To become number one for customer serviceData and analyticsFull-timeOffice | Sydney, NSW, AustraliaMid Level · A role for someone with some well-developed knowledge and skills they can bring to the role and team. Typically within 2-5 years of experience.Applications close in 16 hours · Posted 25 SeptemberWestpac is Australia's oldest bank and company, one of four major banking organisations in Australia and one of the largest banks in New Zealand. We provide a broad range of banking and financial services in these markets, including consumer, business and institutional banking and wealth management services.About the roleHow will I help? As a lead data analyst, you will collaborate with multiple Lines of Business to identify opportunities for leveraging data, advancing the organisation's data agenda, and mitigating risks within the UNITE program. You'll manage data governance activities, ensuring appropriate controls are in place while driving data change initiatives and delivering key insights on customer impacts. Additionally, you'll build strong relationships.What you'll be responsible forExtract and clean data ready to use in analysis or to usersAnalyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisionsCreate and maintain the organization's Business Intelligence tools, and present complex data in simple, visual ways for key stakeholdersSkills you'll needIdentifies and applies strategies to enhance reception, retention, and use of newly acquired information, skills, and abilitiesNumerical problem solvingWorks with numerical information and performs mathematical calculations to solve problemsAccurately identifies and rectifies discrepancies or errors that exist in information and deliverablesMeet the teamData Client Analytics TeamWestpacThe Westpac DataX team supports our customers solve real-world problems with next-generation data products. Presales: Including but not limited to strategic insights and data visualisation; Onboarding: Building client data pipelines, including data cleansing and data visualisation dashboards.
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