Top Data Analyst Jobs in Sydney

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.

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 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.

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.

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.

As a Senior Data Analyst, you'll lead analytics initiatives, mentor junior colleagues, influence stakeholders, and deliver insights to drive strategic outcomes.

As a Senior Data Analyst, lead complex analytics projects, mentor junior colleagues, and deliver insights that influence strategic decision-making across the business.

Analyze trends, acquisition funnels, segmentation, experiments, and channel performance to generate actionable business insights. Translate complex data into recommendations, support product and commercial strategy, inform requirements, and measure feature effectiveness. Collaborate with Product, Engineering, Marketing, Commercial, and data teams while strengthening reporting and analytics capabilities.

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.

Work with stakeholders to analyze and interpret data, build dashboards and reports, automate reporting using SQL and Python, and deliver actionable insights. Support data quality, governance and continuous improvement to enhance analytics capability across the business.

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

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Own Zip’s Expected Credit Loss and loss forecasting processes, including monthly production, quarterly parameter monitoring, methodology, scenario and variance analysis, back testing, controls, automation, and audit support. Analyze portfolio performance, delinquency, and write-offs to produce clear recommendations for Credit Risk and Finance stakeholders. Improve data governance, analytical code, forecast accuracy, and explainability while supporting bad debt initiatives and exploring AI-enabled improvements.

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.

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

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

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 translation of business requirements into delivery-ready investment data solutions. Engineer and enhance investment data platforms, design and manage data pipelines, embed AI-enabled capabilities, and support governance, data quality and continuous improvement across investment, data and technology stakeholders.

The Senior Analyst will use data and analytical techniques to solve business challenges, create dashboards, communicate insights, and partner with teams to enhance product features and operational processes.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

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.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.