Insight Analytics with Python

4 weeks ago

Council of the City of Sydney, Australia Hastha Solutions Full time

Overview

Sydney, Australia | Posted on 09/12/2025

Urgent requirement of Insight Analytics with Python & R Skills, SQL - Contract - Sydney

Responsibilities

- Collaborate in cross-functional Scrum teams with Product, Analytics and BB Remediation to leverage the Group's data assets, review risk issues and support end-to-end remediation of business customers
- Develop analytical solutions using SQL, Python and R to improve risk-based outcomes for stakeholders
- Automate data analytics across large datasets to identify customers requiring remediation and estimate financial impact
- Deliver to deadlines by managing multiple priorities in a fast-paced, agile environment
- Design data solutions to record remediation payment records
- Present analytical insights to stakeholders up to General Manager level to advise business partners with data
- Translate complex business requirements into technical briefings, analytical processes and outcomes potentially subject to external regulator review
- Support peers with quality assurance (QA) reviews
- Lead customer projects and initiatives by liaising with analytical and non-analytical business partners across the department
- Design and implement continuous improvements that optimise remediation accuracy and effort, including regulatory changes, ensuring compliance with standards
- Foster a positive team culture that encourages innovation, accountability and continuous improvement

Key Skills

- Risk Mindset – Proactively identify and understand risks; openly discuss and act on current and future risks
- Data & Analytics – Advanced analytical, numerate and logical reasoning skills to drive business results using complex data and analytics
- Stakeholder Management – Translate complex concepts into simplified messages for senior leaders
- Commercial Acumen – Plan and manage multiple time-critical projects with an understanding of business value, prioritisation and decision making
- Required experience –

Required Experience

- Minimum 2+ years in Data Analytics or similar (e.g., actuarial, pricing, or credit risk)
- Proven experience with SQL to extract data from complex datasets
- Experience using data-driven analytics to develop dashboards, insights and recommendations
- Ability to understand complex problems and apply a structured, data-driven approach to solve them
- Experience with analytical tools/platforms such as R, Python and/or GitHub is preferred
- Knowledge and experience in Banking (customers, products, systems, processes) is preferred
- Experience with Agile tools and methodologies is preferred
- Degree in a relevant discipline (Actuarial, Statistics, Maths, Economics, Engineering or Sciences)

Duration: 06 months and possible extension

Eligibility: Australian/NZ Citizens/PR Holders only

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