Location & Timing
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 solid 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.
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📌 Analytics Engineer/ Data Analyst
🏢 PayTech Nexus
📍 City of Sydney