Description
We are seeking a Data Analyst to join our Central Planning Team, focusing on supply chain analytics. As a Data Analyst, you will contribute to the development of data-driven tools and reports that drive insights and enhance decision-making.
Responsibilities:
- Develop and maintain reports and dashboards to provide critical insights into customer demand fulfillment and supply availability.
- Utilize advanced SQL querying techniques 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.
Education and Qualifications:
- 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 and data warehousing solutions.
- 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.
Preferred Qualifications:
- 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.