Hi. We’re OFX, a global provider of online international payment and money management services. Our journey is one of exciting growth and transformation, revolutionizing how businesses and individuals move and manage money globally. We're evolving into a global payment solutions provider, enabling businesses to streamline their global financial operations, improve control, reduce costs and achieve more. Our new Business Platform offers clients real-time visibility and controls over their payments, expenses, approval workflows and reconciliations to help make business easier.

At OFX, you’ll have the opportunity to bring your expertise to life, collaborate across disciplines, and be part of a team shaping the future of global money management.

Purpose of your role

Reporting to the Head of Data Capabilities and Insights, the Data & Insights Analyst will provide accurate, timely and relevant business analytics by creating reports, dashboards and presentations on analysis and insights to meet operational needs and recommend improvements.

You will develop an expert understanding of OFX’s business and processes and ensure the effective management of data points from creation through to exploitation in addition to driving the maturity and evolution of the data model and associated practices to support the future and ongoing needs. 

As an integral member of the Data & Insights team, you will contribute to the development and evolution of OFX’s data framework including data governance, metadata management, quality management, business intelligence, and the practice of analytics and data science. The Data & Insights Analyst will positively contribute to the Data & Insights practice at OFX, sharing knowledge and learnings to build consistency with how OFX discusses, promotes and reports on data & insights.

What you do

• Develop an expert understanding of OFX’s business and processes working hand in hand with key stakeholders and team members throughout the business to deliver key prioritised business outcomes
• Understand and communicate the wider Data & Analytics Strategy to ensure alignment of the business priorities and decision making
• Contribute to the evolution of the Data & Analytics Strategy working within the operating framework and ensuring adherence to the core data capabilities and artefacts
• Ensure the effective management of data points and the data model from creation through to exploitation
• Drive the maturity and evolution of the data model and associated practices to support the future and ongoing needs
• Challenge the business stakeholders to ensure the delivery of valued outcomes, with the goal of building less reports and more artefacts that provide insights that evolve and enhance our business efficiency and effectiveness
• Help define and set effective metrics and to ensure success
• Management and mitigation of technology risks using proper governance
• Lead engagement with vendors and partners within specified domain to ensure delivery of OFX’s business outcomes
• Be able to engage successfully with other members of the broader analyst team contributing the development of a ‘Centre of Excellence’
• Work as part of agile delivery teams where required
• Advocate for the Analytics team, working on the Data & Analytics practices, communicating business unit strategies and priorities to help delivery on the key business priorities
• Maintain consistent and constant communication with stakeholders

Who are we?  

Humanforce’s vision is to make work easier and life better for frontline and flexible workforces. 

Humanforce provides the market leading, best-in-one human capital management (HCM) suite for frontline and flexible workforces - without compromise. Our employee centred, intelligent and compliant HCM suite is highly integrated and composable, and consists of Workforce Management (WFM), HR, Payroll, and Wellbeing.  

Humanforce has built strong foundations since its founding in 2002. We help over 2300 customers and almost 1 million employees under management in 30+ countries, across a wide range of industries, including aged, child and health care; education; hospitality; retail; local government and more. Today, we have offices across Australia, New Zealand, United Kingdom, North America and the Philippines.

Customers choose Humanforce because we enable them to deliver an exceptional employee experience, build a compelling employee value proposition, and connect the flow of the world’s talent with the growth, productivity and efficiency objectives of frontline and flexible workforces. 

Who you are

We are seeking a dynamic and self-driven Senior Data Engineer with a genuine passion for data and a commitment to achieving impactful results. Armed with a solid technical skill set and exceptional problem-solving abilities, you excel in collaborative settings and relish being part of a diverse team. You confidently take the lead on key data engineering projects and take pride in crafting robust, scalable, and efficient solutions. Your unique talent for merging innovation with practicality positions you as a vital asset in the development of a real-time, customer-focused analytics product.

What you’ll do

• Create and sustain a highly scalable and efficient data warehouse tailored for customer-facing analytics.
• Design, maintain, and deploy dbt core along with dbt pipelines for effective data transformations.
• Craft and execute solid data extraction and loading mechanisms utilising Streamkap.
• Boost the performance of ELT pipelines with a focus on optimising query speeds.
• Establish a robust data governance framework to uphold data quality and consistency.
• Work in close partnership with data scientists, software engineers, DevOps, and DBAs to drive cross-functional initiatives.
• Ensure the integrity, reliability, and security of our data engineering architecture.
• Oversee and troubleshoot data workflows to ensure smooth and uninterrupted operations.

What you’ll need

• At least 5 years of experience in data engineering or a related discipline.
• Adept in SQL and Python.
• Proficient in constructing and managing data pipelines (such as dbt core).
• Familiar with cloud technologies (like AWS).
• Experienced in administering and architecting relational databases.
• In-depth knowledge of AWS cloud services for data engineering and analytics.
• Practical experience in database administration and optimisation techniques.
• Strong grasp of ETL/ELT processes and pipeline development.
• Exceptional problem-solving abilities with a knack for independent work as a self-starter.

Some ‘nice to haves’

• A strong background in software engineering or development.
• Proven experience in an Agile environment.
• Familiarity with Infrastructure as Code tools (such as CloudFormation and Terraform) and CI/CD practices (like GitHub Actions) is a definite plus.
• Knowledge of real-time data replication tools and processes.
• A solid understanding of advanced data transformation techniques and strategies for query optimisation.
• Experience in constructing data systems for business intelligence and analytics within enterprise environments.

Our values  

• We are bold  
• We are all in  
• We are customer obsessed  
• We do what we say  
• We are good humans  

Our approach to flexibility  

We are passionate about people making their own decisions about where and when they work. Our aim is to facilitate hybrid working (mix of in the office and from home) where possible to support our people to be effective, empowered, and productive to achieve both their career and personal goals. Because we recognise that working flexibly means different things to different people, flexible working exists in many forms. 

Benefits 

• A flexible working environment  
• The opportunity to be part of a fast-growing tech company   
• A focus on development with access to Go1 learning   
• Paid parental leave and Quarterly Wellbeing Days   
• Employee talent referral scheme (know great people, be rewarded)   
• A fun and friendly culture working with passionate and talented people   
• A work environment where you can genuinely improve the world of work! 

We are a diverse and dispersed organisation and are actively looking to grow our team with individuals from all diverse backgrounds. We encourage applicants from all backgrounds, cultures, ages, genders, neurodiversity, religions, sexual orientations, and experiences to apply.  

We are a 2024 Circle Back Initiative Employer and commit to respond to every applicant

The 9Predict data science team develops, builds and delivers data science products to provide audience forecasting and solutions to business problems. Key responsibilities include gathering and analyzing data, developing and implementing data science models, and communicating findings to stakeholders. We push the envelope in what is possible and work on new and novel implementations of data science techniques.

Major area of focus for the team is forecasting audiences across all of Nine’s assets (Metro TV, Regional TV, 9NOW and other channels) to more effectively monetise & yield manage commercial ad inventory.

Role Responsibilities:

• Analyse large and complex data sets to uncover insights and trends.
• Develop predictive models and algorithms.
• Collaborate with other data scientists and analysts to design and implement innovative solutions that support business objectives.
• Implement and maintain data pipelines and workflows.
• Conduct data cleaning, transformation, and validation.
• Create and present clear and concise reports, visualisations, and dashboards to communicate findings and recommendations to stakeholders.
• Use data visualisation tools to effectively convey complex data insights to non-technical audiences.

Employee Responsibilities:

• Stay updated with the latest industry trends, technologies, and best practices in data science and media analytics.
• Participate in training and professional development opportunities to enhance skills and knowledge.
• Contribute to a positive and collaborative team culture.
• Share knowledge and insights with team members.
• Ensure compliance with data privacy regulations and ethical guidelines in all data-related activities. 

2x Positions Available: We are looking for a Mid-level Data Engineer & Associate Data Engineer to join our Data Team to support the performance, integrity, and security of the organization's databases.

What is this role about?

The data engineer is responsible for building a data platform to help develop self-serve BI capability and enforce the data management practices are implemented as part of solution design. Help foster a culture of continuous improvement in processes, operations, and support by enforcing best practices and ensuring that the team consistently maximizes the efficiency and effectiveness of the platforms.

Here's more of what you’ll work on:

• Develop and Maintain AWS Data platform infrastructure code through Terraform.
• Produce the platform for extraction, loading and transformation (ELT) of data from a wide variety of data sources using ‘Big Data’ technologies by building an Integration Hub.
• Implement, review, and manage governance policies to help implement them on the data platforms.
• Manage the release of configuration changes to production environments in accordance with Cuscal change management principles.
• Manage and process complex, large data for analysis (e.g., hierarchies of datasets, inter-relationships, partitions, views, etc.)

As a Data Scientist - Classifications Model Specialist at Shift, you will play a pivotal role in maintaining and evolving our classification models. You’ll be responsible for ensuring their continued success through performance monitoring, updates, and collaboration across teams. Your work will directly impact how we leverage data to drive business decisions and optimise our systems.

What you’ll do: 

• Maintain and enhance the performance of classification models through regular updates and monitoring.
• Support updates to model architecture, training sets, and model validation.
• Build and implement monitoring capabilities to effectively track model health.
• Develop and document processes to ensure smooth and consistent operations.
• Collaborate with data science, engineering, and operational teams to align on classification needs and improvements.   

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. 

Responsibilities:

• Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
• Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.
• Propose solutions for the cloud-based architecture and deployment flow.
• Design and build processes, data transformation, and metadata to meet business requirements and platform needs.
• Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
• Develop, maintain, test, and evaluate big data solutions.
• Focus on production status and data quality of the data environment.
• Pioneer initiatives around data quality, integrity, and security.