EY
EY

EY yra pasaulinė profesionalių paslaugų įmonė, teikianti audito, mokesčių, konsultavimo ir patariamąsias paslaugas. Jos komandos padeda organizacijoms spręsti sudėtingus verslo iššūkius, stiprinti pasitikėjimą finansine atskaitomybe ir rinkomis, taip pat pasitelkti duomenis bei technologijas pokyčiams įgyvendinti.

Įmonė teikia tokias paslaugas kaip įmonių finansų konsultacijos, sandorių strategijos ir technologijų konsultavimas. EY dirba sveikatos priežiūros, teisinių paslaugų, rinkodaros, energetikos, finansų ir valdžios sektoriuose, o daugelį jos sprendimų formuoja tvarumas ir inovacijos.

Senior Associate Data Engineer

At EY, analyze business data and build Power BI dashboards for client Decision Sciences projects. Develop solutions with SQL, ETL, and the Power Platform.

Aprašymas

  • Partner with business reporting and cross-functional teams to clarify requirements
  • Analyze data and support project transitions
  • Lead transition activities when needed
  • Manage post-transition development, enhancements, and modifications
  • Work with back-end data architects and systems engineers to build data objects for business needs
  • Act as the team’s subject matter expert
  • Analyze large datasets, identify patterns and rules, and create Power BI dashboards
  • Manage databases and data models
  • Build low-code solutions with Power Apps and Power Automate
  • Design and maintain database and table structures for new and changing data sources
  • Conduct detailed analysis to check data quality
  • Own work from analysis through development
  • Manage client expectations, share status updates, prioritize deliverables, and apply change control and release management processes
  • Manage multiple projects and coordinate across service-line teams
  • Define problems and identify suitable analytical approaches
  • Contribute as a senior team member to technical workstreams in Decision Sciences implementation projects
  • Apply technical practices at the product and design levels
  • Coordinate and communicate with onsite coordinators
  • Develop analytical strategies using suitable methods and technologies
  • Document and present work to clients
  • Recommend and influence changes to business decision-making
  • Complete assigned work on schedule and report progress regularly to the lead

Reikalavimai

  • Bring more than five years of Data Analyst experience and strong skills in SQL/T-SQL, Power BI, Power Apps, and Power Automate
  • Knowledge of ETL tools such as SSIS and Azure Data Factory is an advantage
  • Python coding and Databricks experience are beneficial
  • Working knowledge of MS Excel macros is an advantage
  • Have experience working in an Agile environment
  • Prior client-facing experience is preferred
  • Demonstrate excellent written and verbal communication skills
  • Hold a bachelor’s or master’s degree in a related field

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