Hybrid Senior Field Quality Data – Business Intelligence Analyst

at Red Hat

• Job title: Senior Field Quality Data – Business Intelligence Analyst
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Open Source, SFDC, SQL, Tableau
• Location requirements: Hybrid, Brno, Czech

About the role

• Senior Field Quality Data & Business Intelligence Analyst at Red Hat transforming field data into strategic improvements. Building analytical capabilities, dashboards, and managing technical relationships with BI and Closed Loop teams.

Responsibilities

• Own the FQT Data Platform & Quality: Design and build complex data models to forecast business performance and trends.
• Develop comprehensive dashboards and reports that present complex data in a clear and concise manner to track all FQT and pillar-level KPIs.
• Ensure data integrity and quality by implementing data validation and cleansing techniques.
• Manage Strategic Data Partnerships (BI & Closed Loop): Act as the FQT's primary technical point of contact with the central Business Intelligence (BI) pillar and the Closed Loop team.
• You will fully leverage these partnerships to access critical support and escalation data, manage feed requirements, and ensure our team possesses the robust, clean data needed for our intelligence models.
• Drive Strategic Insights & Communication: Conduct ad-hoc analysis and provide data-driven insights to support strategic initiatives.
• Partner with our Program Manager and Analysts to communicate findings and recommendations to stakeholders through high-quality presentations and reports, empowering our "Improvement Opportunity" proposals to the Quality Council.
• Drive AI Innovation & Automation: Proficiently leverage AI-assisted development tools (such as Git/Github/Gitlab, Gemini, Granite, Claude, and Cursor) to optimize code quality and enhance analytical insights.
• Investigate and pilot emerging AI technologies, proactively identifying and integrating new AI capabilities into current workflows to augment program functionalities.
• Furthermore, automate routine data processes to enhance operational efficiency.
• Drive Proactive Identification: Perform the quantitative analysis on support and escalation data to proactively identify and prioritize candidate customers for our high-touch intervention program.

Requirements

• Proven experience operating at a Senior level in a Data Analyst, Business Intelligence, or Operations Analyst role, with a strong track record of building analytical capabilities from the ground up.
• Expertise in data modeling and managing complex data workflows from multiple sources; you know how to access, clean, structure, and validate data to ensure integrity.
• Advanced proficiency with reporting and visualization tools like Tableau, Salesforce (SFDC), and SQL, with the ability to design comprehensive dashboards that track key performance indicators.
• Demonstrated passion and ability to leverage AI and automation (e.g., LLMs, anomaly detection, predictive insights) to build scalable analytical systems and improve data workflows.
• Excellent communication skills with the ability to synthesize complex data into clear, compelling stories and actionable recommendations for executive audiences.
• Strong organizational and project management skills, with superior attention to detail and the ability to thrive in ambiguity.
• Familiarity with the Red Hat solutions portfolio, technical support delivery models, and open source software development processes is a plus.

Benefits

• N/A