Senior Data and Insight Analyst at Allianz Global Corporate & Specialty SE

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Discovery, Data Analysis, Data Transformation, SQL, Python, Power BI, Data Architecture, Data Modelling, CI/CD Pipelines, Data Quality, Stakeholder Management, Collaboration, Emerging Technologies, Data Governance, Machine Learning, Data Products

Industry

Financial Services

Description

SENIOR DATA AND ANALYTICS SPECIALIST – DATA AND ANALYTICS - SYDNEY At Allianz, we’re proud to be named one of the Best Workplaces in Australia 2025 and a Great Place to Work. As a leading global insurance and asset management brand, we prioritise care for our customers, the planet, and each other. We hire the very best people to further our commitment to caring and securing the future for our customers. We offer an inclusive workplace where everyone feels like they belong, while promoting a culture of lifelong learning, development, and global mobility. Join us and share your ideas, be inspired, give back to the community and feel proud to be a part of an organisation doing meaningful work that matters while supporting sustainability, mental health, and well-being. Let’s care for tomorrow, so we can create a better future together, for everyone. About the role In this role, you’ll help design, build, and evolve high-quality data products that power analytics, automation, and innovation across the organisation. You’ll work end-to-end, from data discovery and analysis through to transformation, modelling, and delivery, creating trusted, reusable, and discoverable semantic data models and data assets that enable smarter, faster decisions. Partner with business and technology stakeholders to translate strategic priorities into data products solutions that deliver measurable value. Lead data discovery, profiling, and analysis activities to understand data sources, quality, and relationships across systems. Build and enhance data products, including semantic data models and curated datasets that are trustworthy, reusable, discoverable assets that serve analytical, operational, and machine learning use cases, using SQL, and Python. Implement and maintain data quality rules, validation checks, and monitoring controls to ensure data accuracy, completeness, and consistency. Implement and improve best practices for version control, testing, and CI/CD in the data product development workflow Collaborate with engineers, analysts, and data stewards to ensure data products meet standards for governance, quality, security, and interoperability. Mentor team members and champion a product mindset — treating data as an asset with clear ownership, purpose, and lifecycle. About you 8+ years’ experience in analytics engineering, data engineering, or BI development roles within enterprise or complex data environments. Strong technical expertise in data discovery, analysis and transformation using SQL, Python, Power BI Strong understanding of data architecture/modelling principles, eg medallion architecture, data vault Experience implementing CI/CD pipelines for data workflows Experience with modern data platforms and tooling (e.g., Databricks, Snowflake, Azure). Proven experience in implementing data quality rules and controls Proven ability to shape and deliver data products that drive business insight, efficiency, and innovation. Excellent communication and stakeholder management skills — able to translate data complexity into clear, actionable insights. A collaborative and proactive mindset — focused on driving reusability, trust, and impact across the organisation. A passion for leveraging emerging technologies to stay ahead in a rapidly evolving digital landscape.

Responsibilities

Design, build, and evolve high-quality data products that power analytics and innovation across the organization. Partner with stakeholders to translate strategic priorities into data product solutions that deliver measurable value.