Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана чётко и сочетает проектирование складских решений с практической аналитикой; поездки до 50% и обязательная степень магистра требуют учёта при выборе.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Solution Design & Data Insights Associate (Supply Chain Analytics): Designing automated cold storage warehouses by translating customer and market data into capacity models, warehouse layouts, data pipelines, and decision-ready recommendations with an accent on SQL, Power BI, Excel, ETL, and operational modeling. Focus on building reproducible data workflows, resolving pipeline failures, validating assumptions with cross-functional teams, and supporting customer workshops and site collaboration with travel up to 50%.
Location: Supports customer workshops and site collaboration with travel up to 50%; no fixed work location is stated.
Salary: $105,000–$115,000 annual base salary, plus bonus eligibility.
Company
hirify.global develops automated cold storage warehouses and transport solutions that connect food manufacturers with retailers and food service providers.
What you will do
Lead capacity modeling and conceptual warehouse layouts using customer and market data, defining warehouse size, dock numbers, storage locations, and operational parameters.
Manage assumptions, constraints, and risks throughout the solution design lifecycle.
Build and maintain repeatable data ingestion, cleaning, modeling, and ETL pipelines using Power BI, Excel, SQL, and other relevant tools.
Create executive-ready solution narratives, presentations, dashboards, and data-driven recommendations for internal and external stakeholders.
Collaborate with Business Development, Engineering, Warehouse Management Systems, Implementation, and Operations teams to validate assumptions and ensure effective handoffs.
Facilitate customer and internal workshops, maintain auditable version-controlled datasets and models, and contribute to budgeting and transport analysis tools.
Requirements
5+ years of hands-on analysis experience with ownership of outcomes, not only data preparation.
Ability to independently write production-quality SQL using CTEs, joins, aggregations, and data-type conversion, and explain fact and dimension models.
Advanced Excel proficiency and strong hands-on experience with SQL and Power BI, including data modeling and DAX for decision-ready dashboards.
Experience building and maintaining ETL pipelines from source systems into data models, including mappings, load order, data quality checks, and failure handling.
Experience building Power BI models and reports with DAX measures and reconciling results against source data.
Ability to present analysis to non-technical stakeholders, including operations managers, sales teams, or customers.
Ability to structure unclear questions and messy data, ask appropriate questions, and document assumptions.
Bachelor’s degree in Industrial Engineering, Mathematics, or a related technical discipline; a master’s degree in Industrial Engineering, Supply Chain Management, Operations Research, Data Science, Business Analytics, Information Systems, or a comparable quantitative field is required.
Willingness and ability to travel up to 50% for customer engagements and site collaboration.
Nice to have
Experience in supply chain, logistics, warehousing, distribution, or 3PL, including orders, order lines, SKUs, pallets, cases, inbound and outbound flows, throughput, and capacity.
Experience with Azure Data Factory.
Experience in warehouse design, slotting, automation, or cold chain operations.
Customer-facing analysis experience in consulting, a 3PL, or a solutions or engineering team.
Experience using Python for data work.
Culture & Benefits
Collaborative, fast-moving environment focused on innovative and sustainable food supply chain solutions.
Eligible employees may enroll in health insurance, retirement savings, life and disability insurance, and paid or unpaid time-away programs.
Four weeks of accrued paid time off and paid holidays are offered, subject to eligibility factors such as geography and hire date.
The role includes customer workshops and site collaboration with travel of up to 50%.
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