Data Analytics Intern

Aura•New York City, NY

About The Position

We are seeking an Intern with a focus on Data Analytics to support data-driven decision making across our supply chain and operations teams . This role will focus on analyzing operational data, monitoring key performance indicators (KPIs), and building dashboards that provide visibility into operational performance. A key responsibility of this role will be helping design, build, and maintain KPI dashboards using tools such as Metabase and AI-assisted analytics platforms (e.g., Claude) to help operational teams monitor inventory, fulfillment, logistics, and other critical metrics. The ideal candidate is detail-oriented, comfortable working with data, and interested in applying analytics to improve supply chain processes and operational efficiency.

Requirements

Data analysis and interpretation
SQL and data querying
Dashboard development and KPI reporting
Data visualization and storytelling
Supply chain performance analysis
Attention to detail and data accuracy
Cross-functional collaboration
Strong attention to detail and ability to work with large datasets.
Basic knowledge of SQL and relational databases.
Basic understanding of supply chain concepts such as inventory management, forecasting, fulfillment, or transportation operations

Nice To Haves

Experience building dashboards or reports in Metabase or similar BI tools
Familiarity with data visualization and dashboard tools (Metabase, Tableau, Power BI, or similar)
Familiarity with AI-assisted analytics tools such as Claude for data exploration or workflow support.
Experience working with ERP, WMS, or logistics platforms is a plus.

Responsibilities

Collect, clean, and analyze supply chain and operational data from internal systems and external sources.
Develop and maintain KPI dashboards in Metabase and AI-assisted analytics tools (e.g., Claude) to provide real-time visibility into operational performance.
Build recurring reports and visualizations tracking key metrics such as inventory levels, fulfillment performance, order cycle time, and shipping accuracy.
Identify trends, anomalies, and operational performance gaps through data analysis.
Support ad-hoc analytical requests from operations, logistics, and planning teams.
Monitor and analyze supply chain KPIs including inventory turnover, on-time shipping, order fulfillment rates, and forecast accuracy.
Assist in evaluating warehouse performance, transportation metrics, and vendor performance.
Support operational teams with data insights to improve planning, logistics efficiency, and service levels.
Design and build interactive dashboards and reporting frameworks that enable operations teams to monitor KPIs.
Use SQL queries and data modeling to support dashboard development in Metabase.
Work with stakeholders to define KPI definitions, metrics, and reporting requirements.
Utilize AI-assisted analytics tools (e.g., Claude) to accelerate analysis, explore operational data, and prototype reporting solutions.
Identify opportunities to automate recurring reports and streamline data workflows.
Support cross-functional operational improvement initiatives through data analysis.
Contribute to improving supply chain visibility and operational decision-making through better reporting tools.