Senior Associate-RMS Digital RM-Data Analytics

Your key responsibilities

Support the enhancement and extension of the RM data warehouse and existing semantic models

Integrate data from multiple internal systems to support reporting, analytics, and process automation

Assist in building and maintaining data relationships, mappings, and documentation

Contribute to data quality checks, validation logic, and standardization efforts

Collaborate with global RM teams to understand requirements and support translation into structured data

Support the development of hybrid cloud integration patterns and workflows

Help maintain metadata, documentation, and definitions to ensure clarity and consistency

Provide support to stakeholders by explaining data structures and assisting with data-related questions

Actively seek to understand the business meaning behind the data, not only its technical structure

What Success Looks Like (First 12 Months)

You have contributed to integrating additional data sources into the RM data warehouse

You support improvements in data quality and consistency across selected RM processes

You have worked on semantic models and understand how they support reporting and analytics

You contribute to documentation, mappings, and definitions used by the team

You collaborate effectively with both technical and business stakeholders

You show growing confidence in understanding how data reflects business processes and decisions

Skills and attributes for success

Strong analytical mindset and attention to detail

Curiosity to understand how data reflects real business processes and decisions

Willingness to learn beyond purely technical topics and engage with risk management concepts

Ability to ask the right questions when requirements are unclear

Clear and collaborative communication with global stakeholders

Structured approach to problem-solving and eagerness to grow into more ownership over time

Interest in working across both technical and business domains

To qualify for the role, you must have

University degree in Mathematics, Informatics, Physics, Engineering, or a related field

Initial experience (or strong academic exposure) in working with data (integration, modelling, or analysis), combined with an interest in understanding how data supports business processes

Basic understanding of SQL and willingness to further develop technical skills

Strong willingness to learn and grow in a data-driven role

Ideally, you’ll also have

Exposure to Python, APIs, or ETL/ELT concepts

Interest in cloud technologies (Azure, AWS)

Basic understanding of metadata or semantic modeling concepts

Interest in risk, compliance, or governance topics

What working at EY offers

A role within a growing, globally connected data integration team

Opportunity to build both technical and business understanding in a risk management context

Supportive leadership, training, and structured development opportunities

Exposure to modern data architecture concepts, including hybrid cloud and Data Fabric

Flexibility in working style and a strong focus on work–life balance

EY | Building a better working world

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.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.