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Top Data Analyst Jobs in Sydney
As a Data Analyst at Sonder, you will transform data into actionable insights and collaborate with stakeholders to identify problems that analytics can solve. Responsibilities include data gathering, trend analysis, reporting findings, building scalable solutions, and improving analytics capabilities.
As a Senior Technical Data Analyst, you will engage stakeholders to gather requirements, design, build, and test data pipelines. You'll document processes, analyze data profiles, and support testing while collaborating with other teams to enhance technical solutions.
As a Senior Technical Data Analyst, you will enable data delivery democratisation by producing the Enterprise Semantic Data Model. Responsibilities include collaborating with design stakeholders, creating playbooks, analysing data profiles, gathering requirements, and documenting business processes using standard analysis methodologies.
As a Principal Data Analyst, you'll lead data-driven initiatives, mentor junior analysts, and design sophisticated analytical solutions using large datasets. Your role will involve collaborating across teams to derive insights, support product decisions, and enhance user experience through data storytelling. You'll utilize tools like SQL, Python, and visualization software to communicate findings effectively.
As a Senior Data Analyst, you'll lead project delivery by analyzing large datasets to drive business insights and recommendations. You'll collaborate with product stakeholders, develop methodologies for business needs, ensure data governance, and leverage various data analysis tools.
As a Senior Data Analyst at Blinq, you will analyze complex datasets, collaborate with cross-functional teams to provide actionable insights, develop dashboards to track KPIs, and enhance data processes. Your role involves building predictive models, conducting deep-dive analyses, and automating data processes to support strategic business decisions.
The Data Quality Analyst will support the Global Data Quality strategy by collaborating with various teams to define data quality rules, manage data cleansing projects, and document data quality standards, ensuring high-quality master data for the Digital Core platform.
The Lead Analyst – Enterprise Data Quality is responsible for managing data governance policies, ensuring data quality and compliance across entities, and developing dashboards to monitor these metrics. The role emphasizes collaboration with various teams to align data strategies with business needs and requires strong analytical skills to provide insights based on data.
As a Senior Data Analyst, you will conduct business intelligence analyses for the marketing department, lead marketing measurement initiatives, and develop tracking mechanisms for marketing campaigns while collaborating with teams and AdTech partners to ensure effective data collection and integration.
The Data & Insights Analyst at OFX will provide business analytics through reports and dashboards, manage data from creation to exploitation, and contribute to evolving the data framework. They will work collaboratively to achieve business outcomes, ensure data governance, and communicate insights effectively to stakeholders.
The Senior Data Analyst will analyze datasets to uncover trends and performance drivers, improve data pipelines with engineering teams, maintain dashboards in Looker, and apply statistical analysis to business problems. Responsibilities also include communicating insights to stakeholders and collaborating with teams across various departments.
The Performance Intelligence Analyst will develop analytical tools to assess the ANZ business performance, manage reporting infrastructure with Knime, Snowflake, and PowerBI, track brand performance, and provide insights from data analysis to aid decision-making.
The role involves leading the Data & Analytics for the Lead to Cash process in a major SAP S/4HANA transformation at Mars Pet Nutrition. Responsibilities include data collection, cleaning, analysis, visualization, and modeling to support digital transformation and decision-making.
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