Top Data Jobs in Sydney

The Solution Consultant designs and implements complex enterprise applications, manages engagements, and troubleshoots technical issues while ensuring client satisfaction and compliance with project standards.

As an Associate/Senior Associate in Data Analytics, you'll analyze data, collaborate with teams to derive insights, and support the firm's clients through actionable recommendations while developing your analytical skills.

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

The Senior Data Engineer will develop and maintain data pipelines, define common data standards, integrate data systems, and collaborate with cross-disciplinary teams to enhance data governance and platform scalability.

In this role, you'll engage clients to design and implement data solutions using Microsoft technologies, facilitate workshops, and drive insights with powerful analytics.

The Data Solutions Lead will bridge client ambitions with technical delivery by architecting data platforms, leading presales engagements, and translating complex requirements into effective solutions.

The Data Manager oversees daily operations, manages a team, ensures data quality, coordinates processes, and engages in market research in financial services.

As a Data Engineer (Consultant), you will develop structured data sets, design data models, and create scalable ETL packages while collaborating with various teams to ensure data accuracy and optimize analytics capabilities.

The role involves developing analytical scripts in SQL and Python, collaborating with lawyers and stakeholders, ensuring data accuracy, and creating bespoke data analytics solutions for clients.

The role involves designing and building cloud-native data platforms and pipelines, optimizing data storage, and consulting with clients on data solutions. It requires hands-on engineering skills and experience with modern data technologies.

As a Data Engineer, you will build and optimize data solutions, manage data pipelines, and engage clients for technical projects using cloud and Databricks.

Design, build, and optimize scalable data and AI solutions, lead engagements with executives, and mentor teams to drive high-quality outcomes in Data & AI.

The Principal Marketing Specialist will develop and execute ABM strategies, create marketing campaigns, perform account research, align with sales, and analyze campaign performance.

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

The Senior Data Scientist will utilize advanced analytics and machine learning to influence business strategy, uncover insights from data, and build decision-quality models and metrics. Responsibilities include collaborating across teams, communicating insights, and conducting deep analytics to drive product and marketplace success.

The Data Management Consultant will support ERM projects by providing technical consulting skills, GIS mapping support, and data management for environmental and sustainability initiatives.

Lead the architecture and development of data systems and business intelligence applications, driving real-time analytics solutions and mentoring junior engineers.

The Director of Data and Analytics Engineering leads the delivery of analytics solutions, develops strategic visions for data engineering, and manages a high-performing team while collaborating with business leaders to meet their analytics needs.

The Sales Executive will drive revenue acquisition, exceed sales targets, and develop strategies across territories, focusing on consultative sales for financial services solutions.

Lead the business development strategy for cloud service solutions, focusing on sales execution and partnership with Microsoft to achieve revenue growth.

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.

The Senior Site Acquisition Manager supports property acquisition and capital deployment, conducts feasibility analyses, manages budgets, and engages with stakeholders for site selection.

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.