Fortress FastLane, Data Quality Analyst
Role Overview
The entry-level, full-time role is part of the Customer Success team and is designed to develop early-career talent in data and analytics for Fortress's commercial C-SCRM platform.
The analyst owns customer data quality and works with Customer Success Managers, Product, and customer stakeholders to support reliable risk insights for enterprise clients.
The position is a 12-month full-time temporary role with potential consideration for conversion to permanent employment based on performance.
Key Skills for This Role
Full Job Posting
Role overview
The entry-level, full-time role is part of the Customer Success team and is designed to develop early-career talent in data and analytics for Fortress's commercial C-SCRM platform.
The analyst owns customer data quality and works with Customer Success Managers, Product, and customer stakeholders to support reliable risk insights for enterprise clients.
The position is a 12-month full-time temporary role with potential consideration for conversion to permanent employment based on performance.
Location
- The role is remote.
Compensation
- The posting lists compensation as $70,000 without specifying a pay period.
Responsibilities
- Validate, reconcile, and standardize customer-provided supplier, product, and vendor data in the C-SCRM platform.
- Support onboarding by ingesting, normalizing, and baselining new data sources with Customer Success Managers to meet implementation timelines.
- Identify, analyze, and resolve anomalies affecting the reliability of customer-facing risk outputs.
- Develop and run validation workflows and queries using Excel, Looker, SQL, or scripting tools to monitor data integrity.
- Track and document data defects and remediation in Jira, communicating status and resolutions to internal teams and customers.
- Join customer working sessions and quarterly business review preparation to review data quality, align on requirements, and improve scalable documentation and processes.
Minimum qualifications
- 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.
- Experience using Jira or similar ticketing systems, or ability to learn workflow tools quickly.
- Ability to communicate data issues clearly in client-facing or cross-functional settings, including to nontechnical audiences.
- Strong analytical judgment and attention to detail; able to work independently with guidance.
- Able to use AI tools for drafting, summarizing, or brainstorming while applying judgment to generated output.
Preferred skills
- Coursework or project experience in data analysis, cybersecurity, supply chain, or risk management.
- Familiarity with Supply Chain Risk Management 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.
Benefits and perks
- Benefits include medical, dental, and vision plans, company-paid life and disability insurance, an Employee Assistance Program, 401(k) match, flexible paid time off, and parental leave.
- Professional growth opportunities include upskilling, certifications, tuition and certification reimbursement, employee referral programs, and company-sponsored events.
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