Data Analytics Lead-Residential Loan Servicing

Join a Company Where Leadership Makes a Difference At ISN, we believe our people are the driving force behind our success. For more than 45 years, we've partnered with over 150 federal agencies to deliver innovative, mission-critical solutions that strengthen government mission and serve the public. Recognized over 25 times by the Washington Business Journal as one of the 50 Fastest Growing Government Contractors and by the Inc. 5000 as one of the Fastest Growing Private Companies, ISN continues to grow through exceptional service, innovation, and a commitment to excellence. We have earned more than 100 commendation letters from our customers recognizing our commitment to exceptional quality, timely delivery, and unwavering integrity. We take pride in our role as a trusted government partner, delivering innovative solutions that benefit society, strengthen national security, and support mission-critical operations. At ISN, you'll find more than a career—you'll find an opportunity to influence strategy, lead high-performing teams, and help shape the future of government. We foster a collaborative, entrepreneurial culture where leaders are empowered to solve complex challenges, build strong customer partnerships, and create lasting impact. If you're passionate about leading people, delivering operational excellence, and driving strategic growth across federal programs, we'd love to hear from you. Why You'll Love Working at ISN We believe great leaders deserve great support. Our comprehensive benefits package includes: • Comprehensive Medical Coverage with Prescription Benefits • Dental Insurance • Flexible Spending Accounts (FSA) • Company-Paid Short-Term & Long-Term Disability • Company-Paid Basic Life Insurance • 401(k) Retirement Plan • Paid Time Off beginning on your first day of employment • Professional growth and leadership development opportunities ISN Corp. is seeking an experienced Data Analytics Lead to support a federal agency’s Residential Loan Servicing Program. The Data Analytics Lead will serve as a key analytical resource responsible for transforming operational and portfolio data into actionable insights that support program performance, strategic decision-making, and continuous improvement. The position will oversee the full lifecycle of analytics activities, including data collection, validation, quality assurance, analysis, reporting, visualization, and presentation of findings to program leadership and stakeholders. The Data Analytics Lead will develop and maintain dashboards, analytical models, performance reports, and other business intelligence products used to monitor portfolio performance, identify trends, forecast outcomes, and evaluate operational effectiveness. Key responsibilities include: • Lead data analytics and business intelligence activities supporting residential loan servicing operations. • Collect, validate, organize, and analyze large and complex datasets. • Develop dashboards, reports, and analytical tools to monitor program performance. • Identify trends, anomalies, risks, and opportunities through quantitative analysis. • Develop analytical frameworks and methodologies to support operational decision-making. • Perform data quality assurance and identify discrepancies or data integrity issues. • Translate complex analytical findings into clear recommendations for leadership. • Support forecasting, performance measurement, and strategic planning. • Collaborate with operational and technical teams to identify analytical requirements. • Present analytical findings to both technical and non-technical audiences. Minimum Qualifications: • Minimum of 5 years of experience in data analytics, business intelligence, or a related field. • Experience developing analytical models, dashboards, reporting tools, and performance metrics. • Strong understanding of analytical and statistical methodologies. • Experience working with large and complex datasets. • Strong critical-thinking and problem-solving skills. • Ability to communicate complex data and analytical findings to executive and non-technical audiences. • Strong attention to detail and ability to manage multiple priorities in a dynamic environment.