Data Delivery Consultant - Financial Services (Geneva or Zurich)

EY; Lancy; Vor Ort; CHF 90.000 - 130.000; Vollzeit

Zusammenfassung

EY is seeking a motivated Data & Intelligence Delivery Consultant to support large-scale data transformation, analytics, reporting, and automation across financial services. You will transform raw data into meaningful insights and help build scalable reporting and data processing solutions.

The role involves data preparation, analytics, automation, governance, and close collaboration with senior analytics professionals to deliver high-impact outcomes using modern data technologies.

Qualifikationen

• Bachelor's or Master's degree in a relevant quantitative field.
• Strong experience with data analytics, BI, and reporting.
• Proficiency in SQL, ETL, and data governance concepts.

Aufgaben

• Prepare and engineer data from multiple sources; validate data quality.
• Develop and maintain Power BI dashboards and reports; provide insights.
• Collaborate on automation and process improvement initiatives.

Kenntnisse

SQL

Power BI

Alteryx

Excel

Power Query

Python

Data modelling

ETL principles

Relational databases

Data quality

Ausbildung

Bachelor's or Master's degree in Data Analytics

Computer Science

Information Systems

Mathematics

Tools

Tableau

Git

Databricks

Azure Data Platform

Jobbeschreibung

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

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.