Westpac

Senior Data Insights Analyst

To become number one for customer service

  • Data and analytics

  • Full-time

  • Office | Sydney, NSW, Australia

  • Visa sponsorship · No

  • Senior · A role for someone with advanced knowledge and skills. May involve mentoring, leading others or specialisation. Typically at least 5 years of experience.

  • ·

Why Westpac

Westpac 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 role

You’ll play a significant part of the future of a business that has been around for 200 years. Our purpose is creating better futures together. So, we’ll back you in the development of your career, internal career prospects, and flexible working. You’ll also keep learning to grown, backed by a fantastic team of people with a can-do, supportive structure. Whatever shape your family takes, we offer generous paid and unpaid parental leave for your nominated primary and support carers. This includes leave to organise adoptions, surrogacy, and foster care arrangements. And we continue to pay your super contributions while you take all the time you need to get your new family settled.

What do I need?

  • Bachelor or post graduate qualification in Computer Science, Mathematics, Economics or Statistics preferred.
  • Provide service excellence by driving value through effective partnering with the Customer Solutions business to deliver on their business requirements.
  • Solid experience in working with unstructured/semi-structured data, creating and maintaining dashboards, datasets and reports for business stakeholders, experience in using AI/ML techniques to deliver commercial outcomes.
  • Technical proficiency in the below domains:
  • analytics, big data and data science platforms, tools (not limited to) - Coding: Python, R, SQL Teradata, SAS, C++ or other
    • Cloud & Big Data: Azure/AWS/GCP, Spark, HBase, HDFS
    • Visualisation and/or front-end application development: Superset, Bokeh, Plotly, Matlibplot, Seaborn; Power BI, Tableau, Qliksense/Qlikview; React.js, Vue.js
    • Statistical and mathematical understanding in model building, and trade-offs (Supervised, unsupervised, semi-supervised and reinforcement learning; candidates with NLP experience highly preferable)
    • Technical solution design: ability to convert business problem into technical specifications

     

  • Experience in Knowledge management (version control, attention to detail to document operating procedures, and document technical requirements and design)
  • Experience in collaborating with cross functional teams to deliver outcomes for business stakeholders. 
  • Ability to present and communicate to both technical and business stakeholders

 

What you'll be responsible for

  • 📶

    Data Analysis and Reporting

    Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions

  • Stakeholder Engagement

    Partner with stakeholders to understand specifications, business requirements, and communicate insights

  • 📊

    Data Management and Visualization

    Create and maintain the organization’s Business Intelligence tools, and present complex data in simple, visual ways for key stakeholders

Skills you'll need

  • 🧮

    Numerical problem solving

    Works with numerical information and performs mathematical calculations to solve problems

  • 🔍

    Attention to detail

    Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables

  • 💡

    Problem solving

    Identifies problems and develops logical solutions that address the problems

Meet the team

Avatar
Data Client Analytics Team

Westpac

The 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