ASSPL
Business Intelligence, Business Intel Engineer, operations
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer at ASSPL. Skills: Business Intelligence, Analytics, Data Engineering, Supply Chain. Understand customer behaviors. Spot system defects”
What You'll Achieve.
Improve business outcomes
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Experience with Python scripting
Nice to Have
Experience with AWS solutions, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience working with business stakeholders
What You'll Do.
Understand customer behaviors
Benchmark ability to serve customers
Improve internal products
Design analytics solutions
Develop analytics solutions
Monitor supply chain metrics
Optimize supply chain metrics
Create interactive dashboards
Create automated reporting systems
Build predictive models
Create scalable solutions
Track deal inventory readiness
Identify opportunities for process automation
Identify opportunities for innovation
How You'll Work.
Team & Collaboration
Work with Scientists; Work with Product Managers; Work with Business Intelligence Engineers; Work with Supply Chain Managers; Partner with category stakeholders; Partner with business stakeholders
Full Job Description
SCOT AIM team is seeking an exceptional Business Intelligence Engineer to join our innovative Inventory automation analytics team. This pioneering role will be instrumental in building and scaling analytics solutions that drive critical business decisions across inventory management, supply chain optimization and channel performance. You will work closely with Scientists, Product Managers, other Business Intelligence Engineers, and Supply Chain Managers to build scalable, high insight - high impact products and own improvements to business outcomes within your area, enabling WW and local solutions for retail Key job responsibilities Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact selection decisions both nationally and regionally. • Design and develop end-to-end analytics solutions to monitor and optimize supply chain metrics, including and not limited to availability, placement, inventory efficiency and capacity planning & management at various business hierarchies. • Create interactive dashboards and automated reporting systems to enable deep-dive analysis of inventory performance across multiple dimensions (ASIN/GL/Sub-category/LOB/Brand level). • Build predictive models for seasonal demand forecasting and inventory planning, supporting critical business events and promotions. • Create scalable solutions for tracking deal inventory readiness for small events and channel share management. • Partner with category & business stakeholders to identify opportunities for process automation and innovation. A day in the life • Pioneering new analytical approaches and establishing best practices. • Building solutions from the ground up with significant autonomy. • Driving innovation in supply chain analytics through automation and advanced analytics. • Making a direct impact on business performance through data-driven decision making.
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