Analytics Engineer

Vor 6 Tagen

Council of the City of Sydney, Österreich PayTech Nexus Ltd Vollzeit

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 Macquarie's 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. Key Skills Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics Employment Type : Full Time Experience : years Vacancy : 1 #J-18808-Ljbffr

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