Data Integration Analyst II

As a Data Integration Analyst II at ArrowStream, your primary responsibilities will include analyzing customer requirements, conducting gap analyses, and ensuring data intake meets standards. You will communicate specifications to business partners, collaborate with the Development Team to deploy new integrations, validate data accuracy, and manage support inquiries from clients.

To apply for the Data Integration Analyst II position at ArrowStream, you should have at least three years of experience in data implementation and integration, preferably in a client-facing role. A Bachelor’s degree with a focus on supply chain is required, and experience in EDI, XML, and various data types is highly preferred.

Experience in the food service, supply chain, or B2B services sectors will be beneficial for the Data Integration Analyst II role at ArrowStream. Familiarity with data management systems and various file formats will also help you excel in this position and support our team’s data integration efforts.

Absolutely! At ArrowStream, we encourage candidates to apply even if they don’t meet every qualification. We value diverse backgrounds and believe that unique experiences can bring valuable perspectives to our team. If you’re excited about the role, we want to hear from you!

As a Data Integration Analyst II at ArrowStream, you can expect fantastic benefits including medical, dental, and vision coverage, flexible spending accounts, company-paid life and long-term disability insurance, and a 401(k) plan with company match. We also promote a healthy work-life balance with our Personal Responsibility Paid Time Off policy.

When answering this question, provide specific examples of your experience with data integration, detailing the techniques you used, the types of data files you worked with, and the outcomes of your efforts. Be sure to highlight any tools and software that aided your success.

It’s important to discuss your organizational strategies here. Explain how you assess project urgency, timelines, and stakeholder needs to prioritize tasks. Mention any project management tools you utilize to stay on track and ensure deadlines are met.

Discuss specific validation techniques you've employed, such as cross-checking data against multiple sources, using validation scripts, or leveraging statistical methods to ensure accuracy. Explain the importance of data integrity and how it impacts supply chain processes.

Share your approach to handling inquiries with a focus on communication and problem-solving. Talk about methods you use to engage with clients, diagnose issues, and coordinate solutions with team members to ensure client satisfaction.

Be ready to narrate a specific project where you faced challenges, outlining the steps you took to navigate these issues. Focus on your problem-solving skills and adaptability, and emphasize the successful outcome of the project.

Discuss your hands-on experience with XML, EDI, or any other relevant data formats. Provide examples of how you've utilized these formats in data integration tasks and the impact they had on the efficiency of the processes.

Highlight your ability to simplify complex concepts when communicating with non-technical stakeholders. Mention specific techniques you use, like using visuals, analogies, or tailored presentations to ensure understanding.

Outline the process you follow for conducting a gap analysis, focusing on identifying current data states, desired outcomes, and the discrepancies between them. Be sure to mention how you involve stakeholders in this process.

Prepare to describe a specific instance where you identified inefficiencies in a data integration process and what changes you implemented to improve it. Highlight the techniques you used and the measurable results that followed.

Discuss your proficiency with MS Excel and MS Access by providing examples of tasks you've accomplished using these tools, such as data analysis, reporting, or developing databases, which are crucial for the Data Integration Analyst II role.