Supply Chain Data Analyst

As a Supply Chain Data Analyst at Archer, your main responsibilities will include managing supply chain data in our ERP system, reconciling and analyzing data for completeness, and understanding cross-functional requirements. You will also contribute to operational reporting needs, develop metrics in reporting solutions, and lead small projects to improve processes across different supply chain functions.

To be considered for the Supply Chain Data Analyst position at Archer, candidates should have at least 3 years of relevant experience in data analysis, industrial engineering, or supply chain management. A Bachelor's or Master's degree in business, supply chain, industrial engineering, or IT is required, along with proficiency in ERP systems like SAP, SQL querying, and data visualization tools like Tableau or Power BI.

In your role as Supply Chain Data Analyst at Archer, you will work with various tools such as the Archer ERP system, ERP capability tools like SAP for core functions, and data visualization software such as Tableau and Power BI. Familiarity with collaborative workflow solutions, for instance, JIRA, will also be advantageous in managing projects efficiently.

At Archer, we are committed to your growth and development. As a Supply Chain Data Analyst, you will have opportunities to participate in capability improvement projects, and you can further your skills in data governance, report generation, and process modeling. Additionally, we support career advancement through various training programs and mentorship, aligning with our pay-for-performance culture.

While the Supply Chain Data Analyst position at Archer is primarily based in our San Jose, California, office, we understand the importance of flexibility. We encourage candidates to inquire about remote work possibilities during the application process to find a suitable arrangement that fosters productivity and collaboration.

In response to this question, you should highlight your hands-on experience with various ERP systems, particularly SAP. Discuss how you have used them to manage supply chain data, support analytics, and improve efficiency within the supply chain processes.

When answering, explain your methodical approach to data management, including reconciliation techniques, regular audits, and cross-departmental coordination. Mention any specific tools or software you utilized for these processes.

Answer by sharing specific examples of dashboards or metrics you've created, the KPIs you've focused on, and how these insights impacted supply chain decision-making. Be sure to include the visualization tools you've used in these efforts.

Here, you should discuss your time management strategies and how you prioritize tasks to meet deadlines without compromising data quality. Mention any tools or methodologies that assist you in maintaining high standards under pressure.

In your response, tell a concise story about a specific scenario where you analyzed data and proposed a successful process improvement initiative. Highlight your role, the steps you took, and the positive outcome that followed.

Your answer should reflect an understanding of data governance and architecture principles. Explain your analytical process for gathering requirements, engaging stakeholders, and defining frameworks that ensure data integrity and usability across systems.

Discuss any data visualization tools you have used, such as Tableau, Power BI, or Qlik Sense. Provide examples of projects where you utilized these tools, emphasizing how they helped convey important data insights to stakeholders.

Here, share your experiences of collaborating with different teams in supply chain functions. Emphasize your communication and teamwork skills, and discuss how you’ve successfully worked with various stakeholders to achieve common goals.

Articulate your understanding of data governance and its critical importance in maintaining data accuracy and compliance in supply chain operations. Discuss best practices for ensuring quality and reliability in data stewardship.

In your answer, focus on your professional aspirations and how they align with Archer’s vision. Highlight your desire to contribute positively to the team, improve data processes, and support the company's mission in advanced air mobility.