Fortress FastLane, Data Quality Analyst

Fortress Information Security is hiring a FastLane Associate, Data Quality Analyst to support data quality for commercial customers using its C-SCRM platform. The role validates, reconciles, and standardizes customer data and works with Customer Success, Product, and customer stakeholders to support onboarding and reliable risk insights.

Responsibilities:

• Validate, reconcile, and standardize customer-provided supplier, product, and vendor data to ensure accuracy and completeness within the C-SCRM platform
• Support customer onboarding by ingesting, normalizing, and baselining new data sources, partnering with Customer Success Managers to meet implementation timelines
• Identify, analyze, and resolve data anomalies and inconsistencies that affect the reliability of customer-facing risk outputs
• Develop and run data validation workflows and queries using Excel, Looker, SQL, or scripting tools to monitor data integrity and detect quality issues
• Track, document, and manage data defects and remediation efforts in Jira, communicating status and resolution to internal teams and customers
• Join customer working sessions and QBR preparation to review data quality, align on requirements, and continuously improve documentation and processes for scalable operations
• Other duties as assigned

Requirements:

• 0–1 year of experience in data quality, data analysis, cybersecurity, or a related technical field (internship or academic project experience welcome)
• Proficiency in Microsoft Excel for data analysis and validation
• Familiarity with or willingness to learn query or scripting tools (e.g., SQL, Python) to analyze and validate datasets
• Experience using Jira or similar ticketing systems, or demonstrated ability to quickly learn workflow tools
• Ability to work in a client-facing or cross-functional environment and communicate data issues clearly to non-technical audiences
• Strong analytical judgment, attention to detail, and ability to work independently with guidance
• Ability to use AI tools through basic prompting for drafting, summarizing, or brainstorming, while applying judgment to AI-generated output
• Coursework or project experience in data analysis, cybersecurity, supply chain, or risk management
• Familiarity with Supply Chain Risk Management (SCRM) or third-party risk concepts
• Experience with data visualization tools such as Looker, Tableau, or Power BI
• Interest in or exposure to commercial critical infrastructure sectors such as energy, utilities, or manufacturing