Data Analyst
Red Hat · Posted Sep 16
Enterprise open source software, hybrid cloud, Linux, and container solutions
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About the role
Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. The Partner Ecosystem & Services Business team is looking for a Data Analyst to revolutionize how it measures and scales its business, sitting at the intersection of Channel Operations and Data Science. This role involves building intelligent systems with Snowflake, SQL, and Python to turn raw data into a competitive advantage, including AI-driven dashboards and predictive ecosystem intelligence.
What you will do
- AI-Driven Visualization: Develop high-impact dashboards (Tableau, CRMA, or Preset) that incorporate AI-generated narratives and automated trend detection.
- Ecosystem Intelligence: Design and maintain a "Single Source of Truth" in Snowflake for all data (Rebates, Co-sell, MDF, and Training).
- Workflow Automation: Use AI tools to automate the generation of SQL queries, Python scripts, and dashboard documentation to increase team velocity.
- The ideal candidate is an AI enthusiast who leverages Large Language Models (LLMs) to automate dashboarding workflows, generate natural language insights, and predict partner performance.
Skills used in this role
What the employer is looking for
- SQL Mastery: Expert-level ability to write complex, performant queries in Snowflake.
- Modern BI Tools: Mastery of at least one major visualization tool (Tableau, CRMA, Sigma) with a preference for those who have built Streamlit apps or CRMA
- Python Proficiency: Experience using Python for data manipulation (pandas, numpy) and integrating with AI APIs (OpenAI, Anthropic) or Snowflake Cortex.
- AI Integration: Proven experience using LLMs to enhance the data lifecycle (e.g., text-to-SQL, automated data cleaning, or predictive analytics).
- Collaborative Architect: You enjoy working with cross-functional teams to understand the "why" behind the data.
- The "AI-First" Mindset: You naturally look for ways to automate the boring parts of data analysis.
- Strategic Storytelling: You can translate a complex "Partner Co-sell" matrix into a clear story for the Sales Executives.
Preferred qualifications
- Domain Expertise: Previous experience with Channel/Partner/Services (GLS/GPS/TAM) is highly preferred.
Benefits and support
- Opportunity to lead the transition from reactive reporting to predictive ecosystem intelligence.
- Budget and support for modern AI tools and experimentation.
- Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies.
- Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role.
- Red Hatters are encouraged to bring their best ideas, no matter their title or tenure.
- We're a leader in open source because of our open and inclusive environment.
- Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone.
- Red Hat is proud to be an equal opportunity workplace and an affirmative action employer.
- Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants.
About Red Hat
Red Hat is the world's leading provider of enterprise open source software solutions, utilizing a community-powered approach to deliver reliable Linux, hybrid cloud, container, and Kubernetes technologies. The company helps organizations standardize across operating environments, develop cloud-native applications, and scale automation and artificial intelligence solutions. Operating as an independent subsidiary of IBM, Red Hat serves a vast majority of Fortune 500 enterprises globally.
- Industry
- Computer Software
- Company size
- 19000 employees
- Founded
- 1993
- Location
- Raleigh, North Carolina, USA
- Funding stage
- Public Company
Funding
Public Company
Leadership
President and Chief Executive Officer
Chief Technology Officer and Senior Vice President, Global Engineering
Senior Vice President and Chief Product Officer
Mario Vaz
Chief Financial Officer
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