Data Analyst

• Work independently with minimal supervision
• Take ownership of discovery and analysis activities
• Drive requirements capture and validation directly with business stakeholders
• Produce high-quality analytical artefacts suitable for immediate consumption by development teams
• Support delivery velocity without creating additional mentoring overhead for existing squad members

• Supporting the Product Manager in delivering complex PAS data integrations: collaborating on the product design, defining and verifying transformation logic with Operations and customers, overseeing implementation of validation rules and reconciliations for the transformation of Class or equivalent systems’ data into the PAS universal format.
• Data governance and accuracy: ensuring data integrity, timeliness and completeness is a critical responsibility - including contributing to the development and implementation of appropriate tools and alerting systems, and an understanding of what will drive productivity for our customers and support teams when troubleshooting data issues.
• Stakeholder and cross-functional team collaboration: attending customer meetings for new integrations, managing internal and external stakeholder expectations, working closely with SMEs and technical leads to ensure alignment on product requirements and target state, supporting the Business Analysts in the writing and refinement of user stories, working with QA to perform UAT, and being available as an SME on Class and other integrations with PAS for development and other business teams.
• Hands-on delivery support and issue triage: embedding with the development team to proactively identify, diagnose and resolve data transformation and mapping issues, drive triage (root cause analysis, prioritisation and clear action owners), and partnering with Operations to manage incidents, communications and remediation through to resolution.
• Compliance and security oversight: ensuring compliance with internal and external data handling standards, secure access and role-based permissions for reporting tools, and IT governance frameworks.

Product Portfolio Data Analyst, Accounting

• Managing and optimizing demand forecasting, supply planning, inventory management, and backorder mitigation.
• Supporting the ACM Operating Unit’s (OU) operational and commercial objectives.
• Ensuring forecasting process is aligned and transparent among Planning, Marketing, and Sales teams.
• Creating demand trends and monitoring supply constraints.
• Aligning with cross-functional stakeholders as necessary.
• Driving operational excellence by providing data-driven insights and enabling visibility of supply-demand alignment.
• Collaborating with Sales, Marketing, Local Planning, and Global ACM Operation teams for accurate forecasting and inventory planning.
• Supporting the business in anticipating supply gaps that trigger mitigation plans.
• Acting as a central point of contact for demand and supply-related escalations and supporting the Marketing team with informed decision-making through timely analytics.
• Ensuring consistent execution of operational practices that deliver measurable value to Sales and Marketing teams.

Supply & Demand Analytics Specialist

• Build and maintain intuitive, reliable dashboards (primarily using SQL and Tableau) that track performance across key metrics.
• Dive into data to help teams across Mable understand what’s happening—and *why*.
• Partner with product managers, operations, and other stakeholders to explore opportunities and inform decisions.
• Identify and solve real-world problems through structured analysis and compelling storytelling.
• Design new reports and uplift existing ones, helping operations teams move toward self-service insights.
• Stay close to product and business developments, outlining data implications for new features and processes.
• Ensure all analysis aligns with Mable’s privacy and security policies.
• Contribute to a collaborative, feedback-rich analytics culture, learning from your peers!

• Lead the development and enhancement of APA's in-house gas and electricity market forecasting models, including long-term energy transition scenarios.
• Deliver strategic market intelligence and quantitative analysis to support corporate strategy, investment decisions and organic growth opportunities.
• Present clear, compelling insights and recommendations to senior leaders, Executive Leadership Team and Board-level audiences.
• Identify emerging market trends, risks and opportunities across energy commodities, customer demand, competitor activity and regulatory developments.
• Build and maintain strong relationships with key internal stakeholders, including Energy Solutions, Corporate Finance, Climate, Investor Relations and Corporate Communications teams.
• Manage external engagements with industry advisors, market bodies and stakeholders to ensure APA's market outlooks remain contemporary and market leading.

Manager, Market Research & Analytics

• Supporting the AIG APAC insurance business, working as a member of the APAC actuarial team to drive reserving transformation and deliver data-driven insights that support strategic initiatives
• Modernize local regulatory reporting processes for AIG's Australia and New Zealand offices through automation and data integration
• Quarterly valuation, solvency calculations and IFRS 17 disclosures
• Quarterly Board and Risk committee reporting
• Annual Insurance Liability Valuation Report and Financial Condition / Stress Testing Report
• Coordinate and streamline US GAAP quarterly management reporting requirements with the regional tower leads
• Assist in supporting strategic portfolio reviews and deep dive analyses of certain business segments within APAC
• Review of capital projections and investment strategies including ALM (“Asset Liability Matching)
• Provide support to the budget loss ratio exercise and annual financial planning
• Assist in other ad-hoc analyses as required

Reserving & Analytics Analyst, APAC

• Lead reform and change initiatives, including the design, implementation and embedding of policy, strategy and governance frameworks in a complex, multi stakeholder, government environment
• Develop and deliver enterprise-wide data strategies, including initiatives to lift data maturity and data literacy and driving organisational change
• Oversee the design, development, and maintenance of scalable data pipelines and infrastructure, including transition from on premise systems to modern cloud data platforms
• Build and maintain effective partnerships across business areas and enhance the reputation of the Data, Business Operations and Technology Branch
• Lead a multi-disciplinary team of data analysts and engineers to translate complex data into actionable insights and business strategies
• Manage data collection, governance and modelling, ensuring data integrity, compliance and privacy requirements are met
• Provide strategic advice and present data-driven insights to executives to inform decision-making
• Manage procurement, vendor engagement and contract performance to achieve value‑for‑money outcomes
• Manage and coordinate the section’s budget and resources to support the timely delivery of high-quality outputs
• Lead, coach and mentor a geographically dispersed team, providing clear direction and fostering a collaborative, high performing culture.

NEMA Director, Data Analytics

• Support the delivery of the end-to-end data lifecycle - capture, storage, transformation, modelling, materialisation and insight. Establishing the foundations the insurance business runs on.
• Be hands-on in the delivery of data assets and products across data capture, pipelines, reporting and analytical/statistical models. Collaborating with business and technical subject matter experts to deliver best in class assets and products.
• Support the selection of, and development of a fit for purpose data architecture and tooling (cloud platform, warehouse, orchestration and business intelligence).
• Support the delivery of a fit for purpose data governance and controls framework aligned to applicable regulation so data is trusted, compliant and audit-ready.
• Translate underwriting, pricing, claims and operational questions into analysis and models that measurably improve decisions across the business.
• Collaborate with business subject matter experts to build out the reporting, semantic layer and self-serve insight layer so leaders and operators across SafetyCulture Care can answer their own questions.
• Embed artificial intelligence and machine learning (AI/ML) into core insurance workflows in partnership with actuarial, underwriting, product and engineering.
• Support the growth of a geographically and diverse skilled data team across governance, engineering, analytics, data science and automation.

Manager, Data Analytics

• Own and deliver contractual, operational, and service delivery reporting outputs, ensuring all obligations are met accurately, on time, and across defined reporting cadences (daily, weekly, monthly, and ad-hoc)
• Execute and manage end-to-end reporting processes and data pipelines, including data extraction, transformation, validation, reconciliation, and secure delivery, while ensuring performance, scalability, and reliability
• Build and enhance scalable reporting solutions, dashboards, and analytics workflows, applying strong data quality, reconciliation, and assurance practices to maintain accurate, complete, and audit-ready reporting outputs
• Monitor reporting pipelines and workflows to identify and resolve issues, including contributing to incident investigation, root cause analysis, and remediation
• Work closely with stakeholders to ensure reporting aligns to service performance, contractual commitments, and customer expectations
• Ensure reporting outputs adhere to governance, data quality, and controlled data handling requirements, particularly within secure and regulated environments
• Prepare and present insights that support operational and service delivery decision-making, while maintaining a strong focus on accuracy and consistency
• Support automation and AI-assisted analytics initiatives to improve reporting efficiency, insight generation, and operational performance
• Contribute to the evolution of reporting capability through automation uplift, platform transition, and modern analytics approaches
• Identify opportunities to improve reporting scalability, efficiency, and resilience across existing processes
• Develop and maintain documentation, runbooks, and standard operating procedures to support consistent delivery and reduce single points of failure
• Support onboarding of new reporting requirements, customer needs, and platform changes, ensuring continuity of service.

Data Insights & Analytics Analyst

• Engage with business stakeholders to gather and translate data requirements into testable acceptance criteria and quality checks within the Data Squad
• Design and build scalable pipelines and data models that support data quality, reconciliation, and trusted insight generation within the Data Squad
• Own and evolve the data stack with a focus on data quality and testing practices, supporting platform delivery (e.g. dbt, SQL, Python, orchestration, reconciliation, validation, observability)
• Ensure high standards of data accuracy, integrity, and reliability — especially during platform migration and implementation in a Medallion architecture
• Develop and maintain robust documentation, schema management, and lineage tracking to ensure transparency and traceability
• Forming a deep understanding of our data processes and helping to improve them through implementing best practices
• Staying on top of any failures and issues in our data systems, troubleshooting, proposing improvements and implementing fixes

• Tackle complex business challenges by designing smart approaches and applying data-driven analysis to solve them.
• Dive into exploratory analysis to uncover trends, generate insights, and test hypotheses.
• Go beyond the “what” by uncovering the “why” and explaining what it all means for the business.
• Build dashboards that keep key metrics and performance at everyone’s fingertips.
• Assess new product features and operational changes through rigorous split testing, showing what truly works.
• Translate data and insights into compelling stories that resonate with non-technical audiences.
• Collaborate closely with product managers, engineers, UX designers, and business teams to shape decisions and solutions.
• Experiment with rapid prototypes for data science services, and partner with Data Engineers to bring them to life at scale.
• Define the data implications of new product features before they launch.
• Keep privacy and security at the core of everything you do.

Senior Data Analyst

• Sales analytics and insights generation by leveraging data, technology tools and AI to uncover trends, opportunities, risks, growth areas, and performance drivers.
• Reporting and dashboard development that enable visibility and decision making.
• Provision of support in the effectiveness and governance of core sales processes.
• Provision of support in sales planning, performance reviews, and operational cadences.
• Maintenance of CRM data integrity and contributing to process improvement initiatives.
• Actively cross collaborate with other functional teams including finance, marketing, and operations.

Data Analyst jobs in Australia

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Data Analyst

Product Portfolio Data Analyst, Accounting

Supply & Demand Analytics Specialist

Data Analyst

Manager, Market Research & Analytics

Reserving & Analytics Analyst, APAC

NEMA Director, Data Analytics

Manager, Data Analytics

Data Insights & Analytics Analyst

Data Analyst

Senior Data Analyst

Sales Data Analyst