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Business Data Analyst

Spring Boot With Microservices

Melbourne, Victoria, Australia · മുഴുവൻ സമയവും

അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ

അനുഭവം
ഏതെങ്കിലും
ശമ്പളം
ഓപ്പണിംഗുകൾ
1
പോസ്റ്റ് ചെയ്തു
4 മണിക്കൂർ മുൻപ്
Work mode
ഓഫീസിൽ
വിദ്യാഭ്യാസം
Bachelor’s degree
Eligibility
Candidates with a bachelor’s degree in a relevant quantitative, business, analytics, or computer-related discipline may apply.
Resume
Required to apply

Where you'll work

ജോലി വിവരണം

Role overview

Join the business team as a Data Analyst focused on turning operational and functional data into practical guidance for better decisions. The role involves gathering, examining, and interpreting information from across the organization to uncover patterns, highlight risks and opportunities, and support planning and strategy.

What you will do

  • Build a clearer view of business performance by preparing reports, dashboards, and visual displays that track key metrics and trends.
  • Study large and varied datasets to spot inefficiencies, improvement opportunities, and areas that may need attention.
  • Maintain a high standard of data quality by checking that information remains accurate, consistent, and dependable.
  • Work closely with different teams to understand business goals and translate reporting needs into analytical deliverables.
  • Support forecasting, performance tracking, process enhancement, and ongoing improvement efforts.
  • Use insights from data to contribute to stronger operational outcomes and sustainable business growth.

Qualifications

A bachelor’s degree in one of the following or a closely related discipline is expected: Business Analytics, Data Analytics, Statistics, Mathematics, Economics, Business Administration, Information Systems, or Computer Science.

Required capabilities

  • Strong analytical thinking, problem-solving, and attention to detail.
  • Comfort with spreadsheets, reporting tools, data analysis platforms, and visualization software.
  • Working knowledge of SQL, database fundamentals, business intelligence tools, statistical methods, and data handling practices is a plus.
  • Ability to explain complex findings in a simple way for both technical and non-technical audiences.
  • Good organization and time management skills with the ability to balance several priorities and deadlines.
  • Understanding of forecasting, performance measurement, BI frameworks, data governance, process improvement, and decision-support systems is highly useful.

Additional information

This is a full-time onsite role based in Melbourne, Victoria, Australia. No salary details, start date, application deadline, or number of openings were provided in the source.

Note

The position is centered on data-driven decision support for business performance, operational excellence, and continuous improvement.

മറുപടി വേണമെങ്കിൽ അത് വിടുക — ഞങ്ങൾ അത് മറ്റൊന്നിനും ഉപയോഗിക്കില്ല.

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