Top Data Analyst Jobs in Sydney

Analyze data from problem definition through recommendations, develop dashboards and analytical models, maintain data quality and governance, and partner with stakeholders to support strategic, operational, and regulatory decisions. The role also contributes to data operations, coaches junior analysts, and communicates complex findings to senior non-technical audiences.

Maintain and validate asset data across a government facilities portfolio. Responsibilities include asset onboarding and offboarding, data audits, database uploads, reporting and dashboard preparation, maintenance schedule support, documentation audits, vendor and contractor data amendments, anomaly escalation, and process improvement. The role also supports stakeholders and colleagues with asset data processes and requires strong Excel, Power BI, reporting, organizational, and communication skills.

Maintains product, pricing, inventory, restaurant, and POS master data across Hungry Jack’s systems. Responsibilities include configuring products and pricing, supporting restaurant openings, coordinating pricing updates, managing POS items and inventory costings, developing data controls, analyzing process improvements, resolving system and data queries, and supporting system integration projects. The role requires strong analytical ability, attention to detail, process discipline, communication skills, and proficiency with business systems and Microsoft Office.

Analyze Dynatrace Digital Experience data for major clients, translating complex performance and user-engagement data into actionable business insights. Manage relationships with 8+ accounts, lead customer meetings, produce reports and dashboards, configure Dynatrace offerings, conduct ad hoc analyses, provide training, and represent client needs internally. The role also supports process improvements and requires fluent English and Japanese communication for the Japan market.

Leads cross-functional special projects involving air network planning, scheduling, airline partner performance, and operational analytics. Develops optimization models, analytical frameworks, automation tools, scripts, and lightweight products to improve routing, capacity allocation, scheduling efficiency, and planning workflows. Partners with engineers, operations teams, and management to implement solutions, establish best practices, and scale innovative approaches across the organization.

Develops automated P&L reporting and trading analytics using real-time financial data. Responsibilities include analyzing execution patterns, slippage, and market impact; optimizing ClickHouse SQL queries; defining trading KPIs; monitoring data quality and compliance; building Python automation scripts; and designing data models for high-frequency reporting. The role requires finance or fintech experience, advanced SQL, Python, visualization skills, and the ability to communicate findings to technical and non-technical stakeholders.

Analyze crypto portfolio and market data, build dashboards and reports, monitor asset performance, automate data workflows, ensure data integrity, and present actionable insights to finance, investment, and other stakeholders.

Analyzes supporter behavior, fundraising performance, campaigns, retention, and lifetime value to identify actionable growth opportunities. Maintains data quality, dashboards, reports, visualizations, and audience segmentation while supporting predictive analysis and business intelligence improvements across Salesforce and other fundraising systems. Partners with stakeholders to translate complex data into clear recommendations and promote data-driven decision-making.

Supports HR reporting, workforce analytics, compliance, policy alignment, HRIS and ATS migration, cultural integration, manager training, and generalist employee lifecycle processes. Produces recurring workforce reports, analyzes trends, validates HR data, assists with recruitment, onboarding, performance management, offboarding, documentation, and employee guidance across multiple geographies.

Analyze utility customer data, build dashboards and visualizations, deliver bespoke analyses, validate outputs, and communicate insights to technical and non-technical stakeholders. Support customer delivery by partnering with power engineers and data engineers, troubleshoot data issues, and help translate recurring analyses into product features. Contribute to documentation, playbooks, tooling, and automation that improve analytics delivery.

Lead data-focused business analysis for data platform, data product, and governance engagements. Act as the customer proxy, investigate and validate data using SQL, interpret models and mappings, and translate business needs into technical requirements. Facilitate workshops, define acceptance criteria, support prioritization and UAT, and produce clear documentation. Partner with technical leads to shape solutions and apply a data product perspective focused on outcomes, value, and delivery.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

Interns will work alongside analysts, collecting and cleaning sports data, analyzing trends, and gaining insights into the sports consultancy industry.

Owns end-to-end product, growth, subscription, and commercial analytics. Responsibilities include defining metrics, improving instrumentation and data quality, analyzing customer behavior and retention, reconciling subscription data, building executive dashboards, supporting experimentation, and translating findings into recommendations. The role requires advanced SQL, BigQuery, Python, and stakeholder communication skills, with additional exposure to product analytics, SaaS, mobile subscriptions, e-commerce, AI features, and statistical analysis valued.

Deliver and own operational reporting, dashboards and ad-hoc analysis using governed data. Partner with stakeholders to translate business questions into insights, ensure data quality, documentation, and apply data governance in an Agile environment.

Maintain and build SQL-based reports and dashboards, debug data pipelines, validate joins and business logic, own recurring reporting cycles, develop dbt models and documentation, handle stakeholder requests, and support exploratory analyses and analytics engineering tasks.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.