Data Delivery Consultant - Financial Services Analytics

Ernst & Young Advisory Services Sdn Bhd; Lancy, Genf; Vor Ort; CHF 110.000 - 140.000; Vollzeit

Zusammenfassung

Ernst & Young Advisory Services Sdn Bhd in Geneva/Zurich is seeking a Data Delivery Consultant to support large-scale data transformation, analytics, reporting, and automation in financial services.

The role involves building scalable reporting and data processing solutions, working with senior analytics professionals, and delivering insights from complex datasets. Opportunity to work with modern data technologies and automation tools in a regulated environment.

Qualifikationen

• Bachelor's or Master's degree in data analytics, CS, IS, math, stats, eng, or finance with quantitative focus.
• Proficiency in SQL, Python, and ETL concepts is required.
• Experience with Power BI and data visualization tools is essential.

Aufgaben

• Extract, transform, and validate data from multiple sources and formats.
• Develop and maintain ETL processes and data pipelines.
• Support data quality assessments, reconciliation, and governance activities.
• Build and interpret dashboards and reports to support management.
• Assist with data migration and transformation efforts.
• Document data flows, rules, and technical specifications.

Kenntnisse

SQL

Python

ETL principles

Data quality and validation

Data modelling concepts

Relational databases

Ausbildung

Bachelor's or Master's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Finance with strong quantitative focus

Tools

Power BI

Alteryx

Excel (advanced level)

Power Query

Relational databases

Jobbeschreibung

Ernst & Young Advisory Services Sdn Bhd in Geneva/Zurich is seeking a Data Delivery Consultant to support large-scale data transformation, analytics, reporting, and automation in financial services.

The role involves building scalable reporting and data processing solutions, working with senior analytics professionals, and delivering insights from complex datasets. Opportunity to work with modern data technologies and automation tools in a regulated environment.