Junior Data Operations Analyst

SAICAlexandria, VA
Onsite

About The Position

SAIC is seeking a Junior Data Operations Analyst to join our team in Alexandria, Virginia. This role involves monitoring and supporting data pipelines, ensuring data freshness and quality, and assisting with data governance tasks. The analyst will work with tools like Azure Data Factory and Azure Event Hubs, and gain experience in cloud environments and data management within the defense readiness domain.

Requirements

  • Bachelors and two (2) years or more experience; Masters and zero (0) years or more related experience; four (4) years of experience considered in lieu of degree.
  • Prior direct operational experience with the Defense Readiness Reporting System (DRRS) or Service-specific variants is highly prioritized.
  • Strong foundational understanding of how military units calculate and submit readiness data (such as Personnel, Equipment, and Unit Readiness metrics).
  • Foundational understanding of how data moves between systems (ETL/ELT concepts, databases, or basic SQL).
  • Basic awareness of cloud computing environments (experience with or academic exposure to the Microsoft Azure ecosystem is a plus).
  • Strong logical thinking and troubleshooting skills, with a keen interest in learning enterprise-level data pipeline monitoring tools (Azure Data Factory, Azure Log Analytics).
  • Clear written and verbal communication skills, with the ability to document technical issues systematically and collaborate effectively with a multi-disciplinary team.
  • Prior experience utilizing DRRS at the unit, command, or Service level, Direct operational familiarity with the Defense Readiness Reporting System - Army (DRRS-A), the Navy Readiness Reporting Enterprise (NRRE), or related readiness systems during military service or previous contracting work.
  • Active Secret security clearance required.

Nice To Haves

  • Experience with Azure Data Factory
  • Experience with Azure Event Hubs
  • Experience with Azure Log Analytics
  • Experience with Microsoft Azure ecosystem

Responsibilities

  • Monitor Azure Data Factory (ADF) pipeline execution status and Azure Event Hubs streaming health daily, noting and logging any interruptions or anomalies.
  • Assist in documenting pipeline failures, collecting error logs, and executing initial, basic troubleshooting steps under the guidance of senior team members.
  • Ensure all technical incidents, root causes, and corrective actions are thoroughly documented in the team's operations log.
  • Support engineers in maintaining data connectors to external source systems.
  • Assist in mapping and documenting data flows from emerging source systems to support the onboarding of new data streams.
  • Participate in learning and assisting with the migration of direct-to-Service data feeds over to consolidated Advana/WDP hosted sources.
  • Daily monitor the data freshness to verify that all integrated readiness data sources are updating within expected intervals.
  • Flag overdue data sources, initiate basic diagnostic checks, and escalate persistent freshness bottlenecks to senior analysts for resolution.
  • Help track and compile reporting-cycle latency metrics to ensure the team meets critical readiness reporting windows.
  • Conduct daily routine reviews of source and domain-specific data quality scores, flagging any downward trends or quality anomalies.
  • Support the daily management of the records queue, identifying records flagged for quality issues and preparing draft notifications for the Data Operations Manager to review.
  • Assist in gathering and organizing weekly quality metrics to support the production of the monthly Data Quality Trend Report.
  • Assist in updating the DRRS metadata catalog within established timelines when system-wide schema modifications occur.
  • Support monthly data lineage validations by reviewing data flow paths and verifying that origin and transformation logs are accurate.
  • Assist in organizing and maintaining the DRRS Business Glossary, ensuring data definitions are kept up to date across quarterly reviews.
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