Top Data Analyst Jobs in Sydney

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.

Own go-to-market analytics supporting Customer Success and Sales. Build QBR reporting, analyze customer performance and checkout conversion, support sales pilots, and provide pricing and packaging insights across subscriptions, add-ons, and usage. Deliver clear, actionable findings quickly to commercial and nontechnical stakeholders using SQL, BigQuery, BI tools, and Google Analytics in a fully remote three-month contract.

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 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.

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

Analyze data, trends, acquisition funnels, segmentation, and feature experiments to generate actionable business and product recommendations. Build insight-sharing frameworks, support analytics requirements, measure results, and communicate findings to stakeholders across Product, Engineering, Marketing, and Commercial teams. The role requires advanced SQL, enterprise data warehouse experience, and strong BI skills, with opportunities to use forecasting, statistical modeling, Python, dbt, Databricks, and Snowflake.

Analyzes complex data management issues and designs enterprise data governance, quality, metadata, lineage, ownership, and monitoring approaches. The role embeds governance controls into Databricks pipelines and data products, applies DAMA-DMBOK practices, advises engineering and architecture teams, and supports AI governance, data protection, DPIAs, and international data management initiatives.

Experienced Business Analyst supporting a large-scale BSS/OSS transformation focused on data migration. Responsibilities include engaging stakeholders and technical SMEs, documenting data models and business rules, defining source-to-target mappings and transformation logic, coordinating validation, supporting UAT, and securing business sign-off. The role bridges business and technology teams and requires strong analytical, documentation, workshop facilitation, and stakeholder communication skills across Agile, hybrid, or waterfall environments.

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.

Support Finance data initiatives through data analysis, process investigation, stakeholder engagement, and reporting automation. Develop Power BI and IBM Planning Analytics dashboards, validate and reconcile data, investigate root causes, assess data quality, analyze trends, and conduct current-state, future-state, and gap analyses to improve Finance processes and decision-making.

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.

Supports HammondCare’s data and AI governance framework by assessing projects, systems, and use cases for risk; maintaining governance templates; applying privacy, security, classification, and access principles; answering governance questions; resolving data issues; and helping technical and non-technical teams use data responsibly. The role also identifies opportunities to simplify governance practices and improve accountability, accuracy, and consistency across analytics, reporting, AI, and operational decision-making.

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.

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.

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.

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.