Wing
Junior Data Analyst
WingAustralia6 days ago
Full-timeInformation Technology
Job Responsibilities

  • Act as the custodian of all reporting and MIS frameworks for the bank’s retail and CVM functions.
  • Own the accuracy, consistency, and reliability of customer, portfolio, and product performance data.
  • Ensure timely delivery of daily, weekly, and monthly reports to senior management and stakeholders.
  • Develop and enforce data validation protocols to maintain report integrity across systems.
  • Design, build, and maintain interactive Power BI dashboards for leadership visibility and decision-making.
  • Automate performance reporting and ensure data is accessible in real time across departments.
  • Train and support business teams in interpreting and using Power BI dashboards effectively.
  • Partner closely with Data Warehouse, IT, and Data Analytics teams to ensure seamless data integration and quality assurance.
  • Define and document data pipelines, refresh cycles, and reporting hierarchies.
  • Collaborate on development of new data sources, KPIs, and analytical models.
  • Act as the bridge between business users and technical teams, ensuring alignment on data definitions and reporting requirements.
  • Regularly validate segment and portfolio data to ensure accuracy in reporting and campaign targeting.
  • Maintain data dictionaries, KPI definitions, and reporting templates.
  • Support Retail, CVM, and Product teams with custom analyses and ad-hoc reporting for strategic decision-making.
  • Present insights to management highlighting customer trends, behavioral shifts, and performance opportunities.


  • Job requirements

    • 1-2 years of total work experience in Data Analytic.
    • Understanding of basic Project management tools like GANT charts.
    • Experience in designing and optimizing lifecycle journeys for user retention.
    • Understanding of DB & Reporting tools like & Power BI/DBeaver/Tableau.
    • Experience working cross-functionally with product, data, and creative teams.
    • Proficiency in Analytics Skill.
    • Advanced Microsoft office tools foundations (Power BI /Excel/Power point).
    • Familiarity with segmentation, personalization.
    • SQL Language.

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