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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.

Tasks

  • 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.
  • 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.
  • 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.
  • 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.

Requirements

  • Bachelor's or Master's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Finance with strong quantitative focus, or a similar analytical discipline.
  • 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.
  • Professional proficiency in English is required.
  • Professional proficiency in French is required for roles based in Geneva.
  • 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.
  • 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.
  • 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.

Benefits

  • 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, and advanced analytical methodologies.
  • 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.
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Über uns
Ernst & Young AG ist die Schweizer Mitgliedsfirma des internationalen EY-Netzwerks und erbringt Dienstleistungen in den Bereichen Wirtschaftsprüfung, Steuerberatung, Transaktionsberatung, Unternehmensberatung, Recht, Strategie und Nachhaltigkeit. EY Schweiz unterstützt Unternehmen, öffentliche Institutionen, Finanzdienstleister, Unternehmerinnen und Unternehmer sowie weitere Organisationen bei regulatorischen, finanziellen, technologischen und organisatorischen Fragestellungen. Das Unternehmen ist an mehreren Standorten in der Schweiz sowie in Liechtenstein präsent und verbindet lokale Beratung mit der internationalen EY-Organisation.
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