Fortress FastLane, Data Quality Analyst

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

Position: Fortress FastLane, Data Quality Analyst

Location: Orlando HQ - Remote, FL

Job Id: 718

# of Openings: 1

Fortress FastLane Associate, Data Quality Analyst

Location: Remote

Compensation: $70,000 Employment Type : Full-Time, Temporary (12-month term with potential conversion to a permanent position)

What you can expect as the FastLane Data Quality Analyst at Fortress...

The FastLane Data Quality Analyst is an entry-level, full-time role within the Customer Success team, designed to develop early-career talent into the data and analytics professionals who power Fortress's commercial C‑SCRM platform. As a FastLane hire, you'll be embedded directly in the Customer Success team owning data quality for commercial customers from day one. You'll validate, reconcile, and standardize customer-provided data to ensure the accuracy and reliability of the risk insights that enterprise clients depend on to protect critical infrastructure and supply chains. Working closely with Customer Success Managers, Product, and customer stakeholders, you'll have immediate and visible impact on customer outcomes across sectors like energy, utilities, and manufacturing.

This is a 12-month, full-time temporary role. FastLane is intentionally structured as a pipeline to permanent employment, and associates who demonstrate strong performance may be considered for conversion to a permanent position at the end of the term. This makes it a compelling opportunity for candidates seeking a fast-tracked path into a product career at a growing cybersecurity company.

Responsibilities Include

• 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

Minimum 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

Preferred Skills

• 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

Employee Benefits:

• Competitive pay structure
• Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
• Company paid life, short- and long-term disability insurance
• Employee Assistance Program
• 401(k) match
• Flexible Paid Time Off
• We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
• Tuition and certification reimbursement
• Employee Referral Programs
• Company Sponsored Events

Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.