Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. <br><br><br><br>The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. <br><br><br><br>Key Responsibilities<br><br>Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. <br>Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms.<br>Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. <br>Design, develop, and support operational dashboards and reporting solutions using Power BI. <br>Assist with migration of legacy reporting processes to modern business intelligence platforms. <br>Manage datasets, semantic models, report distributions, and reporting governance processes. <br>Collaborate with business leaders to define reporting requirements and establish data standards. <br>Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. <br>Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness.<br><br><br>Qualifications<br><br>Experience within the Property & Casualty insurance industry is required<br>Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. <br>8+ years of data analytics, data operations, or business intelligence <br>Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. <br>Experience with Microsoft Fabric and Medallion Architecture methodologies.<br>Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements.<br>Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. <br>Experience with Origami and/or DXC Assure Claims is a plus.
<p>We are looking for a strategic Financial Planning & Analysis Manager to support a growing organization. The FP&A Manager will shape core planning and reporting processes, turning financial and operational data into clear guidance for leadership. The role is well suited for someone who can balance detailed analysis with broader business perspective while helping build a scalable FP&A function that supports profitable growth.</p><p><br></p><p>Responsibilities:</p><p>• Direct the companywide budget cycle and produce forward-looking financial plans across the income statement, balance sheet, and cash flow statement.</p><p>• Maintain monthly forecasting models that reflect business performance, operational assumptions, and changing market conditions.</p><p>• Work closely with sales and operations planning partners to align financial outlooks with production, demand, and supply inputs.</p><p>• Provide leadership stakeholders with meaningful analysis, scenario evaluation, and recommendations to support strategic and day-to-day decisions.</p><p>• Create reporting that measures gross margin performance across products and customers to highlight trends and improvement opportunities.</p><p>• Review customer rebate programs and sales commission activity to ensure accurate tracking and insightful performance analysis.</p><p>• Oversee reporting related to capital spending and monitor investment activity against approved plans.</p><p>• Evaluate commodity cost exposure, including copper-related impacts, and summarize potential financial effects for the business.</p><p>• Prepare and update a rolling cash flow view to support liquidity planning and short-term decision-making.</p><p>• Serve as the internal Power BI expert, enhancing dashboards, reporting tools, key performance metrics, and ad hoc financial analysis capabilities.</p>
We are looking for a Business Analyst to support and strengthen business-to-business integration capabilities for a growing organization in Lititz, Pennsylvania. This role focuses on improving connectivity with external partners, supporting marketplace data flows, and helping ensure core integration platforms operate reliably. The ideal candidate will work across technical and business teams to solve issues, identify improvement opportunities, and help deliver integration solutions that support revenue growth and operational efficiency.<br><br>Responsibilities:<br>• Manage and support electronic connections with external trading partners using established integration methods and related technologies.<br>• Maintain and enhance product information distribution across marketplace and syndication channels to support accurate and timely data sharing.<br>• Provide functional and operational support for enterprise applications and middleware that enable B2B data exchange.<br>• Investigate interface failures, resolve issues promptly, and address underlying causes to reduce recurring disruptions.<br>• Gather business needs and help design new partner integrations that align with operational and commercial objectives.<br>• Recommend and implement improvements that increase the stability, scalability, and overall value of integration processes.<br>• Collaborate with sales, marketing, IT, and other stakeholders to align integration priorities with strategic business needs.<br>• Promote current integration standards and best practices to improve consistency, performance, and long-term supportability.<br>• Contribute to multiple initiatives simultaneously, including work involving cloud platform integration and other middleware solutions.
We are looking for a Microsoft Fabric Data & Analytics Program Lead to guide the development of a modern enterprise analytics environment for a financial services organization in Middletown, Pennsylvania. This contract opportunity with permanent potential will lead the rollout of Microsoft Fabric as a trusted reporting and analytics platform while delivering a high-impact initial use case that demonstrates measurable business value. The role combines program leadership, platform architecture, and cross-functional collaboration to create scalable data solutions, strengthen governance, and expand internal capability across business and technology teams.<br><br>Responsibilities:<br>• Shape the overall strategy for Microsoft Fabric, including platform governance, delivery planning, adoption methods, and long-term operating practices.<br>• Partner with leaders across finance, treasury, risk, compliance, operations, product, and technology to identify priority analytics initiatives and organize them into a value-driven roadmap.<br>• Architect and oversee solutions across Fabric capabilities such as OneLake, lakehouses, warehouses, data pipelines, notebooks, semantic models, Power BI, real-time analytics, and AI-enabled experiences.<br>• Direct the integration of data from Azure-based services, SharePoint, Salesforce, operational platforms, application telemetry, and approved identity or access-related sources.<br>• Establish enterprise standards for workspace design, naming conventions, deployment processes, monitoring, lineage tracking, lifecycle administration, backup planning, and disaster recovery readiness.<br>• Work closely with security, legal, IT, risk, and business data owners to enforce appropriate access controls, privacy safeguards, retention requirements, audit support, segregation of duties, and regulatory alignment.<br>• Define data management practices covering ownership, stewardship, quality controls, reconciliation methods, master and reference data usage, and certification criteria for trusted reporting assets.<br>• Lead delivery of the initial Fed Account Management analytics use case, including ingestion, transformation, reporting, dashboard development, analysis, forecasting, alerting, and future machine learning opportunities.<br>• Manage platform performance, licensing, capacity, cost, and usage trends while recommending improvements that optimize efficiency and support sustainable growth.<br>• Produce program documentation and communications such as milestone plans, risk logs, executive updates, training content, runbooks, data dictionaries, and knowledge transfer materials, while reporting on adoption, reliability, quality, and business value metrics.