Target Australia

Data Analyst

29 April 2024
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Deadline date:
£64000 - £106000 / year

Job Description

About the role:

Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights.  Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, analytical engineering and the presentation of recommendations and insight.  Analysts will work within an agile environment, which requires active participation in ceremonies to accomplish the team’s goals.  They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting their data lineage.

  • Actively exploring data for specific use cases
  • Expertise in business domain and processes
  • Creating measurable insights from the data to be shared
  • Documenting calculations, code, and adhering to data management principles
  • Validating and testing data assets of others in the form of peer review
  • Exploring statistical analysis that could be applied to the data
  • Performing descriptive statistics including mean, variance, median, correlation
  • Applies insights and testing in partnership with business users
  • Active participant in team meetings
  • Ability to work independently to turn business problems into data solutions
  • Willing and eager to learn business domain and analytical techniques to elevate team performance
  • Support data infrastructure activities such as connecting, standardizing and automating various data sources
  • Support team operations such as backlog organization, documentation, education & communication material of data products

About You:

  • BA/BS or equivalent experience
  • 1+ years’ work experience in data analysis or masters level education in business analytics, data science, etc.
  • Demonstrated leader in knowledge and application of data, reporting, and analytics
  • Proficient with various programming languages- SQL, R, Python
  • Proficient with relational and non-relational databases
  • Stays current with new and evolving technologies via formal training and self-directed education to continue to raise individual and team performance
  • Math and/or Statistics:
    • Mathematical logic (AND, OR NOT)
    • Descriptive and Inferential Statistics
    • Calculus (weighted averages, rates of change, single variable)
  • Testing and Research Design:
    • Apply the scientific method and experimental design
    • Generate insight from observational data