Analytics Engineer/ Data Analyst

Location: Sydney, Australia
Timing: Immediate / ASAP

Term- 12 months (220 days capped)

About the Role

We are seeking an Analytics Engineer / Data Analyst to join the data and analytics team. This role focuses on building robust data pipelines, curating and structuring data for business use, and enabling self-service analytics through platforms like ThoughtSpot and Tableau. The ideal candidate will have a strong mix of technical data engineering skills, business acumen, and stakeholder engagement capability.

Key Responsibilities

Data Engineering & Pipelines:

• Design, develop, and maintain SQL-based data pipelines to ensure data is accurate, timely, and ready for analytics consumption.
• Curate and structure data for business reporting and self-service analysis (ThoughtSpot, Tableau).
• Ensure high data quality, governance, and alignment with regulatory and compliance requirements (e.g., APRA, RBA). 

Analytics & Reporting

• Develop and maintain portfolio-level and customer-level reports across debit cards, savings accounts, and transaction accounts.

• Conduct RBA data analysis, QMR reporting, and market share assessments.
• Deliver insights into customer attributes, transaction behaviors, and portfolio performance.
• Support ad-hoc analysis such as customer segmentation or clustering to deepen understanding of Macquaries retail banking customers. 

Business Engagement

• Work closely with business stakeholders to translate requirements into data models, dashboards, and curated datasets.
• Provide guidance on structuring data for reporting and business decision-making.
• Collaborate with product and portfolio managers to ensure analytics aligns with strategic priorities.
• Act as a bridge between business and technology teams, enabling data-driven decisions.

Key Skills & Experience

Technical Skills

• Strong SQL skills with experience in building pipelines and data models.
• Hands-on experience with data visualization & BI tools ThoughtSpot or Tableau preferred
• Knowledge of data modelling techniques and best practices.
• Exposure to large datasets and financial/banking data environments. 

Analytics Skills

• Experience in portfolio reporting (QMR, debit card statistics, RBA analysis).
• Ability to perform customer-level analysis (segmentation, profiling, transaction behaviors).
• Experience in curation of datasets for self-service analytics. 

Business & Soft Skills

• Strong communication and stakeholder management skills able to guide business users on requirements.
• Ability to translate business questions into structured analytics solutions.
• Collaborative and proactive, with a problem-solving mindset.

Desirable

• Banking / Financial Services experience (especially debit, savings, and transaction accounts). 
• Familiarity with customer attributes and behavior analytics in retail banking. 
• Knowledge of APRA/RBA reporting requirements. 
• Experience in data governance, quality, and compliance.