Remote Data Quality Analyst – Entry Level

Fortress; Orlando (FL); Hybrid; USD 63,000 - 77,000; Full time

Benefits offered by this job

Competitive pay structure

Medical, dental, vision plans

401(k) match

Tuition and certification reimburse

Professional growth opportunities

Employee referral programs

Job summary

Fortress is hiring a FastLane Data Quality Analyst to join the Customer Success team. This entry-level, full-time role focuses on validating and standardizing customer data for Fortress's C‑SCRM platform, starting from day one.

You will collaborate with cross-functional peers to ensure data accuracy and reliable risk outputs for enterprise clients. The 12-month term offers a pipeline to permanent employment, with potential conversion based on performance.

Qualifications

• 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

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

Skills

Microsoft Excel

SQL

Python basics

Jira

Data analysis

Attention to detail

Communication

AI prompting

Tools

Looker

Power BI

Looker Studio

Job description

Fortress is hiring a FastLane Data Quality Analyst to join the Customer Success team. This entry-level, full-time role focuses on validating and standardizing customer data for Fortress's C‑SCRM platform, starting from day one.

You will collaborate with cross-functional peers to ensure data accuracy and reliable risk outputs for enterprise clients. The 12-month term offers a pipeline to permanent employment, with potential conversion based on performance.