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.

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.

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. 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.