We are seeking a
Data Validation & Reporting Analyst to support a major platform modernization and transition effort. This role will be responsible for validating and reconciling data across legacy systems and a new platform, analyzing discrepancies, supporting reporting accuracy, and developing operational dashboards and metrics for leadership visibility.
The ideal candidate brings strong SQL skills, hands-on experience with reporting or BI tools, and a solid understanding of data quality, reconciliation, and operational analytics. This person will partner closely with business stakeholders and MIS teams to support UAT, transition readiness, reporting validation, and ad-hoc analysis in a fast-paced, client-facing environment.
This is a hybrid role based in the DC/DMV area, with two days on-site each week at the client office in Arlington, VA. The role is well-suited for someone who enjoys solving data problems, building useful reports, and playing a hands-on role in ensuring a successful platform transition.
What you will do: Validate & Reconcile Data Across Platforms- Coordinate validation activities between legacy systems and the new platform during parallel operations and transition periods
• Analyze discrepancies, data quality issues, and reporting inconsistencies, and support root-cause analysis and resolution coordination
• Support report validation and reconciliation to ensure alignment between legacy outputs and the new platform's reporting
• Maintain the Data Validation & Reconciliation Log and supporting validation documentation
Build Reporting & Operational Analytics- Develop and maintain dashboards, operational reporting, and performance visibility metrics that support operational leadership
- Deliver the Operational Dashboard Framework and recurring Monthly Operational Status Metrics summaries
- Analyze operational metrics, issue trends, and process visibility to surface insights for stakeholders
Support Testing, Readiness & Transition- Support user acceptance testing (UAT), validation coordination, and operational readiness activities
• Support legacy decommissioning by validating reports, operational processes, and platform outputs
• Contribute to transition readiness tracking and to the Final Operational Analytics & Validation Summary
Collaborate Cross-Functionally- Partner with business stakeholders and MIS teams to translate reporting, analytics, and operational requirements into actionable work items
• Support change-request analysis and operational-impact assessments for defects, enhancements, and reporting changes
• Respond to ad hoc analytical and reporting requests with urgency and accuracy in a dynamic operational environment
Document & Support Users- Support knowledge management, operational documentation, and user support activities associated with platform stabilization and transition
- Help keep operational reference materials and process documentation current as changes are implemented
Qualifications- U.S. citizenship is required. Must be eligible to obtain and maintain a Public Trust clearance.
• Located in the DC/DMV area and able to work a hybrid schedule with two on-site days (Tuesdays & Wednesdays) at the client office - Arlington, VA
• 3-5 years of experience in data analytics, data validation, reporting, or business intelligence
• Strong, hands-on SQL skills for querying, validation, and reconciliation
• Experience with SAS is strongly preferred; demonstrated proficiency in a comparable analytics/programming language (e.g., Python, R) will be considered
• Demonstrated experience building dashboards and operational reports, with hands-on experience in a BI/visualization tool
• Experience with data validation, reconciliation, and data quality analysis
• Consulting or client-facing experience, with comfort operating in a fast-paced environment with frequent ad hoc requests
• Excellent problem-solving, analytical, and communication skills
• Ability to thrive in a fast-paced, collaborative environment
• A bachelor's degree in a related field is strongly preferred; relevant hands-on experience is given significant weight
Preferred Qualifications: - Hands-on experience with SAS (SAS Viya, SAS Visual Analytics, or SAS programming)
• Experience with Power BI, Tableau, or similar BI and visualization platforms
• Experience supporting system migrations, parallel operations, or platform cutover activities
• Familiarity with operational governance, UAT, or change management processes
• Experience with data reconciliation tools and large-volume data environments
Why This RoleThis is a chance to do work that matters on a modernization effort where your analysis directly shapes whether a platform transition succeeds. You'll have real ownership over validation and reporting, direct visibility with operational leadership, and the variety that comes with a consulting environment-no two weeks look the same.
Benefits:- Competitive salary and performance-based bonuses
- Comprehensive health plans to choose from. FREE dental & FREE vision plans
- Flexible work hours and hybrid work options
- Unlimited PTO and company holidays
- Collaborative and inclusive work environment with a diverse team
What to Expect:
Step 1 - Apply. It only takes a few minutes!
Step 2 - HR Phone Screen. If your application is a good match, you'll hear from one of our recruiters about setting up a phone screen.
Step 3 - Interview(s). Now's your chance to learn about the job, show us who you are, share why you would be a great addition to the team, and determine if Lenders is the place for you.
Step 4: Decision. The team will discuss - if it's a good fit for us and you, we'll make it official!
Candidates selected for a conditional offer of employment will be subject to a background check. A criminal conviction does not automatically disqualify a candidate from consideration; results are evaluated in accordance with applicable laws and job relevance.
If you're ready to take your career to the next level and be part of a team that values creativity and innovation, apply now! We can't wait to meet you and see how you'll contribute to our success.
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