.
Hands-on experience using Python for data transformation and analytics.
Strong SQL skills across multiple sources.
Experience developing Power BI dashboards and KPIs.
Ability to translate business needs into data and process requirements.
Experience supporting ERP implementations and data migrations.
Advanced Excel and data-modeling capabilities.
Experience with data governance, ETL, and data pipelines.
Ability to work with cross-functional teams.

Responsibilities

Support the E1 ERP implementation focusing on QTC and manufacturing requirements.
Extract, cleanse, transform, and reconcile data for implementation readiness.
Develop validation controls and data pipelines for data conversion and business continuity.
Create dashboards and analytics to improve end-to-end supply chain visibility.
Partner with cross-functional teams to resolve data gaps and reduce risk.
Provide analytical support during cutover, stabilization, and post-implementation issue resolution.

Skills

Python Data Transformation

SQL Data Analysis

Power BI Dashboard Development

ERP Implementation Support

Supply Chain Process Improvement

Data Modeling

Education

Bachelor's degree in Supply Chain, Data Science, Engineering, Business Analytics, or a related field

Tools

Power BI

Microsoft Excel

Automation Tools

AI-Enabled Tools

ETL

Job description

Support the E1 ERP implementation, focusing on Quote-to-Cash (QTC) and manufacturing requirements
Extract and analyze customer, material, order, inventory, manufacturing, and transactional data
Cleanse, validate, transform, and reconcile datasets for implementation readiness
Partner with Supply Chain, Manufacturing, IT, Commercial, Finance, and implementation teams to resolve data gaps and reduce risk
Develop validation controls and reconciliation processes for data conversion and business continuity
Provide analytical support during cutover, stabilization, and post-implementation issue resolution
Build reporting on implementation readiness, data quality, operational risks, and business performance
Translate supply chain challenges into data, reporting, automation, and process solutions
Develop dashboards, analytical tools, and automated workflows
Use Python, SQL, Power BI, Excel, automation, and AI-enabled tools to improve supply chain analytics
Replace manual or spreadsheet-intensive processes with sustainable solutions
Investigate systemic data and process issues, identify root causes, and implement lasting improvements
Develop business cases quantifying operational and financial impacts
Create standard work, process documentation, and training materials
Lead analytical and transformation projects from problem definition through implementation and measurable results
Develop reporting and analytics to improve end-to-end supply chain visibility and decision-making
Identify trends, constraints, risks, and root causes across supply chain and manufacturing performance
Support inventory optimization, working capital, back-order reduction, fulfillment, customer service, lead-time reduction, forecast accuracy, and manufacturing performance initiatives
Establish KPIs and performance monitoring
Partner with planning and operational teams to improve forecast accuracy across portfolio, product-family, and key-item levels

Requirements

Bachelor’s degree in Supply Chain, Data Science, Engineering, Business Analytics, or a related field required
4+ years of experience working with end-to-end supply chain processes such as planning, inventory management, manufacturing, order fulfillment, or customer service
Experience extracting, transforming, validating, and analyzing data from ERP and other enterprise business systems
Hands‑on experience using Python for data transformation, validation, automation, or analytics
Strong working knowledge of SQL, including querying, joining, validating, and analyzing data across multiple sources
Experience developing Power BI dashboards, data models, KPIs, and business performance reporting
Ability to work with large, complex datasets and translate analysis into clear business insights and recommendations
Experience supporting ERP implementations, system transformations, process improvements, or significant changes to reporting and analytics capabilities
Strong analytical and problem‑solving skills
Ability to translate business needs into data, system, reporting, and process requirements
Experience partnering across Supply Chain, Manufacturing, IT, Finance, Commercial, and Operations
Ability to manage multiple priorities, stakeholders, risks, and deliverables in a dynamic environment
Advanced Microsoft Excel and data-modeling capabilities
Experience with scripting and automation
Experience with ETL, data transformation, data integration, data governance, master data, or data-validation methodologies
Experience developing repeatable data pipelines, automated controls, or scalable analytical solutions
Familiarity with ERP migration, data conversion, system transformation, and reconciliation activities
Experience integrating data across multiple enterprise systems
Experience using AI-enabled development or analytics tools, such as Codex or similar AI coding assistants
Legally authorized to work in the United States without current or future employer-sponsored work authorization
Able to work from the designated work location without company‑provided relocation assistance
Successful completion of a background check and drug screening

Core Competencies

Demonstrates expertise in Supply Chain Analytics, focusing on data extraction, transformation, and reporting to enhance operational performance. Proficient in developing automated solutions and dashboards using Python, SQL, and Power BI to support ERP implementations and process improvements.

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