EYP-DNA-Assistant Manager

Assistant Manager Carvex

Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management Visualization Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors

The opportunity

We are looking for Assistant Manager for financial sector under Sell and Separate practice. The main purpose of the role is to support complex transaction and carve-out analytics engagements by leveraging financial data modelling reconciliation and advanced analytics capabilities.

The role will involve working across the end-to-end CARVEx lifecycle including data ingestion transformation modelling reporting and advanced analytics to generate decision-ready financial views.

This role will work closely with cross-functional teams including finance transaction stakeholders and technology teams to deliver scalable cloud-based analytics solutions leveraging modern Azure data platforms and AI-enabled capabilities.

This role will be instrumental in designing developing and evolving modern financial data warehousing solutions and integration frameworks tailored for carve-out transactions leveraging cutting-edge tools and platforms across both on-prem and cloud this role you will define data models financial mapping logic and documentation to support the extraction transformation and allocation of financial statements (P&L Balance Sheet Cash Flow) for carve-out scenarios.

Discipline

Information Management & Analysis

Role Type

A Data Engineer (technofunctional role)in CARVEx

Uses agreed-upon methods processes and technologies to design build and operate scalable data solutions that support financial carve-outs. Enables integration validation reconciliation and reporting of complex financial datasets while delivering meaningful business insights. Works with stakeholders to build analytics solutions that drive transaction decision-making and business value.

Skills

• SQL Python Power BI Azure Platform Azure data explorer Azure Data factory Azure Databricks Cloud Computing Programming Data Modelling Data Integration Data Quality Database Management
• Agentic architectures like langraph/n8n/autogen experience with vector databases and tuning the database queries and LLMs
• Client Handling & Communication Problem solving / critical thinking Interest and passion for Technology Adaptability/Agility Analytical Thinking Collaboration

Your key responsibilities

• Design and develop scalable data models and pipelines supporting carve-out financial reporting (P&L Balance Sheet Cash Flow)
• Perform data ingestion transformation and integration from multiple financial systems (GL ERP trial balance)
• Execute data validation reconciliation and audit-trail alignment with financial statements
• Build interactive dashboards and reports using Power BI and other visualization layers
• Conduct advanced analytics (financial variance margin analysis KPI-driven insights) for transaction support
• Develop and maintain robust data warehousing layers (staging transformation reporting)
• Collaborate with cross-functional teams to understand business dimensions and financial constructs
• Evaluating data warehousing tools for business intelligence data population data management and metadata management
• Strong working knowledge across the technology stack including ETL ELT data analysis metadata data quality audit and design visualization using Power BI and Paginated reports
• Design develop and test in ETL tool environment (GUI/canvas steered tools to create workflows)
• Experience in design documentation (data mapping technical specifications production support data dictionaries test cases etc.)
• Adhere to ETL/Data Warehouse development Best Practices Visualization best practices
• Responsible for Data orchestration ingestion ETL and reporting architecture for both on-prem and cloud ( MS Azure)
• Assisting the team with performance tuning for ETL and database processes reporting using excel power bi and paginated reports
• Apply AI/GenAI-driven techniques to enhance analytics and automate insights generation
• Support POCs solutioning and business development initiatives
• Ability to integrate AI into BI workflows for improved insights and efficiency

.

Skills and attributes for success

• 5-8 years of total experience with 3 years in Data warehousing/ Business Intelligence field with exposure to financial datasets
• Strong understanding of financial concepts (trial balance consolidation financial statements) and transforming them into technical usable solutions
• Solid hands-on 3 years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse
• Strong knowledge of data architecture for staging and reporting schemas data models and cutover strategies using industry standard tools and technologies
• Minimum 3 years experience in Azure database offerings Relational NoSQL Datawarehouse
• 2 years hands-on experience in various Azure services preferred Azure Data Factory Azure Data Explorer Storage Azure Analysis Services & Databricks
• Minimum of 3 years of hands-on database design modelling and integration experience with relational data sources such as SQL Server databases Oracle/MySQL Azure SQL
• Knowledge and direct experience using business intelligence reporting tools (Power BI Paginated reports Alteryx etc.)
• Strong creative instincts related to data analysis and visualization.
• Strong with Excel with exposure to advanced excel capabilities like Power Query Power Pivots VBA
• Curiosity to learn the business methodology data model and user personas.
• Strong understanding of BI and ETL best practices analysis visualization and latest trends.
• Willingness to mentor team members
• Solid thoughtfulness technical and problem-solving skills
• Excellent written and verbal communication skills

To qualify for the role you must have

• Bachelors or equivalent degree in computer science or related field required. Advanced degree
• or equivalent business experience preferred
• Fact steered and thoughtfulness with excellent attention to details
• Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analyzing large volumes of data
• Relevant work experience of minimum 6 to 8 years in a big 4 or technology/ consulting set up

Ideally youll also have

• Ability to think strategically/end-to-end with result-oriented mindset
• Ability to build rapport within the firm and win the trust of the clients
• Willingness to travel extensively and to work on client sites / practice office locations

What we look for

• A Team of people with commercial acumen technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-prominent multi-disciplinary team of 1400 professionals in the only integrated global transaction business worldwide.
• Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations Argentina China India the Philippines Poland and the UK and with teams from all EY service lines geographies and sectors playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants we offer a wide variety of fulfilling career opportunities that span all business GDS you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Well introduce you to an ever-expanding ecosystem of people learning skills and insights that will stay with you throughout your career.

• Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
• Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.