Top Data Analyst Jobs in Sydney

The Data Analyst will analyze project performance data, create dashboards, support budget estimations, and present findings to enhance operational efficiency in the Central-West Orana Project.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

As a Reference Data Analyst, you will validate and manage key reference datasets critical to trading, collaborate with traders and technologists, and develop strategic data solutions.

The Data Analyst role involves interpreting, transforming, and validating data for migration tools, focusing on workflow development, ETL mapping, testing, and quality assurance to support onboarding processes.

As a Growth Data Analyst, drive growth by connecting data and AI, unify client lifecycle insights, and enhance performance across marketing and sales operations.

The Data Analyst II role involves delivering insights, building dashboards, conducting deep analyses, and collaborating with teams to drive data-informed decision-making across various business areas.

The Marketing Data Analyst manages data projects, analyzes research data, presents findings, and provides strategic solutions to clients.

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

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The Data Quality Analyst will ensure data accuracy and transparency across business operations, drive governance initiatives, and collaborate on process improvements.

The Business Data Analyst supports finance data management, collaborates with stakeholders, enhances data quality, and creates BI dashboards and reports.

As a Senior Data Analyst, you will design data models, create visualizations in Power BI, analyze trends, and collaborate with stakeholders to provide insights and drive decision-making.

The Data Analyst will manage client master data sets, ensure data quality, troubleshoot issues, and interact with stakeholders. Essential skills include Microsoft Excel proficiency and SQL knowledge.

The Data Analyst will drive strategic insights, optimize data architecture, empower data-driven decisions, and monitor performance to influence growth.

The Data Conversion Analyst will develop and execute data conversion strategies, ensuring accurate data migration to Workday, while also managing data quality and cleansing processes.

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

The Senior Data Analyst will lead analytics projects autonomously, mentor junior analysts, manage complex data projects, and provide insights to support decision-making and organizational development.

The Senior Data Analyst will gather and analyze data, build datasets, and create dashboards to support business decisions, working closely with a team of data specialists.

The Data Analyst will support data migration from Oracle EBS to SAP S/4HANA, focusing on data profiling, cleansing, and validation while ensuring data integrity and accuracy.

The Senior Data Analyst will perform marketing analytics and business intelligence to aid strategic decision-making, lead marketing measurement initiatives, and enhance tracking operations.

The Senior Business Analyst in Finance Data Management ensures accurate financial data through governance practices, manages master data operations, defines requirements, evaluates data changes, reviews updates, and resolves mapping issues.

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

The Senior Data Analyst manages quarterly analytical projects, transforming business questions into scalable data products while mentoring analysts and ensuring project alignment with company OKRs.

Analyze datasets to identify trends, drive insights, and collaborate with engineering teams to enhance data pipelines, applying statistical techniques to improve decision-making.