<p>Hybrid, employee opportunity to join a high performing team as a Business Systems Analyst. This position will be instrumental in understanding managements data and reporting needs. Will provide and explain data so that business decisions may be made.</p><p>In this role, you will join a team made up of Business Systems Analysts, Data Engineers and a Data Architect.</p><p><strong> </strong></p><ul><li>The company is in beginning stages of data analytics. They need exceptional candidates with high skillset.</li><li>Solid Power BI or some AI with minimal Power BI</li><li>Must be a go getter who is willing to do what it takes to complete the task.</li><li>Must be able to explain business numbers and understand tradeoffs (e.g. sales numbers, inventory, revenue…). Will not only create reports and dashboards but must be able to discuss data and make sense of data.</li><li>Polished – will be working with clients.</li><li>Ability to explain business processes you are altering</li><li>Pivot and understand what needs to be done.</li></ul><p><br></p>
We are looking for an experienced Data Engineer to join our team in Raleigh, North Carolina. In this position, you will play a pivotal role in designing, developing, and managing data solutions that support organizational decision-making. The ideal candidate will have a strong background in data engineering and a desire to grow into Data Architecture responsibilities.<br><br>Responsibilities:<br>• Design and implement data pipelines to extract sales data and integrate it into Snowflake using Snowpipe.<br>• Collaborate with executive leadership and vendors to ensure data solutions align with business objectives.<br>• Develop and maintain APIs to connect various systems and streamline data flow.<br>• Optimize data security and access controls within Snowflake, ensuring compliance with organizational standards.<br>• Participate in data modeling updates, focusing on improving principles, solutions, and methodologies.<br>• Work closely with a small team of data analysts, engineers, and managers to address diverse engineering challenges.<br>• Monitor and enhance data pipeline performance through testing, governance, and continuous delivery.<br>• Provide input on enterprise data architecture strategies, including logical, conceptual, and physical data models.
