EY Risk Data Engineer/ Leads 

India, Maharashtra, Pune 

328523791

Job Description:

The Position is a senior technical, hands-on delivery role, requiring the knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support using ground-breaking cloud and big data technologies.

Responsibilities:

• Contribute to the buildout and ongoing evolution of the Enterprise Analytics COE, shaping best practices and governance standards.
• Act as a subject matter expert (SME) in enterprise lakehouse data, guiding end users in identifying and leveraging key data sources.
• Work closely with business users to understand their analytics needs, providing consultation on BI tool selection and data strategies.
• Lead training sessions for ThoughtSpot (and Tableau) users to enhance adoption and proficiency in self-service analytics.
• Perform hands-on data analysis against enterprise lakehouse data to uncover insights and demonstrate tool capabilities.
• Develop reusable analytics templates, dashboards, and frameworks that drive consistency and efficiency across the organization.
• Support initial dashboard and analytics development efforts, assisting teams with prototyping and best practices implementation.
• Stay up to date on emerging BI trends, ThoughtSpot and Tableau advancements, and AI-driven analytics approaches to drive innovation.

Required Qualifications:

• Experience working as a Technical Data Analyst, BI Analyst, or Business Analyst in an enterprise environment.
• Strong SQL skills and experience handling large datasets.
• Proficiency in data warehousing concepts, ETL processes, and BI reporting tools such as Tableau, Power BI, Qlik, ThoughtSpot.
• Excellent analytical and problem-solving skills with the ability to collaborate across cross-functional teams.
• Strong stakeholder management abilities, with the ability to effectively communicate technical insights to non-technical audiences.

Preferred Qualifications:

• Hands-on experience with ThoughtSpot BI Platform.
• Financial services experience and understanding of financial data structures.
• Familiarity with cloud-based BI platforms (AWS, Azure, etc.).
• Knowledge of Natural Language Processing (NLP), AI-driven data aggregation, and automated reporting technologies.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.