Total 25,260 job vacancies in Sydney

The Reporting and Data Analyst plays a crucial role by transforming raw data into meaningful insights that drive decision-making. The primary responsibilities include collecting, analysing, and interpreting data from various sources. They create detailed reports, visualisations, and storytelling to highlight key metrics and trends, making complex data more accessible and understandable for stakeholders. This role often involves working with tools like SQL, Excel, and data visualisation software such as Tableau and/or Power BI.

In addition to reporting, data analysts delve deeper into the data to uncover patterns and insights that can inform strategic decisions. They perform tasks such as data cleaning, data mining, statistical analysis, and predictive modelling. By interpreting data within the context of business objectives, they help to identify opportunities for improvement, optimise
operations, and predict future trends, while maintaining a focus on data governance and quality. This dual focus on reporting and analysis ensures that businesses not only understand their current performance but also have business insights needed to plan and document.

A Reporting and Data Analyst in data and analytics typically has several key accountabilities:

Data Governance

• Understanding of data policies, standards, and regulations.

Data Quality, Integration and Management

• Data Mining: Skills in extracting patterns and insights from large datasets.
• Data Collection: Gather data from various sources, including databases, APIs, and flat files.
• Data Cleaning: Ensure data quality by cleaning and preprocessing data to remove inconsistencies and errors.
• Data Warehousing: Design and maintain data warehouses to store and organise large volumes of data.

Data Architecture

• Knowledge of data structures, databases, and storage solutions.
• BI Solutions: Develop and implement BI solutions, including dashboards, reports, and data visualisations.

Reporting and Visualisation

• Dashboard Creation: Create interactive and user-friendly dashboards using tools like Power BI and/or Tableau.
• Data Storytelling: the ability to communicate your insights through compelling narratives.
• Report Generation: Develop reports that provide actionable insights to stakeholders, helping them make informed decisions.
• Data Visualisation: Use data visualisation techniques to present complex data in an easily understandable format.

Agile Practices

• Demonstrate the success of a product release, encompassing a shared understand of finished quality product.

Drives Results

• Organises workload and priorities to adhere to agreed timeframes and service standards.
• Explores alternative solutions to improve effectiveness and productivity within the team.
• Makes informed and timely decisions when appropriate, weighing up risks and outcomes using sound risk awareness and management practices.

Oversee the accounts payable process for 17 hotels.

Collaborate with various General Managers and team members across multiple properties whilst gaining a unique observation of ownership relationship and management.

What You Will Be Doing:

• Review all vendor invoices submitted in Purchase Plus to ensure they have been accurately recorded and matched to purchase orders.
• Process verified invoices into Sun System and timely payments to vendors.
• Assist with all enquiries related to the accounts payable.
• Liaise with the hotels key personnel with respect to invoice processing and general requests.

You will be part of data engineering team for our data and analytics platforms. This role requires a mixture of hands-on strategic work and will also focus on developing Symbio’s data engineering capabilities across multiple teams. As a Data Warehouse Engineer, your role also encompasses improving data and engineering practices and adhering to our agile processes. 

The Data Warehouse Engineer will be responsible for designing, building, and maintaining scalable and robust data pipelines, architectures, and infrastructure to support data-driven decision-making processes. You will have a proven track record of working with large-scale data and analytics systems, and be able to collaborate effectively with business analysts, software engineers, and other stakeholders.

There is an expectation that this role is part of the teams after hours support roster (level 3), which is rotated weekly for production critical platforms. We also understand that we as a team need to do everything, we can ensure resilient and self-healing platforms and data warehouse engineer will provide the time to make sure we do.