Consultant / Data & Analytics / Technology Consulting

Last updated 14 minutes ago
Location:Sydney

The Covid-19 pandemic is creating seismic challenges around the world. Our purpose, to build a better working world, has never been more important. Life at EY has been transformed dramatically but our strong culture of flexible and remote working has helped EY people navigate new ways of working and remain connected with each other and our clients.

A better working world truly starts with the people at EY who are building it every day. Now more than ever we need talented people from diverse backgrounds to help our clients navigate the complexities of this Transformative Age: people with the passion, curiosity and drive to make things better.

The opportunity

We are looking for a Consultant within the Technology Consulting – Data and Analytics team in our Sydney office.

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies and systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region

Your key responsibilities
  • Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques
  • Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies
  • Flexibility to work in the way that brings out the best in you and encourages you to do what you love, in an environment that supports you
  • Be a part of a culture that focuses on delivering excellence for our clients and work with an awesome team of people to work with and access to cutting edge technologies
  • Present data in graphs, charts, tables, etc. and designing and developing relational databases for collecting data
  • Keep a track of trends, patterns and correlation in case of complex data sets
  • Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture and Implementation in order to gain maximum exposure to set you up for a successful consulting career
Skills and attributes for success

We’re looking for people with strong Consulting experience. You will need passion for a career in data analytics, where you will provide a consultative service on a variety of data driven decision making projects within a fast-passed consulting environment.

  • At least 2 years’ experience as an ETL developer or data engineer within the data and analytics domain
  • Project delivery toolset experience in one or more batch ETL tools (such as Informatica, Microsoft SSIS or Talend) or open source data integration tools (such as Kafka or Nifi)
  • Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
  • Exceptional communication, documentation and presentation skills
  • Proven track record in a data/information modelling in a consulting environment
  • A good team player who shows flexibility and a pro-activeness to deliver on relevant outcomes.
  • Exposure to data / data environments / databases / large data sets
  • Strong problem solver, someone unhappy with the status quo
  • Analytical mind set / someone that challenges assumptions
  • Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
  • Exceptional communication, documentation and presentation skills
  • Prior Big4 Consulting experience is highly desirable
Ideally, you’ll also have
  • Experience in engaging with both technical and non-technical stakeholders
  • Strong consulting experience and background, including engaging directly with clients
  • Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects