Data Reconciliation Analyst (Remote)
Role Overview
The Data Reconciliation Analyst supports day-to-day reconciliation, validation, maintenance, and improvement of data for ServiceMac's Regulatory team.
The role coordinates with business and data teams to support accurate, complete regulatory reporting through reconciliations, quality reviews, and root-cause analysis.
Key Skills for This Role
Full Job Posting
Role overview
The Data Reconciliation Analyst supports day-to-day reconciliation, validation, maintenance, and improvement of data for ServiceMac's Regulatory team.
The role coordinates with business and data teams to support accurate, complete regulatory reporting through reconciliations, quality reviews, and root-cause analysis.
Responsibilities
- Reconcile data across internal systems, databases, regulatory reports, and source documents.
- Validate data for Mortgage Call Reports, NMLS, state licensing, investor, and other reporting.
- Develop operational, reconciliation, management, and exception reports.
- Investigate discrepancies, identify root causes, and coordinate corrective action with business partners.
- Translate regulatory reporting requirements into reconciliation and validation processes.
- Define data requirements with business units and validate report results.
- Perform data quality reviews, reconciliation testing, and validation to ensure accurate and timely reports.
- Monitor exceptions and recommend process improvements, automation, and enhanced controls.
- Maintain procedures, data dictionaries, and supporting documentation.
- Test reporting changes and support examinations, audits, due diligence requests, and management inquiries.
- Use Excel, Power BI, and other tools to analyze datasets, identify trends, and develop management reporting.
- Coordinate responses to client or third-party reporting questions.
Qualifications
- Three to five years of recent data reconciliation, regulatory reporting, financial reporting, or data analysis experience in banking, mortgage servicing, or financial services.
- Advanced Microsoft Office proficiency, including expert Excel skills in PivotTables, XLOOKUP, Power Query, and advanced formulas.
- Experience reconciling reports and analyzing large datasets.
- Proficiency in prompt engineering and generative AI tools such as ChatGPT or Claude for reporting or reconciliations.
- Ability to research, analyze, and resolve complex data discrepancies.
- Strong analytical, organizational, and problem-solving skills with attention to detail.
- Excellent verbal and written communication skills for internal and external stakeholders.
- Power BI, SharePoint, and Power Automate experience is also listed; the available description is truncated after this qualification.
Relevant tools and domains
- The description identifies Excel, Power BI, and other reporting tools for data analysis and management reporting.
- The role involves SQL reporting, generative AI tools, financial services, mortgage servicing, and regulatory reporting.
Work arrangement
- The source title explicitly identifies the role as remote.
Compensation
- The provided salary is USD 16–24 per hour.
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