We are looking for a skilled Database Developer to join our team in Dublin, Ohio. In this long-term contract position, you will play a pivotal role in developing, configuring, and optimizing Varicent systems to support incentive models, reporting, and data workflows. This is an excellent opportunity for someone with strong attention to detail to contribute to cutting-edge compensation operations.<br><br>Responsibilities:<br>• Design, build, and test calculation logic and data stores for incentive models within Varicent systems.<br>• Configure and maintain workflows, crediting rules, quotas, payout logic, and model updates to ensure seamless operation.<br>• Develop and optimize Presenter Adaptive Reports to deliver dashboards, payout summaries, audit views, and analytics.<br>• Implement and refine data validation routines and import processes to ensure accuracy and compliance.<br>• Create dynamic and interactive reports to visualize metrics related to compensation plans, performance, and payouts.<br>• Conduct regression testing, data validation, and audits to maintain model accuracy and reliability.<br>• Troubleshoot discrepancies and anomalies in payouts, workflows, and other operational processes.<br>• Utilize Varicent Web Admin tools to administer workflows, configure model settings, and support user interactions.<br>• Stay up-to-date on Varicent updates, adopting new features and best practices to improve processes.<br>• Identify opportunities for automation and optimization to enhance compensation operations.
<p>We are looking for an experienced System Administrator to oversee the seamless operation and maintenance of our organization's computer systems and networks. This role involves managing the infrastructure to support business objectives, ensuring compliance with industry standards, and delivering exceptional customer service. Requires hands-on expertise in system configuration, troubleshooting, and optimization.</p><p><br></p><p>Responsibilities:</p><p>• Monitor daily system and network operations to ensure security, reliability, and high performance, including providing on-call support for 24/7 operations.</p><p>• Implement, maintain, and optimize local and wide area networks to meet organizational needs.</p><p>• Configure, troubleshoot, and repair network hardware such as routers, switches, hubs, and UPS devices.</p><p>• Address and resolve network access issues and ensure uninterrupted connectivity.</p><p>• Perform system upgrades, improvements, and regular maintenance to enhance efficiency.</p><p>• Set up and manage servers, including configuration and integration into the network.</p><p>• Administer end-user accounts, permissions, and access controls to ensure secure operations.</p><p>• Conduct regular system backups and recovery processes to safeguard organizational data.</p><p>• Collaborate with other IT staff and provide backup support as needed for seamless operations.</p>
<p>We are looking for an experienced Data Engineer to join our team on a contract basis in Columbus, Ohio. In this role, you will take on a leadership position, driving the development and optimization of data pipelines that support enterprise-wide analytics and decision-making. You will also play a key role in mentoring team members, fostering collaboration, and ensuring the integrity and quality of data across various business functions.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain efficient data pipelines to support enterprise analytics and reporting.</p><p>• Collaborate with business analysts and data science teams to refine data requirements and ensure alignment with organizational goals.</p><p>• Enhance and automate data integration and management processes to improve operational efficiency.</p><p>• Lead efforts to ensure data quality by testing for accuracy, consistency, and conformity to business rules.</p><p>• Provide training and guidance to team members and other stakeholders on data pipelining and preparation techniques.</p><p>• Partner with data governance teams to promote vetted content into the curated data catalog for reuse.</p><p>• Stay updated on emerging technologies and assess their impact on current systems and processes.</p><p>• Offer leadership, coaching, and mentorship to team members, encouraging attention to detail in their development.</p><p>• Work closely with stakeholders to understand business needs and ensure solutions meet those requirements.</p><p>• Perform additional duties as assigned to support organizational objectives.</p>
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals.<br><br>Responsibilities:<br>• Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems.<br>• Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability.<br>• Collaborate with various teams to align data structures and solutions with organizational objectives.<br>• Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices.<br>• Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions.<br>• Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs.<br>• Review and validate data workflows, transformations, and reports to ensure completeness and accuracy.<br>• Identify and implement system improvements to enhance the functionality and efficiency of data platforms.<br>• Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime.<br>• Mentor team members and provide technical guidance to build a highly skilled and capable team.
We are looking for a detail-oriented Payroll Administrator to join our team in Columbus, Ohio. In this role, you will manage payroll processes for both hourly and salaried employees, ensuring accuracy and compliance with multi-state regulations. This position offers an excellent opportunity to contribute to the efficient operation of payroll and HR functions within the organization.<br><br>Responsibilities:<br>• Process payroll for hourly and salaried employees, ensuring accuracy and timeliness.<br>• Manage multi-state payroll operations in compliance with local regulations.<br>• Maintain and update payroll records, including employee benefits and deductions.<br>• Reconcile payroll-related accounts and ensure alignment with the general ledger.<br>• Utilize UKG Pro to streamline payroll processes and reporting.<br>• Address payroll inquiries and provide clear communication to employees regarding payroll matters.<br>• Collaborate with HR to align payroll processes with employee benefits and organizational policies.<br>• Conduct regular audits to identify and resolve discrepancies in payroll data.<br>• Prepare and submit payroll reports to management and relevant authorities as required.<br>• Stay informed about changes in payroll laws and regulations to ensure compliance.
<p>Overview</p><p>We are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data‑driven models, conducting large‑scale experimentation, and influencing business decisions through actionable insights.</p><p>The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting‑edge analytics techniques to real‑world business challenges.</p><p><br></p><p>Key Responsibilities</p><ul><li>Apply advanced analytics methods to extract value from structured and unstructured business data</li><li>Design and execute large‑scale experiments and develop data‑driven models to answer complex business questions</li><li>Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define requirements used to train, evaluate, and evolve predictive and deep learning models</li><li>Analyze results and present data‑based recommendations to product, business, and technical teams</li><li>Influence decision‑making through clear, compelling data storytelling and insights</li><li>Support ongoing analytics initiatives and perform additional duties as assigned</li></ul>