Analytics Engineer/ Data Analyst

1 week ago

Sydney, New South Wales, Australia Paytech Group Full time

Overview
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.
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.
Technical Skills
Key Skills & Experience
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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