Fortress FastLane, Data Quality Analyst
About The Position
The FastLane Data Quality Analyst is an entry-level, full-time role on Fortress’s Customer Success team. The role is designed to develop early-career talent into data and analytics professionals supporting Fortress’s commercial C-SCRM platform. The analyst owns data quality for commercial customers, validating, reconciling, and standardizing customer-provided data to ensure reliable risk insights for enterprise clients protecting critical infrastructure and supply chains. The analyst works closely with Customer Success Managers, Product, and customer stakeholders, supporting customer outcomes across sectors including energy, utilities, and manufacturing. This is a 12-month, full-time temporary role with potential consideration for conversion to permanent employment based on performance. The position is remote.
Requirements
- 0–1 year of experience in data quality, data analysis, cybersecurity, or a related technical field; internship or academic project experience is welcome.
- Proficiency in Microsoft Excel for data analysis and validation.
- Familiarity with or willingness to learn query or scripting tools such as SQL or 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 and attention to detail.
- 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.
Nice To Haves
- 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.
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 and align on requirements.
- Continuously improve documentation and processes for scalable operations.
- Perform other duties as assigned.
Benefits
- Medical, dental, and vision plans, with employees covered up to 90% and progressive options for dependents and families.
- Company-paid life, short-term disability, and long-term disability insurance.
- Employee Assistance Program.
- 401(k) match.
- Flexible Paid Time Off.
- Parental Leave.
- Professional growth opportunities through succession planning, up-skilling, and certifications.
- Tuition and certification reimbursement.
- Employee Referral Programs.
- Company Sponsored Events.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
