2,838 sql data analyst jobs in Australia.

... Engineering, Solution Design or Data Warehousing. - Advanced SQL and data transformation expertise. - Hands-on experience with Snowflake, Python, Spark, Azure Data Factory and Databricks. - Experience across Azure, AWS and/or GCP environments. - Strong understanding of data modelling, governance and data quality. - Experience ...

... statistical and predictive modelling techniques, including classification, regression, time-series analysis, clustering and anomaly detection. - Analyse large, complex datasets to identify trends, emerging risks and opportunities for improved claims outcomes. - Use Python, SQL and Azure Databricks to develop and deliver analytical ...

... deployments. - Skilled in Python, PySpark, DataFrames and SQL for data engineering, including reusable libraries and scalable ingestion patterns. - Familiarity with data orchestration and large-scale ingestion patterns - Experience in Data Model implementation. - Knowledge of data governance, metadata management, data lineage, ...

... environments using ETL methodologies. - Strong technical background, ideally having worked as a developer for 5+ years, including experience with the Microsoft stack SQL Server, database, T-SQL, SSIS, Views and Stored Procedures as well as MS Azure technology stack in particular ADF, Azure SQL and a working understanding of Azure ...

... practices, automation, and governance frameworks to support scalable enterprise data products. Essential Capabilities and Experience - Advanced experience in SQL development and data modelling for enterprise-scale solutions. - Strong experience designing and implementing data solutions using Snowflake. - Proven experience ...

... engineers, architects, analysts and business stakeholders, you'll design and develop data pipelines, data models and reporting solutions that transform complex data into meaningful business insights. About the Role As a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics ...

... practices, automation, and governance frameworks to support scalable enterprise data products. Essential Capabilities and Experience - Advanced experience in SQL development and data modelling for enterprise-scale solutions. - Strong experience designing and implementing data solutions using Snowflake. - Proven experience ...

... engineering, including the design, development and maintenance of data pipelines, data ingestion and transformations, and data models. - A sound understanding of data architecture principles, including data ingestion patterns, data structures, transformation methodologies and scalable solution design. - Strong SQL skills and ...

... mathematics, computer science or data science. - At least two years’ experience in engineering, analytics, data science or software development. - Strong Python and SQL skills, with experience in data integration, analytics or statistical methods. - The ability to turn data and stakeholder needs into practical technical solutions. ...

... OneLake, Data Factory, Warehouse and Lakehouse. - Demonstrated production dbt development and deployment experience, including modular models and testing. - Advanced SQL skills and strong practical data engineering capability. - Experience migrating legacy data platforms into modern cloud-based data environments. - Strong Azure ...

... and troubleshooting activities. Key Skills & Experience - Strong proficiency in SQL, Python, Databricks, Snowflake and dbt Core. - Demonstrated experience with Data Vault and Dimensional Modelling methodologies. - Experience developing, maintaining and optimising modern cloud-based data pipelines. - Working knowledge of Git ...

Data Engineer - AWS | Glue | Airflow We’re looking for a skilled Data Engineer to join a high-performing Data & Integration Platform team within a leading financial services organisation. This is a hands-on opportunity to work on modern, enterprise-scale data platforms , building scalable data products and pipelines across ...

... experience across data architecture, solution architecture, data engineering, analytics architecture or enterprise integration - Experience designing enterprise data models, data flows and integration patterns - Experience with cloud data platforms, warehouses or lakehouses, together with metadata, lineage, data quality and ...

... - Advanced SQL skills and proven experience modeling for cloud-scale data platforms (e.g., AWS/Azure Data Lakes, Databricks). - Familiarity with event-driven data designs and real-time streaming architectures (Apache Kafka or cloud-native equivalents). - Experience utilizing Data Lineage and Metadata Management platforms. ...

... Scientists to maintain pipeline stability, uptime, and high-quality data integration. Capabilities to Bring - Technical Capabilities: 3+ years of experience in data profiling, ETL development, SQL optimization, and large-scale data processing using AWS (Kinesis, Redshift, Lambda, S3) and modern platforms (Snowflake, Databricks, ...

... Scientists to maintain pipeline stability, uptime, and high-quality data integration. Capabilities to Bring - Technical Capabilities: 3+ years of experience in data profiling, ETL development, SQL optimization, and large-scale data processing using AWS (Kinesis, Redshift, Lambda, S3) and modern platforms (Snowflake, Databricks, ...

... practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale. We are consistently recognised as leaders in Cloud, Data, Analytics and AI, including in the latest analyst reports. What will your typical day look like? You'll be hands-on across design and build, accountable for ...

... through accurate data processing, system updates and general administrative support. Position Description: - Manage and maintain customer and dealer account data within the JD Monitoring Centre. - Process new account activations, amendments and cancellations. - Ensure all data is accurate, complete and compliant with company ...

Hi, we’re Jaywing. We’re a talented bunch of data analysts, marketers, creatives, developers, designers, content makers, strategists, and technologists: our difference is our strength. Jaywing helps its clients make sense of the complexity of today’s world of data and technology, streaming and sharing, interactivity and ...

... in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable ...