Data Analyst

Role Overview

Partner with teams to build analytics products that improve demand planning, supply chain performance, and operational decision-making.

What You Will Do

Develop and deploy analytics solutions, integrate and analyze large datasets, build interactive dashboards, and design Snowflake architectures.

Why It Might Be a Fit

Success means delivering reliable solutions that demonstrate business value and return on investment.

Requirements

• Develop and deploy analytics solutions using advanced Python and Snowflake SQL.
• Integrate, transform, and analyze large relational datasets from ERP, MRP, and other enterprise sources.
• Build interactive dashboards and analytics applications using Power BI, SIGMA, Streamlit, or similar tools.
• Design and maintain Snowflake architectures and support migrations across development, test, and production environments.
• Build cloud-native, containerized applications and services, including front ends, back ends, APIs, and service-account integrations.
• Create GitHub workflows and CI/CD pipelines to automate the movement of Python and Snowflake code and data across environments.
• Apply development practices such as test-driven development, validation, secure handling of credentials, and production rollback planning.
• Translate business requirements into technical projects and explain technical issues in terms of business impact.
• Work with manufacturing and supply chain processes, including order-to-cash, procure-to-pay, and demand-to-deliver.
• Collaborate with cross-functional teams across geographies and communicate findings to technical teams, business partners, and executives.
• Participate in Agile project work, including sprint planning and regular team check-ins.

Benefits

• Competitive salary
• Benefits package
• Paid time off
• Health insurance
• Retirement plan
• Professional development opportunities

Tagged as: Data Analysis