GURUGRAM · FULLTIME
Data Analytics Specialist
Ernst Young
Gurugram · onsite · Posted 43d ago
Sourced from
Undisclosed2–5 yrsfulltimeGurugram
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.6s
- Found the form on Naukri · 13 questions to answer1.8s
- Decided the answers for all of them3.0s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Job Summary
As an Assistant Director Data Engineering & Analytics at EY, you will manage the design, scaling, and transformation of enterprise-grade data and analytics capabilities for Clients & Industries (C&I) and strategic EY-wide initiatives.
You will move beyond execution to end-to-end ownership of data platforms, analytics programs, and business-facing solutions, ensuring alignment with priorities. This role requires a strong foundation in data engineering and analytics, complemented by exposure to AI, Gen AI, and agentic capabilities to drive next-generation insights and productivity.
You will act as a trusted advisor to business stakeholders and leadership, shaping data strategy, driving adoption, and building scalable, future-ready data ecosystems.
Key Responsibilities Data Engineering, Architecture & AI Enablement - Manage the hands-on design and execution of data engineering and analytics solutions aligned to business priorities.
- Own and scale data platforms, pipelines, and analytics solutions across C&I use cases.
- Architect and manage development of scalable, secure, high-performance data platforms in MS Azure.
- Establish best practices for data ingestion, transformation, modelling, governance, and reuse of data assets and pipelines.
- Ensure high-quality, reliable, and trusted data pipelines for analytics and advanced use cases.
- Drive adoption of AI-enabled analytics capabilities, including Gen AI, Copilot Studio, and Agentic AI frameworks.
- Enable integration of LLMs and AI services for summarization, insights generation, and workflow automation.
- Translate complex business problems into data and analytics solutions delivering measurable outcomes.
- Manage development of dashboards, advanced analytics models, and decision-support tools.
- Enable business teams to move from data insight action through storytelling and visualization.
- Identify opportunities to embed analytics into products, workflows, and decision-making processes.
- Engage senior stakeholders as a trusted advisor, translating business needs into scalable data solutions.
- Manage cross-functional programs across business, analytics, and technology teams.
- Manage multiple workstreams ensuring delivery quality, timelines, and stakeholder satisfaction.
- Drive collaboration across global, multi-disciplinary teams.
- Ensure adherence to data governance, privacy, GDPR, and information security standards.
- Establish frameworks for data quality, lineage, and metadata management.
- Monitor and optimize performance, scalability, and cost efficiency of data platforms.
- Build and mentor high-performing data and analytics teams.
- Drive a data-first and AI-first culture across the organization.
- Stay current with emerging technologies and pilot new tools, frameworks, and accelerators.
- Strong data & analytics solutioning mindset, with ability to connect technology to business outcomes.
- Proven ability to translate strategy into scalable execution.
- Strong executive presence and ability to influence senior stakeholders.
- Deep problem-solving skills with structured and hypothesis-driven thinking.
- Ability to manage complex programs across geographies and stakeholders.
- Strategic, innovative, and outcome-oriented mindset.
- Strong communication and storytelling skills to simplify complex insights.
- Collaborative leadership style with focus on team development and capability building.
- Strong hands-on experience in data engineering and analytics.
- Proficiency in SQL, Python, and modern data processing frameworks.
- Strong expertise in Microsoft Azure ecosystem (e.g., Azure Data Factory, Synapse, Data Lake, etc.).
- Experience with data modelling, architecture design, and performance optimization.
- Hands-on experience with Power BI or similar visualization tools.
- Familiarity with data integration, APIs, and enterprise data platforms.
- Exposure to Gen AI, LLMs, and AI-driven analytics use cases.
- Experience with Copilot Studio, Power Platform, or similar low-code AI ecosystems.
- Understanding of Agentic AI frameworks and automation-driven workflows.
- Exposure to Alteryx or advanced analytics tools.
We are looking for experienced professionals who combine strong data engineering and analytics expertise with strategic thinking and leadership capability.
The ideal candidate will: - Drive business value through data and analytics, not just technology delivery.
- Be comfortable operating at both strategic and execution levels.
- Demonstrate a forward-looking mindset, leveraging AI and automation to enhance productivity and insights.
- Thrive in a fast-paced, evolving, and collaborative environment.
Sourced from naukri
Section · 02
Skills
AutomationCopilot Studioapisai servicesai frameworksCapability BuildingcopilotalteryxAnalyticsCapital MarketsData AnalyticsData EngineeringArchitectureAzure Data FactoryAdvanced AnalyticsData GovernanceMicrosoft AzureArtificial Intelligence
Section · Company
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
About
At EY, our purpose is Building a better working world. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over.
Industries
Management Consulting
Employee ratings
10 reviews
3.4/ 5
Culture
1.9
Career growth
2.3
Work-life
2.5
Employees rate it well for
Job Security36Skill Development35
Find them on