Data & Intelligence Delivery Consultant (Geneva or Zurich)

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We are looking for a motivated and curious Data & Intelligence Delivery Consultant to join our team. The successful candidate will support large-scale data transformation, analytics, reporting, and automation initiatives across financial services.
This role offers an excellent opportunity to work with modern data technologies, business intelligence platforms, and automation tools while gaining exposure to complex financial, regulatory, and operational datasets.
You will work closely with senior analytics professionals to transform raw data into meaningful insights, support data-driven decision making, and help build scalable reporting and data processing solutions.
Key Responsibilities
Data Preparation & Engineering
Extract, transform and validate data from multiple source systems and file formats.
Support the development and maintenance of ETL processes.
Assist with data quality assessments and reconciliation procedures.
Work with large datasets and perform validation checks to ensure accuracy and completeness.
Support data migration and data transformation activities.
Analytics & Reporting
Develop and maintain Power BI dashboards and reports.
Prepare regular management and operational reporting packs.
Perform trend analysis, benchmarking, KPI monitoring, and variance analysis.
Translate business requirements into analytical solutions.
Assist stakeholders in interpreting analytical findings.
Automation & Process Improvement
Support automation initiatives using scripting and workflow tools.
Help streamline repetitive reporting and data processing activities.
Participate in the design of scalable and repeatable analytics solutions.
Document processes, business rules, and technical specifications.
Data Governance & Controls
Support data quality monitoring initiatives.
Perform reconciliation and validation activities across multiple datasets.
Help maintain documentation of data lineage, transformations, and controls.
Assist with audit and regulatory reporting requirements.
Required Qualifications
Education
Bachelor's or Master's degree in:Data Analytics,Computer Science, Information Systems, Mathematics, Statistics, Engineering, Finance with strong quantitative focus, Similar analytical discipline
Technical Skills
Experience or knowledge of some of the following:
SQL, Power BI, Alteryx, Excel (advanced level), Power Query, Python, Data modelling concepts, ETL principles, Relational databases, Data quality and validation techniques
Language Skills
Professional proficiency in English is required.
Professional proficiency in French is required for roles based in Geneva, while professional proficiency in German is required for roles based in Zurich.
Knowledge of any of the following would be considered an advantage:
PowerShell, Azure Data Platform, Tableau, Git, Databricks, Financial or insurance data
Desired Attributes
We are looking for someone who:
Has a genuine interest in data and technology.
Enjoys solving complex problems.
Is highly organized and detail-oriented.
Demonstrates strong analytical thinking.
Can communicate technical concepts clearly to non-technical audiences.
Takes ownership and shows initiative.
Is eager to learn and develop new technical skills.
Can work effectively both independently and as part of a team.
Is motivated to do the right thing and demonstrates integrity in their work and decision-making.
Thinks outside the box and develops creative, practical solutions that improve efficiency and productivity.
What You Will Learn
This role provides significant exposure to:
Enterprise-scale data processing
Business intelligence and dashboard development
Large financial and operational datasets
Data engineering and automation techniques
Data quality and governance frameworks
Regulatory and performance reporting
Advanced analytical methodologies
Preferred Experience
Any experience in one or more of the following areas would be beneficial:
Financial services
Banking
Insurance
Consulting
Audit analytics
Regulatory reporting
Data engineering
Business intelligence
Why Join Us?
You will join a team focused on delivering practical, high-impact analytics solutions. You will work on challenging projects, gain exposure to modern data technologies, and receive hands-on experience across the full data lifecycle, from source extraction to executive-level reporting.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.