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Assistant Director - Rapid Response Reporting

EY · Caba

Nuevo
Senior 🇬🇧 English
Power BI SQL Excel Power Query

Descripcion del puesto

About the role

EY is looking for an Assistant Director to join its Global R&DA Leadership Reporting Pillar, a small dedicated team within a multi-national team that supports financial reporting, analytics and insights for strategic and ad hoc business requests. The role works closely with senior stakeholders across a diverse portfolio of customers to design, develop and test reports and dashboards that support strategic initiatives and inform leadership decisions.

Key responsibilities

  • Produce reporting specifications, design and develop reports and dashboards, manage user acceptance testing, create user documentation and deliver demonstrations and training sessions.
  • Act as a trusted business advisor to finance and business stakeholders, building their understanding of business requirements and managing expectations on priorities, timelines, risks and deliverables.
  • Ensure reports and dashboards follow established build standards, governance requirements and approved style templates.
  • Act as a liaison between source data providers and the reporting pillar.
  • Support process improvement, document reporting processes and business logic, and identify ways to simplify, standardise and automate processes.

Required profile

  • 10+ years of experience in professional services or other leading global organisations.
  • Strong aptitude for commercial financial reporting and analysis, and experience with large, complex financial datasets.
  • Able to work independently in a geographically diverse team and thrive in a fast-paced environment with competing deadlines.
  • Experience designing, developing and maintaining complex reports and dashboards, including interpreting and improving those built by others.

Required skills

  • Power BI for designing, developing and maintaining complex reports and dashboards.
  • Advanced SQL queries to extract, interrogate, transform and analyse large datasets.
  • Advanced Excel, including complex formulas, data modelling, Power Query and automation.
  • Understanding of concepts such as Wins, Pipeline, Backlog, Revenue and Margin.

Questions fréquentes

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Source : ats:successfactors

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Publicado hace 7 horas

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