Banking Data Analyst - Sydney

Location:Sydney

  • Variety of work and career development opportunities
  • Choose a career that connects you globally on a daily basis
  • Be part of a high-performing, supportive culture
About EY
The opportunity

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.

We are looking for a Data Analyst within the DnA team in our Perth office. This role is offered on a flexible full time basis.

Your key responsibilities
  • Analyse data requirements with our clients, and our team including Architects, Data Scientists and Business Analysts and preparing design specifications
  • Excellent interpersonal oral and written communication skills with extensive experience in explaining complex technical concepts in simple terms
  • A demonstrated track record in successfully bridging the gap between technology & business teams and stakeholders
  • A personal commitment to continuous learning with a demonstrated track record of keeping up to date with emerging analytics toolsets approaches methods and algorithms
  • A demonstrated ability to work collaboratively toward common goals
Skills and attributes for success
  • Have a BS in Computer Science and/or equivalent years of experience of backend software development focused on data engineering
  • Demonstrated experience in scoping pricing and delivering analytic engagements
  • Demonstrated deep expertise in one or more of the following areas:
    Data Mining & Management / Predictive Analytics / Machine Learning / Optimisation / Business Rules Engines / Geospatial Analysis / Risk Scoring & Identification
  • Demonstrate experience with a range of languages / tools such as:
    SQL / R / Alteryx / Python / Tableau / QlikView / GitHub / VBA
  • Demonstrate experience with improving team quality efficiency and skill sets
  • Understand & articulate the commercial implications of analytic solutions
  • Understand data in the context of financial/ banking reporting and decision making
  • A proven ability to create advanced analytical models that are fit for purpose and scalable
  • Prior experience in the banking domain is a must
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
  • Excellent communication and presentation skills