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Data Solutions Analyst

2 months ago


Sydney, New South Wales, Australia Westpac Institutional Banking Full time
About the Role

We are seeking a highly skilled Data Solutions Analyst to join our team at Westpac Institutional Banking. As a Data Solutions Analyst, you will play a critical role in understanding the needs of our customers and developing data analytics solutions to meet their needs.

Key Responsibilities
  • Contribute to successful sales engagements with prospective clients by articulating the Westpac DataX proposition and how it can be used to solve client problems.
  • Work with the Director, Data Solutions to manage pre-sales and onboarding activities, including preparation of client packs, demonstration files, and sample insights.
  • Collaborate with Westpac WIB and Business Bank relationship teams to deepen their knowledge of the DataX product and identify opportunities with clients.
  • Work with the Analytics team to build analytics products that deliver business insights and optimize outcomes for customers.
  • Maximize the value of a customer engagement via analytics capability and a deep understanding of the client use cases.
  • Feed back learnings from client engagements to drive product ideation and product-market fit.
  • Continuously strive to enhance the customer experience, whether that's by the cadence and format of direct engagements, the simplicity of the data feeds, or the usability of the interactive visualizations.
  • Uphold the highest data integrity standards, including all aspects of data governance (e.g. privacy).
  • Proactively identify any data consistency or integrity concerns and work with the Head of Analytics to resolve.
  • Contribute to quality uplift and the identification of best practice methodologies across documentation, underlying codebase, QA processes, and the delivery of quality output to customers.
  • Support operational efficiency by finding opportunities to enhance and optimize the manufacturing process to ensure scalability and automation.
  • Effectively prioritize and manage competing priorities in an organized and structured manner.
  • Adhere to compliance and governance standards.
What We Offer

We offer a dynamic and supportive work environment, with opportunities for career growth and development. As a Data Solutions Analyst, you will have the opportunity to work with a talented team of professionals, develop your skills and expertise, and contribute to the success of our business.

We are committed to creating a culture that values diversity, inclusion, and flexibility. We offer a range of benefits, including flexible working arrangements, professional development opportunities, and a comprehensive rewards package.

Requirements
  • Tertiary qualifications in Computer Science or a related technical field.
  • Solid experience to date in a similar technical analytics function within the data domain.
  • A natural ability to talk and walk technology and data, combined with savvy commercial awareness and passion for client centricity.
  • Applying a passion for data-driven transformation generating strong financial returns and creating competitive advantage for customers.
  • Working closely with team members within a dynamic environment.
  • Performing data analysis for use in end-products and applying a natural curiosity and learning on the job.
  • Data sourcing, ETL, data pipeline processes (including from enterprise data warehouses).
  • Management of large datasets to ensure integrity, quality, performance, and accuracy of data for analysis.
  • Maintaining existing analytical solutions while working within agile environments and associated software and tools (e.g. Confluence, JIRA, and Bitbucket).
  • Creating quality documentation and performance of precise QA checks.
Preferred Qualifications
  • Financial Services industry experience (including banking and payments-related data).
  • Managing a sales process with external clients.
  • Big Data Platform (Hortonworks, Dataiku, Waterline).
  • Cloud Data Platform implementations in Azure & Azure certifications.
  • Development, design, and build of analytical solutions and models – including statistical modeling, machine learning methods, and complex data manipulation.