ALO is looking to improve its planning and inventory management through continuous improvement initiatives, requiring an Inventory Data Analyst to automate existing processes and derive actionable insights from complex datasets.
Requirements
- Strong SQL skills with experience writing advanced queries (joins, aggregations, CTEs, conditional filters) in analytical data warehouses.
- Proficiency in Python or R for statistical analysis, data modeling, and automation.
- Experience with BI tools such as Tableau or ThoughtSpot; capable of building intuitive, scalable dashboards from scratch.
- Skilled in working with diverse, complex data sources (e.g., Amazon Redshift, Cyberquery, Anaplan, FDM4, Shopify).
Responsibilities
- Build and maintain dashboards, automated reporting, and analytics solutions to democratize data across the organization.
- Translate complex datasets into actionable insights across sales, inventory and margin that drive growth, improve forecast accuracy, and enhance operational efficiency.
- Apply predictive modeling and statistical analysis to improve demand planning and inventory allocation decisions.
- Ensure data accuracy and consistency across systems through validation and quality checks.
- Establish and uphold best practices in analytics, reporting, and dashboard development, including maintainability and scalability standards.
- Communicate findings and recommendations to business stakeholders and senior leadership in a clear, impactful manner.
Other
- 2–4 years of experience in data analytics, preferably in high-growth e-commerce or digitally enabled retail environments, with proven ability to translate insights into business strategy.
- Excellent communication, prioritization, and problem-solving skills; able to thrive in ambiguous, fast-paced environments.
- Some merchandise planning or allocation experience is required.
- Bachelor’s degree in a quantitative field (Economics, Finance, Mathematics, Statistics, Engineering, etc.).
