Data Analyst

Posted Yesterday
Pearl Tower, Hadapsar, Pune, Maharashtra, IND
In-Office
Entry level
Cloud • Information Technology • Internet of Things • Software • Consulting • Infrastructure as a Service (IaaS) • Automation
Creating better technology the open source way
The Role
Analyze partner ecosystem data using Snowflake, SQL, Python, and business intelligence tools. Build dashboards with AI-generated narratives, automated trend detection, and predictive insights; maintain a centralized data source for rebates, co-selling, MDF, and training data; and automate SQL, scripting, documentation, and data workflows with LLMs. Translate complex partner performance data into clear recommendations for sales executives and collaborate across Channel Operations, Data Science, and partner services teams.
Summary Generated by Built In

About the Job:

We are looking for a Data Analyst to revolutionize how we measure and scale our Partner Ecosystem & Services Business.. In this role, you won't just build dashboards; you will build intelligent systems. You will sit at the intersection of Channel Operations and Data Science, using Snowflake, SQL, and Python to turn raw data into a competitive advantage.

What will you 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.

What will you bring?

  • 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).

  • Domain Expertise: Previous experience with Channel/Partner/Services (GLS/GPS/TAM) is highly preferred.

Soft Skills

  • 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.

Why Join Us?

  • Opportunity to lead the transition from reactive reporting to predictive ecosystem intelligence.

  • Budget and support for modern AI tools and experimentation.

About Red Hat

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. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
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. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [email protected]. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Skills Required

  • Expert-level ability to write complex, performant SQL queries in Snowflake
  • Mastery of at least one major visualization tool, such as Tableau, CRMA, or Sigma
  • Experience using Python for data manipulation with pandas and NumPy
  • Experience integrating Python with AI APIs such as OpenAI or Anthropic, or Snowflake Cortex
  • Proven experience using LLMs to enhance the data lifecycle, including text-to-SQL, automated data cleaning, or predictive analytics
  • Experience building Streamlit applications or CRMA solutions
  • Previous Channel, Partner, or Services experience, including GLS, GPS, or TAM

Red Hat Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Red Hat and has not been reviewed or approved by Red Hat.

  • Healthcare Strength Healthcare coverage is presented as comprehensive, spanning medical, dental, and vision along with life and disability coverage. Access to HSA/FSA options and broadly positive reception of health benefits support the view that healthcare is a core strength.
  • Leave & Time Off Breadth Time-off offerings are described as generous, with substantial PTO for new hires plus additional recharge days and an end-of-year shutdown for many non-critical roles. Paid volunteer time, holidays, sick days, and supportive expectations around taking time off reinforce the breadth of leave benefits.
  • Strong & Reliable Incentives The rewards package includes performance bonuses and a recurring quarterly bonus program tied to company and individual performance. Availability of ESPP participation further adds to incentive pathways beyond base pay.

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The Company
HQ: Raleigh, NC
20,000 Employees
Year Founded: 1993

What We Do

At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, storage, and virtualization technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies.

Why Work With Us

Red Hatters freely exchange different viewpoints, contribute ideas, and solve problems together. Our love of collaboration, accountability, a sense of community, and a measure of autonomy combine to create a powerful force that fosters innovation and makes Red Hat a great place to work.

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