<p>Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization.</p><p><br></p><p>The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable.</p><p><br></p><p><strong>This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri).</strong></p><p><br></p><p>Key Responsibilities</p><ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul><p><br></p>
We are looking for an experienced Data Engineer to join our team on a contract basis in Madison, Wisconsin. In this role, you will focus on designing, building, and optimizing robust data pipelines and cloud-based data architectures. This position requires a strong technical background and the ability to work with various data sources, tools, and platforms to drive seamless data integration and transformation.<br><br>Responsibilities:<br>• Design and develop scalable data pipelines to support business needs and analytics.<br>• Utilize Snowflake and cloud-based platforms, such as Azure, to manage and optimize data architecture.<br>• Integrate and customize data ingestion processes for platforms like Shopify, Oracle, and NetSuite.<br>• Collaborate with teams to connect data sources and deliver data-driven solutions for dashboards and AI applications.<br>• Implement and manage ETL processes to ensure data accuracy and reliability.<br>• Work with tools like Apache Spark, Hadoop, and Kafka to process and analyze large datasets.<br>• Develop APIs and custom applications to facilitate seamless data movement and integration.<br>• Leverage AWS services, including AWS Data Pipeline and CloudFormation, to enhance data workflows.<br>• Troubleshoot and resolve data pipeline issues to maintain system efficiency and performance.