Data Solutions Analyst

**Data Solutions Analyst #52146
- Permanent opportunity.
- Location, Sydney.Hybrid working arrangements.

**How will I help?**

Westpac Group has a rich heritage and offers employees a multitude of opportunities. We aim to attract the best people inside and outside of the business - building an organisation where the best talent thrives.

Westpac Institutional Bank ( **WIB **) manages the financial needs of corporate, institutional and government clients that are based, or have interests in, Australia and New Zealand. The WIB Digital team is responsible for enabling the Digital Strategy by delivering new digital capability to our relationship managed customers and internal facing teams.

Westpac **DataX **draws on the power of Westpac data to create next generation data products that solve real world problems for our business and institutional customers.

**How will you contribute?**

As a Data Solutions Analyst, you are responsible for understanding the needs of customers and potential customers, and managing data analytics solutions across the customer lifecycle, including pre-sales, onboarding, delivery management, retention and strategic consulting.

This role will support the pre-sales process, working directly with potential clients to understand their needs and design solutions, and in addition work with the analytics team to build and deliver data products for customers.

**Key accountabilities of the position are as follows**:

- Contribute to successful sales engagements with prospective clients by articulating the Westpac DataX proposition and how it can be used to solve client problems for client meetings.
- Work with the Director, Data Solutions to manage pre-sales and onboarding activities including preparation of client packs, demonstration files and sample insights, recording meeting notes and preparing contracts, and managing the sales pipeline.
- Work 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 optimise outcomes for customers
- Maximise 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 visualisations.
- 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 optimise the manufacturing process to ensure scalability and automation.
- Effectively prioritise and manage competing priorities in an organised and structured manner.
- Adhere to compliance and governance standards.

**What is in it for me?**

You will play a significant part of the future of a business that has been around for over 200 years. Our purpose is to create better futures together. So, we will back you in the development of your career, internal career prospects, and flexible working.

You will also keep learning to grow your career, 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.

All roles at Westpac Group can be considered for flexible working arrangements, such as flexible hours, working remotely, part time work, or job sharing.

**What do I need to succeed?**
- Tertiary qualifications in Computer Science or a related technical field.
- Solid experience to date in a similar technical analytic 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.
- Working closely with team members within a dynamic environment.
- 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 whilst working within agile environments and associated software and tools (e.g. Confluence, JIRA and Bitbucket).
- Creating quality documentation and performance of