Top Data Analyst Jobs in Sydney
The Analytics Engineer at Deputy will design and optimize data pipelines using Databricks, develop advanced analytics solutions, and collaborate with cross-functional teams to enhance data infrastructure. Responsibilities include mentoring team members and establishing best practices for data quality and governance.
As a Product Data Analyst, you will analyze metrics, manage reports and dashboards, own experimentation plans, conduct ad hoc analyses, and present findings to non-technical audiences to drive product growth and improvements.
The Technical Data Analyst will extract and analyze data using SQL, develop complex queries, create automated reports and dashboards, and collaborate with cross-functional teams to deliver actionable insights, ensuring data quality and resolving issues as needed.
The Product Data Analyst drives key product decisions through data and analytics. They collaborate with product teams to conduct critical analyses, identify user behavior patterns, and implement measurement plans for product analytics. They design and maintain reporting systems to support data-driven operations and decisions.
As a Technical Data Analyst, you will collaborate with key stakeholders to build a world-class data platform for data science, AI, and business insights. Responsibilities include designing solutions for data pipelines, metadata recording, data lineage tracking, and gathering business requirements.
As a Senior Technical Data Analyst, you will gather requirements, document processes, and collaborate with stakeholders on AI/ML use cases. You'll convert business needs into functional designs, assess impacts on business processes, and support testing and delivery activities. Your role involves analyzing and documenting business requirements while addressing project delivery issues and recommending process improvements.
As a Senior Technical Data Analyst, collaborate with key internal stakeholders to design, build, deploy, and test data pipelines across various use cases. Responsibilities include data analysis, requirement gathering, solution design input, and utilizing a broad range of data tools and frameworks.
The Global Operations Data Analyst identifies and builds analytics solutions to create significant business value. Responsibilities include data preparation, transformation, visualization, engaging with business functions to understand analytics needs, using analytical skills to derive insights, and documenting processes while presenting findings to various stakeholders.
The Senior Data Analyst role involves leading data analytics delivery, developing data quality rules using SQL, and presenting insights to senior stakeholders. Responsibilities include collaborating with product owners and stakeholders, performing data analysis, and managing relationships effectively to solve business problems and improve data quality.
As a Senior Data Analyst at Blinq, you will analyze complex data sets to identify trends and insights, collaborate with cross-functional teams, develop dashboards and reports, build predictive models, and improve data processes. You're expected to leverage data to drive strategic business decisions and support team-specific goals.
The Senior Data Analyst will own the analytics of games, collaborating with various teams to meet data needs and improve game performance through data-driven projects. Responsibilities include managing reports, enhancing BI technologies, optimizing ETL processes, and overseeing Junior Data Analysts.
As a Senior Data Analyst, you will analyze marketing data, closely work with marketing teams to develop business intelligence solutions, and lead marketing measurement initiatives. You will ensure accurate data collection for marketing campaigns and track performance using various analytical tools and techniques.
The Senior Data Analyst develops and maintains data models, creates new data sets, and collaborates with analysts for broader data access. Responsibilities include designing analytic tools, producing reports and insights, mentoring junior team members, and ensuring solid data governance, all while building relationships with stakeholders.
The Senior Data Analyst will analyze user behavior data to identify patterns for improving acquisition, activation, retention, and monetization. Responsibilities include building data models, collaborating with data engineering, conducting A/B tests, creating KPI dashboards, and promoting a data-driven culture within SafetyCulture.
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