<p>We are looking for an Enterprise Performance Managmenet Business Analyst to support the design of an enterprise performance management framework within the Operational Excellence function in Charlotte, North Carolina. This Long-term Contract opportunity will focus on shaping measurement standards, process structures, and reporting approaches that help leaders make informed business decisions. The role will work closely with senior stakeholders and cross-functional teams to turn business priorities into practical metrics, insights, and improvement initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine an enterprise-wide performance management structure, including supporting processes, governance methods, and practical tools.</p><p>• Document end-to-end business processes by identifying workflows, ownership, approval points, and operational dependencies across teams.</p><p>• Partner with leadership to develop layered performance measures and ensure consistent definitions, targets, and review practices are applied across the organization.</p><p>• Examine operational and performance data to uncover patterns, gaps, and underlying issues, then recommend actions that improve results.</p><p>• Work with finance, business, and technology partners to align planning activities, forecasting methods, and reporting outputs with organizational objectives.</p><p>• Assess potential platforms and analytical tools, including prototype support, to determine the best fit for enterprise performance management needs.</p><p>• Identify opportunities to use AI and automation to simplify reporting, improve process efficiency, and strengthen decision support.</p><p>• Collaborate with technical teams to clarify data needs, evaluate data integrity, and improve reporting capabilities for stakeholders.</p><p>• Prepare executive-level dashboards, presentations, and recommendations that clearly communicate findings and support leadership decisions.</p><p>• Drive stakeholder engagement and encourage adoption of consistent performance management practices across the business.</p>
We are looking for a Financial Analyst to support business performance through insightful reporting, forecasting, and financial evaluation. This role will partner with cross-functional teams to interpret data, identify trends, and provide recommendations that guide operational and strategic decisions. Based in Charlotte, North Carolina, this opportunity is ideal for someone who is detail oriented and comfortable working with complex data sets and turning analysis into clear business value.<br><br>Responsibilities:<br>• Prepare recurring and ad hoc financial analyses to support planning, budgeting, and business decision-making.<br>• Build and maintain financial models that evaluate performance, forecast results, and assess business opportunities.<br>• Review actual results against budgets and forecasts, investigate variances, and communicate key drivers to stakeholders.<br>• Gather, organize, and interpret large data sets to uncover trends, risks, and opportunities for improvement.<br>• Partner with finance and operational teams to develop reporting that improves visibility into financial performance.<br>• Present analytical findings in a clear and concise manner to support leadership discussions and recommendations.<br>• Assist with process improvements related to reporting accuracy, data quality, and analysis efficiency.
We are looking for a detail-oriented Financial Analyst to join our team in Statesville, North Carolina. In this role, you will play a key part in analyzing financial data, preparing reports, and delivering insights that guide strategic decision-making. If you have a strong aptitude for numbers and a passion for financial modeling, we encourage you to apply.<br><br>Responsibilities:<br>• Conduct in-depth financial analysis to evaluate business performance and identify trends.<br>• Develop and maintain financial models to support forecasting and decision-making processes.<br>• Perform ad hoc financial analyses to address specific business needs and provide actionable insights.<br>• Analyze variances between planned and actual financial outcomes, identifying root causes and areas for improvement.<br>• Utilize data mining techniques to extract and interpret financial data from various sources.<br>• Collaborate with cross-functional teams to provide financial insights and recommendations.<br>• Prepare detailed financial reports and presentations for management.<br>• Ensure accuracy and completeness of financial data by verifying and reconciling discrepancies.<br>• Monitor industry trends and economic conditions to assess their potential impact on financial performance.<br>• Support budgeting and planning activities by providing accurate and timely financial projections.
We are looking for a detail-oriented Financial Analyst to support a long-term contract assignment based in Charlotte, North Carolina. This opportunity is ideal for someone who brings strong investigative thinking, experience reviewing suspicious financial activity, and the ability to organize large data sets with precision. The person in this role will help examine account activity, identify potential risk indicators, and contribute to a focused review initiative requiring accuracy and sound judgment.<br><br>Responsibilities:<br>• Review financial records and account activity to detect unusual patterns, inconsistencies, or potential money laundering concerns.<br>• Conduct investigations into suspicious transactions and document findings clearly for internal review and follow-up.<br>• Analyze fraud-related alerts and supporting information to determine potential exposure and recommend next steps.<br>• Use Excel tools such as pivot tables, lookup functions, and formulas to sort, validate, and interpret large volumes of data.<br>• Perform customer due diligence and assist with KYC and AML-related reviews to support compliance objectives.<br>• Maintain accurate case notes, research outcomes, and supporting documentation in accordance with established procedures.<br>• Collaborate with cross-functional stakeholders to resolve data discrepancies and strengthen the quality of investigative results.