Data Analytics Manager

3 days ago

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

We are seeking a highly skilled Data Analytics Manager to join our team at Westpac. As a key member of our DataX Analytics team, you will be responsible for delivering data analytics services across the customer lifecycle, including pre-sales, onboarding, delivery management, retention, and strategic consulting.

Key Responsibilities
  • Design and Implement Data Solutions

Develop and implement data solutions that deliver business insights and optimize outcomes for customers.

Maximize Customer Value

Maximize the value of customer engagements through advanced analytics capabilities and a deep understanding of client use cases.

Drive Product Ideation

Feed back learnings from client engagements to drive product ideation and product-market fit.

Enhance Customer Experience

Continuously strive to enhance the customer experience through the cadence and format of direct engagements, the simplicity of data feeds, and the usability of interactive visualizations.

Uphold Data Integrity

Uphold the highest data integrity standards, including all aspects of data governance, such as privacy.

Support Sales Engagements

Contribute to successful sales engagements with prospective clients by supporting the articulation of client use cases for the Westpac DataX proposition in client pitch meetings.

Identify Data Concerns

Proactively identify any data consistency or integrity concerns and work with the Head of Analytics to resolve.

Contribute to Quality Uplift

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

Support operational efficiency by finding opportunities to enhance and optimize the manufacturing process to ensure scalability and automation.

Requirements
  • Education

Graduate or post-graduate qualifications in computer science or a related technical field.

Experience

3+ years of experience in the data domain, including leading solution development within a data and analytics context.

Technical Skills

Programming languages: SQL, Python, and/or R (Python preferred). Experience with complex SQL joins and SQL tuning. Databases: Teradata, HIVE SQL, and other RDBMS systems. Visualisation and BI tools: Tableau, PowerBI. Advanced Excel skills.

What We Offer

We offer a collaborative team environment, competitive remuneration, and a wide range of employee benefits to help you manage your priorities. Join us and shape your career path through personalized upskilling, mentoring, and training opportunities. As an equal opportunity employer, we value diversity and flexibility and champion inclusion.

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