Job Openings XTN-99AA485 | BI DEVELOPER

About the job XTN-99AA485 | BI DEVELOPER

Functional overview

  • Our Automation and Advanced Analytics Centre of Excellence is looking for an Individual who can perform a hybrid role of Data Visualisation Developer. Someone who has strong data analysis experience and can deliver a range of outputs including (but not limited to) the items listed below, using a pre-determined and approved toolkit.
  • The Project:
  • The Centre of Excellence is running a project that aims to create a global standard for retrieving, storing, calculating, and reporting the inventory information of the company.

Duties and Responsibilities

  • Minimum 5+ years' of experience in a similar developer role.
  • Applicant must have some data analysis or Business Intelligence experience.
  • Intermediate to advanced experience of at least two other languages/techniques from DAX/M-Query, C-Sharp, .NET, Javascript, SQL, Python or R.
  • Experience with data science tools, particularly Alteryx
  • Minimum 3+ years data visualisation experience using MS Power BI or Tableau.
  • Minimum 3+ years of interfacing with business units to understand business requirements and design solutions around them.

Minimum competencies

  • We are looking for a developer that is highly curious; interested in wider business needs; willing to learn new skills and technologies; and happy to get involved in the wider aspects of the project (not just straight technical development).
  • They need to be comfortable working in a relatively small team; working with overseas businesses and in a high-paced environment.

Minimum Qualifications

  • Data Visualisation and Data Analysis
  • Develop intuitive and attractive static and interactive data visualisations using primarily Microsoft Power BI platform
  • Create dashboard and reports as needed using other platforms and tools as needed by the project
  • Work with the Automation & Analytics Director and other stakeholders to deliver on opportunities for leveraging company data to drive business solutions.
  • Identify, analyse, and interpret trends or patterns in the data sets
  • Filter and “clean” data by reviewing reports and performance indicators to locate and correct code problems


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