About This Role
This Data Analyst role focuses on supply chain analytics within the Central Planning Team, which is responsible for analyzing, forecasting, and reporting on quarterly revenue targets. The position involves developing data-driven tools and reports to enhance decision-making, utilizing supply chain planning, finance, and sales data. It suits a fast learner with a passion for data analysis and a desire to make a meaningful impact.
Responsibilities
- Develop and maintain reports and dashboards to provide critical insights into customer demand fulfillment and supply availability
- Utilize advanced SQL querying techniques (Snowflake environment) for data extraction, manipulation, and analysis, ensuring data integrity and accuracy
- Contribute to the development of forecasting models through the integration of diverse data sources, with potential involvement in the application of AI/ML methodologies
- Design and implement interactive and automated dashboards that effectively visualize complex datasets for enhanced stakeholder understanding
- Conduct ad-hoc analyses to support data-driven decision-making, identify trends, and provide actionable recommendations for supply chain performance improvement
- Partner with cross-functional teams within supply chain operations to elicit data requirements and translate them into robust reporting solutions
- Maintain awareness of industry best practices in data analytics, reporting methodologies, and visualization tools
- Effectively communicate analytical findings, insights, and recommendations to relevant stakeholders
Requirements
- Bachelor's degree in Data Science, Business Analytics, Supply Chain Management, or a related quantitative discipline
- Demonstrated experience in data analysis, including proficiency in SQL and familiarity with data visualization platforms (e.g., Tableau) and data warehousing solutions (e.g., Snowflake)
- Proven ability to analyze complex datasets, identify key insights, and develop practical solutions
- Strong analytical and problem-solving skills
- Effective communication and interpersonal skills to collaborate with cross-functional teams
- Demonstrated capacity for rapid learning and adaptation to evolving business priorities
Nice to have:
- Prior experience within a supply chain environment, preferably in the high-tech sector
- Expertise in developing complex SQL queries and optimizing data retrieval processes
- Experience in the creation and deployment of data dashboards and visualizations
- Exposure to AI/ML concepts and their application in analytical contexts
- Proficiency in programming languages relevant to data analysis (e.g., Python)
Benefits