The Role
Provide day-to-day support for data operations: triage and resolve ServiceNow data tickets, investigate discrepancies, validate data, monitor pipelines, assist Data Engineering with operational ETL tasks, SFTP workflows, and documentation, and coordinate with business teams to ensure data quality and timely issue resolution.
Summary Generated by Built In
We are seeking a Data Support Analyst to support day-to-day data operations across our enterprise data environment. This role is ideal for a technically skilled professional with experience troubleshooting data issues, supporting business users, and collaborating with data engineering teams.
The primary focus of this role is managing and resolving data-related tickets, including investigating discrepancies, validating data, and coordinating resolutions with business and technical teams. In addition, the analyst will provide ad-hoc support to the Data Engineering team by assisting with pipeline monitoring, data validation, file transfers, and operational tasks across our Azure-based data platform.
Hybrid Work Environment: This role can be based in our Washington, DC or Bloomington, MN office. We believe collaboration drives innovation, so team members work together in the office four days per week, with one day each week working remotely.
Responsibilities and Duties:
Data Ticket Support
- Serve as the primary point of contact for data-related incidents, requests, and inquiries submitted through ServiceNow.
- Investigate and resolve data discrepancies, missing records, reporting issues, and other operational data problems.
- Work directly with business users to gather requirements, clarify issues, and communicate resolution status.
- Document troubleshooting steps, resolutions, and recurring issue patterns to improve support processes and knowledge sharing.
- Escalate complex issues to the Data Engineering team when root cause analysis indicates a pipeline, integration, or platform-level problem.
Data Operations & Quality Support
- Perform routine data validation and quality checks to ensure accuracy, completeness, and consistency across key business datasets.
- Assist in identifying recurring data quality issues and recommend process improvements or upstream controls.
- Support monitoring of scheduled data loads and notify the appropriate teams of failures or anomalies.
- Help maintain operational documentation, runbooks, and support procedures for common data issues.
Ad-Hoc Data Engineering Support
- Assist the Data Engineering team with operational tasks such as validating data loads, reviewing pipeline outputs, and troubleshooting minor ETL issues.
- Support secure file transfer (SFTP) processes and vendor data delivery workflows.
- Help test and validate changes to data pipelines, reports, and integrations before deployment.
- Participate in ad-hoc projects related to data cleanup, reporting support, and process automation.
- Collaborate with engineers and analysts to ensure timely resolution of data-related production issues.
Collaboration & Communication
- Act as a liaison between business teams, IT support, analytics, and data engineering.
- Translate business data into actionable technical investigations.
- Provide clear, professional communication regarding ticket status, findings, and next steps.
- Contribute to continuous improvement efforts for data support workflows and service delivery.
Education and Experience:
- Bachelor’s degree in Information Systems, Computer Science, Business Analytics, or a related field preferred.
- Equivalent combination of experience, coursework, or technical certifications may be considered in lieu of a degree.
- 2–5 years of experience in data support, business systems support, reporting support, or a related technical role.
- Experience working with ticketing systems such as ServiceNow strongly preferred.
Required Technical Skills
- Strong SQL skills for querying, validating, and troubleshooting data issues.
- Experience with ServiceNow incident/request management workflows.
- Familiarity with relational databases such as SQL Server.
- Understanding of ETL/data pipeline concepts and enterprise data flows.
- Proficiency with Microsoft Excel and basic data analysis techniques.
- Strong troubleshooting and problem-solving skills
Preferred Skills
- Exposure to Azure Data Factory (ADF) and/or Databricks.
- Experience with SFTP processes and file-based data exchanges.
- Basic knowledge of Python or scripting for automation and data validation.
- Experience supporting reporting or business intelligence environments.
- Familiarity with data quality and monitoring practices.
Key Competencies:
- Data Analysis & Troubleshooting: Investigates data discrepancies, identifies root causes, and resolves data-related issues with accuracy and efficiency.
- SQL & Data Validation: Utilizes SQL and data validation techniques to ensure data integrity, accuracy, and consistency across enterprise systems.
- Technical Support & Service Management: Provides responsive support through ServiceNow, managing incidents and requests while delivering excellent customer service.
- Data Operations & Quality Management: Monitors data pipelines, validates data loads, and supports ongoing data quality and operational reliability.
- Cross Functional Collaboration: Partners effectively with business users, Data Engineering, IT, and Analytics teams to resolve issues and improve data processes.
- Process Improvement & Documentation: Maintains support documentation, identifies recurring issues, and recommends process enhancements that improve efficiency and service delivery.
How This Role Demonstrates Our Values:
- Integrity: Ensures the accuracy, reliability, and security of enterprise data while following established support and governance practices.
- Collaboration: Works closely with business partners, Data Engineering, IT, and Analytics teams to resolve issues and support business operations.
- Excellence: Delivers timely, high quality data support, maintains strong service levels, and contributes to reliable data operations.
- Critical Curiosity: Investigates root causes, identifies opportunities for automation and process improvement, and continuously expands technical knowledge to enhance data support capabilities.
Benefits
- Competitive compensation package, including base salary and performance-based bonus opportunities
- 401(k) plan with 100% company match up to 4%
- Comprehensive health coverage: medical, dental, vision, HSA, and FSA options
- Generous paid time off: 20 days PTO, company holidays, and sick time
- Paid parental leave
- Company-paid life insurance and disability coverage
- Employee Assistance Program (EAP): mental health, financial, and wellness support
- Professional development: tuition reimbursement and growth opportunities
- Commuter and transit benefits
Successful applicants will exemplify strong ethics, integrity, respect for others, accountability for decisions and actions, and good citizenship.
Maintaining a reliable, uninterrupted high speed internet connection is a requirement of hybrid or remote positions.
All job duties and responsibilities must be performed within the guidelines of the Verus Residential Mortgage Employee Handbook and established company policies and procedures. It is the responsibility of each employee to maintain confidentiality of the company, its clients and to follow applicable laws and regulations in the performance of duties.
Verus Mortgage Capital is an equal opportunity employer. All qualified applicants are welcomed to apply and will receive consideration for employment without unlawful discrimination because of a person’s race, religious creed, color, national origin, citizenship status, ancestry, marital status, sex, age, or sexual orientation, or because of a person’s disability or medical condition.
About
Invictus Capital Partners, LP (“Invictus”), a leading investment firm, and its subsidiary Verus Residential Loanco, LLC (“Verus,” and together with Invictus, the “Companies”), manage and oversee investments in Non-Agency single family residential mortgage loans. Invictus is located in Washington, D.C. and has approximately 50 employees, and Verus is located in Minneapolis and has approximately 200 employees. The Companies have overseen the acquisition of over $38 billion of mortgage loans since their inception. In addition, Invictus manages over $19 billion in gross assets and has completed over 70 rated securitizations. Interested candidates can learn more about the Companies by visiting www.invictuscp.com and www.verusmc.com.
Skills Required
- 2-5 years of experience in data support, business systems support, reporting support, or related technical role
- Strong SQL skills for querying, validating, and troubleshooting data issues
- Experience with ServiceNow incident/request management workflows
- Familiarity with relational databases such as SQL Server
- Understanding of ETL/data pipeline concepts and enterprise data flows
- Proficiency with Microsoft Excel and basic data analysis techniques
- Strong troubleshooting and problem-solving skills
- Bachelor's degree in Information Systems, Computer Science, Business Analytics, or related field (or equivalent experience/certifications)
- Exposure to Azure Data Factory (ADF) and/or Databricks
- Experience with SFTP processes and file-based data exchanges
- Basic knowledge of Python or scripting for automation and data validation
- Experience supporting reporting or business intelligence environments
- Familiarity with data quality and monitoring practices
- Maintain a reliable, uninterrupted high-speed internet connection for hybrid/remote work
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Invictus Capital Partners is a real estate credit focused alternative asset manager and investment management firm, established in 2008, specializing in opportunistic credit strategies and managing portfolios of real estate debt securities and loans.
