<p>We are seeking an experienced <strong>ERP Business Systems Analyst</strong> to support, optimize, and enhance our enterprise resource planning (ERP) environment. This role serves as the bridge between business stakeholders and technology teams, ensuring ERP processes align with operational goals across finance, supply chain, manufacturing, inventory, and customer service functions.</p><p>The ideal candidate has a strong understanding of ERP platforms, business processes, data analysis, system integrations, and user support.</p><p><br></p><p>Key Responsibilities</p><ul><li>Partner with business leaders to gather, analyze, and document ERP requirements.</li><li>Configure, support, and optimize ERP modules and workflows.</li><li>Troubleshoot ERP issues and coordinate resolutions with internal teams and vendors.</li><li>Analyze business processes and recommend system improvements to increase efficiency.</li><li>Support ERP upgrades, implementations, and enhancement projects.</li><li>Create and maintain reports, dashboards, and KPIs using ERP and reporting tools.</li><li>Develop and manage integrations between ERP systems and third-party applications.</li><li>Conduct user training and provide ongoing ERP support.</li><li>Maintain system documentation, process maps, and training materials.</li><li>Work closely with Finance, Operations, Manufacturing, Procurement, and Distribution teams.</li></ul>
<p>We are seeking a <strong>Senior IT Business Analyst</strong> to support enterprise-wide ERP initiatives and business transformation projects. This individual will serve as the bridge between business stakeholders and technical teams, gathering requirements, analyzing business processes, and driving successful ERP implementations and enhancements.</p><p>Responsibilities</p><ul><li>Partner with business leaders to gather, document, and prioritize requirements</li><li>Lead requirements workshops, stakeholder interviews, and process-mapping sessions</li><li>Analyze current-state and future-state business processes</li><li>Support ERP implementation, upgrade, integration, and optimization projects</li><li>Develop functional specifications, user stories, workflow diagrams, and process documentation</li><li>Collaborate with developers, ERP consultants, project managers, and business users</li><li>Facilitate User Acceptance Testing (UAT), training, and change management activities</li><li>Identify process improvement opportunities and recommend best practices</li><li>Assist with data migration, reporting, and system integration initiatives</li><li>Track project risks, issues, and dependencies throughout the project lifecycle</li></ul><p><br></p>
<p>The Cybersecurity Analyst will help protect enterprise systems and data through monitoring, threat detection, and incident response activities.</p><p>Responsibilities</p><ul><li>Monitor SIEM and security monitoring tools</li><li>Investigate and respond to security incidents</li><li>Perform vulnerability assessments</li><li>Support security awareness initiatives</li><li>Assist with compliance and audit efforts</li></ul><p><br></p>
We are looking for a Data Scientist to join our team in Jacksonville, Florida, and deliver advanced analytics solutions that support decision-making in a financial services environment. In this role, you will transform complex data into scalable models, actionable insights, and clear visual narratives for business and technical partners. The ideal candidate brings strong experience across machine learning, big data platforms, and model deployment, along with the ability to turn exploratory concepts into production-ready solutions.<br><br>Responsibilities:<br>• Build, validate, and implement machine learning and predictive analytics solutions that address business needs within banking, payments, or financial services use cases.<br>• Prepare and refine large, complex datasets by performing data cleaning, transformation, and feature development to improve model performance and reliability.<br>• Develop analytical models using statistical and machine learning techniques such as classification, clustering, ensemble methods, and other predictive approaches.<br>• Work with big data tools and distributed processing frameworks to analyze high-volume datasets efficiently and support scalable model development.<br>• Create dashboards, visual reports, and data stories that communicate findings and recommendations to both technical teams and business stakeholders.<br>• Use Databricks capabilities such as collaborative notebooks, experiment tracking, model management, and automated workflows to support end-to-end model development.<br>• Design proof-of-concept initiatives that explore new opportunities, assess business value, and guide the expansion of successful solutions into broader use.<br>• Apply natural language processing methods where appropriate to extract insight from unstructured information and solve business problems.<br>• Partner with cross-functional teams to deploy, monitor, and maintain production-ready models in alignment with governance and operational expectations.
<p>Our client is seeking a Business Intelligence Developer to build dashboards, develop reporting solutions, and support enterprise analytics initiatives. This position will partner with leadership to provide meaningful insights that drive business decisions.</p><p>Responsibilities</p><ul><li>Design and develop Power BI dashboards and reports.</li><li>Create and optimize SQL queries and data models.</li><li>Gather reporting requirements from business stakeholders.</li><li>Build KPIs, scorecards, and executive dashboards.</li><li>Ensure data accuracy and reporting consistency.</li><li>Support self-service analytics and data governance efforts.</li></ul><p><br></p>
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.