Top Data Analyst Jobs in Sydney

Analyze water and wastewater operational and customer data to identify trends, improve asset and network performance, minimize customer impacts, and support predictive maintenance. Build dashboards, reports, and data solutions while partnering with operational teams and delivery partners. Support SCADA, IoT, GIS, and advanced analytics technologies, translating complex data into practical recommendations for continuous improvement and operational decision-making.

Analyze high-volume telecommunications network data using SQL and Python, build Power BI and Tableau dashboards, automate reporting, and deliver stakeholder-facing insights. Monitor network KPIs across 2G, 3G, 4G-LTE, VoLTE, and 5G-NR to support performance improvements, increase reporting adoption, and reduce manual analysis. Collaborate through Agile/Scrum practices using Jira, Confluence, SharePoint, and cloud data platforms.

Analyze complex datasets using SQL and Python to identify trends, opportunities, and actionable insights. Partner with stakeholders across Finance, Risk, Product, Operations, Technology, Distribution, and Business Development to solve business problems. Develop scalable analytics solutions, apply statistical techniques, translate findings into recommendations, and support data-driven decision-making across the organization.

Analyzes internal and external data to create trusted analytical assets, dashboards, reports, models, and automated analysis. The role applies SQL, Python, statistical methods, and visualization techniques to support business decisions, identify trends, improve data quality, and provide commercial insights. It partners with stakeholders across Finance, Risk, Product, Operations, Technology, and Distribution while collaborating with engineering and visualization teams.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Course-credit intern supporting sports consultancy and analytics projects. Responsibilities include collecting and storing data, cleaning sports match data, analyzing broadcast camerawork and brand exposure, summarizing sports fan survey trends, and completing detail-oriented administrative tasks. The role provides practical experience interpreting data and developing insights for commercial and business strategy in the sports industry.

Supports payroll compliance engagements by analyzing payroll and timekeeping data, identifying wage discrepancies, developing SQL, Python, and Excel models, and delivering wage remediation projects. Responsibilities include data ingestion, recalculation, validation, reconciliation, reporting, visualization, technical documentation, client collaboration, and translating legal and business requirements into data specifications. The role also contributes to project planning, team leadership, proposals, and business development.

Analyze high-volume telecommunications network data using SQL and Python, build and maintain Power BI or Tableau dashboards, automate reporting workflows, and provide stakeholder-facing insights. The role monitors network KPIs such as accessibility, retainability, mobility, and throughput, supports optimization across 3G, 4G/LTE, VoLTE, and 5G-NR networks, and drives improved performance and reporting efficiency through data-led interventions.

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.

Analyze operational and customer data to deliver actionable insights for business, customer, and risk decisions. Build dashboards and analytical solutions using SQL, SAS, Power BI, and Tableau; partner with stakeholders; automate workflows; and prototype AI-enabled solutions using Microsoft and Azure tools while maintaining data governance, privacy, and regulatory standards.

Leads advanced statistical analysis and evaluation of student equity, experience, engagement, retention, and completion initiatives. Designs rigorous analytical approaches, builds reproducible workflows, develops dashboards and reports, and translates complex findings into actionable recommendations for university stakeholders. Provides methodological advice, peer review, coaching, and technical leadership while ensuring governed data use, privacy, quality assurance, and analytical integrity.

Build and maintain OneStream forecasting, planning, reporting, and dashboard capabilities for Commercial FP&A. Develop demand planning models, reports, reconciliations, and performance monitoring processes while supporting month-end reporting and data improvement initiatives. Partner with finance, data, administration, and implementation teams to optimize the platform, automate processes, troubleshoot performance, deliver actionable insights, and develop internal OneStream expertise. The role also evaluates AI and automation opportunities across FP&A workflows.

Develop and implement enterprise data governance, data quality, metadata, lineage, ownership, and control frameworks. Analyze complex data management issues across business processes, source systems, Databricks, and downstream products. Provide governance expertise to engineering, architecture, product, and senior business stakeholders, while supporting AI governance, data protection, DPIAs, and international data management initiatives.

Analyze business and behavioral data to generate strategic insights, optimize Eucalyptus’s global data model, improve reporting and dashboards, and identify growth opportunities across acquisition and retention. The role requires advanced SQL, Python, and Sheets skills, statistical analysis, experimentation, strong commercial judgment, attention to detail, and the ability to communicate actionable findings clearly.

Leads investment data enablement by translating business requirements into data solutions, engineering and enhancing investment platforms, designing data pipelines, embedding AI and advanced analytics, and supporting governance, quality, controls, documentation, and continuous improvement. The role partners with investment, technology, business, and vendor stakeholders to deliver trusted, accessible, and fit-for-purpose investment data.

As a Senior Data Analyst at Mable, you will analyze data to drive impactful decisions, collaborate with teams, and communicate insights effectively.

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.

Develop and improve performance reports and dashboards, deliver accurate data, analyze trends, and support business decision-making. The role includes data cleaning, validation, visualization, reporting-system administration, AI transformation projects, and maintaining reporting hierarchies. The analyst will use SQL, Excel, Power BI, data warehousing, ETL concepts, and AI tools such as Claude and Copilot while collaborating with commercial teams.

Develop and support Microsoft Fabric data platforms, Lakehouse environments, data pipelines, and enterprise integrations. Integrate data from multiple systems using APIs and databases, maintain reliable data solutions, and enable reporting, analytics, and business insights. The role also involves troubleshooting, continuous improvement, source control, and collaboration with technical and non-technical stakeholders across business technology initiatives.

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.

Supports health, safety, sustainability, regulatory, and business-performance reporting across the Southern Industrial region. Responsibilities include managing safety and sustainability data, Scope 1–3 emissions reporting, NGER requirements, dashboards, governance, audit readiness, data quality, and recurring HSS reports. The role partners with business leaders and supports internal, external, and sustainability assurance audits.

Analyze sales and labor data to identify productivity opportunities, build venue segmentation and demand-based labor forecasting models, and support workforce-planning tooling. Translate complex findings into actionable insights for venue and area managers, while tracking financial and operational benefits. The role requires advanced statistical analysis, predictive modeling, SQL, Tableau, cloud-platform experience, and familiarity with workforce management and enterprise scheduling systems.

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.

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.