We are looking for a detail-oriented Regulatory Analyst to join our team in Columbus, Ohio. In this role, you will be responsible for analyzing and managing data related to regulatory filings and financial records. The ideal candidate will have a strong background in financial analysis and a keen ability to interpret regulatory requirements.<br><br>Responsibilities:<br>• Compile, analyze, and format data for regulatory filings, including cost recovery reports and base rate cases.<br>• Interpret rate structures and oversee the implementation of billing adjustments.<br>• Collaborate with cross-functional teams to address regulatory needs and ensure compliance.<br>• Maintain and update financial records with accuracy and attention to detail.<br>• Monitor state-level projects and customer service concerns to align with regulatory standards.<br>• Facilitate effective communication of information among team members and stakeholders.<br>• Adopt new technologies and processes to enhance operational efficiency.<br>• Conduct internal control testing to ensure adherence to organizational standards.<br>• Perform tasks and responsibilities with guidance and supervision.
We are looking for a highly skilled Data Engineer to join our Decision Engine Team in Columbus, Ohio. This position focuses on developing and optimizing real-time customer engagement strategies by leveraging advanced data engineering techniques. As part of a collaborative team, you will play a critical role in creating and maintaining the infrastructure necessary to deliver personalized, data-driven messages across various customer channels. This is a long-term contract position offering the opportunity to work on cutting-edge technology and impactful projects.<br><br>Responsibilities:<br>• Develop, implement, and manage scalable data pipelines that support real-time decision-making and marketing initiatives.<br>• Collaborate with marketing, analytics, IT, and modeling teams to ensure seamless execution of customer messaging strategies across multiple channels.<br>• Conduct thorough testing and validation to ensure data accuracy, integrity, and reliability.<br>• Enhance and integrate decision engine platforms, including tools such as Adobe Campaign, Salesforce, and Unica Interact.<br>• Automate workflows and reporting processes using technologies like Python, Tableau, or cloud-based tools.<br>• Troubleshoot and resolve data-related issues in production environments to maintain system efficiency.<br>• Participate in the deployment of new features and upgrades to the decision engine software.<br>• Manage and catalog curated data assets to facilitate enterprise-wide reuse and governance.<br>• Provide guidance on best practices for data testing, quality assurance, and pipeline optimization.
We are looking for a Senior Data Architect to join our team on a long-term contract basis in Marysville, Ohio. In this role, you will design and maintain advanced data solutions to support analytics and business intelligence initiatives within the automotive industry. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to the optimization of data systems and processes.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using cloud-based services such as Glue, S3, and Redshift.<br>• Build and orchestrate workflows with tools like Step Functions, EventBridge, and Lambda.<br>• Develop and integrate CI/CD pipelines using GitHub and other DevOps tools for automated deployments.<br>• Create conceptual, logical, and physical data models tailored for both operational and analytical systems.<br>• Optimize database queries, normalize datasets, and apply performance tuning strategies.<br>• Utilize Python and PySpark for data transformation, automation, and engineering tasks.<br>• Monitor and assess pipeline performance using tools like CloudWatch and Glue job logs.<br>• Troubleshoot and resolve issues related to data quality, system performance, and compliance.<br>• Implement metadata management practices and audit trails to ensure adherence to governance standards.<br>• Collaborate with cross-functional teams and stakeholders to align data architecture with business goals.
