Analytics Engineer at OFX Hong Kong

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Cloud Data Warehousing, Data Visualisation, Data Modelling, Data Analysis, Event-Based Data Sources, Real-Time Analytics, Predictive Analytics, Machine Learning, Artificial Intelligence, Agile Development, Kanban, Data Literacy, Customer Journeys, Continuous Improvement

Industry

Financial Services

Description

Company Description OFX is a leading financial operations company providing businesses and accounting firms with real-time financial control and visibility to do business anywhere in the world. With an innovative platform and 24/7 human support, OFX automates and simplifies doing business across borders, reducing risk and eliminating routine operational tasks. Offering global business accounts, payments to 180 countries in 30+ currencies and currency risk management solutions to simplify global payments. OFX further enhances business operations by providing corporate cards with spend management, bill payments, vendor management, and integrations with popular accounting and HRIS software, to help achieve better business solutions so accounting firms and businesses thrive. Headquartered in Sydney, Australia, with offices globally, in the United States, Canada, United Kingdom, Ireland, New Zealand, Singapore and Hong Kong. OFX has been a trusted innovator in global money movement for over 25 years. Job Description What you do Your role will perform a range of engineering and analytics tasks as part of a cross-functional data and insights team. Day to day, you will: Analyse data, looking for patterns and correlations, mapping out customer journeys and deriving new insights Partner closely with one of our business domains, becoming a Subject Matter Expert in their data and training them in how to use it Create new data models, transformations, and visualisations, with a focus on driving self-service and data literacy for our business users Work within a wider engineering and insights team, adopting and contributing to best practices for data modelling, transformation, and analysis Coordinate with engineering teams to diagnose and resolve any production issues which arise, turning resolutions into repeatable patterns which can be used to drive continuous improvement to our systems and processes Qualifications What you bring At least 2 years’ experience in Python, SQL, Cloud Data Warehousing, and Data Visualisation A proven track record of delivering high quality insights to business stakeholders, and driving data-based decisioning Experience with working across engineering and insights teams to implement and maintain production solutions Previous exposure to event-based data sources and near real-time analytics Curiosity for exploring, interpreting, and understanding data Good to have Previous domain experience in the Financial Services industry Experience with BigQuery, Looker Studio, Mixpanel, or DBT Familiarity with the One Big Table (OBT) design pattern Knowledge and expertise in predictive analytics, machine learning, or artificial intelligence Previous experience operating in an agile development team which uses Kanban methodology Additional Information What it's like working at OFX We’re OFXers because we want to make a difference. We see challenges as opportunities and we’re not afraid to roll up our sleeves to get stuff done. We’re committed to making things easier for our clients, pushing boundaries and continuing to move with the times so that we can continue to inspire confidence every day and through every transaction. We operate as one team, cross-functionally and globally, to drive outcomes that deliver excellence for our customers. We're curious self-starters who love learning and sharing our knowledge with others. We embrace change and use our initiative and resilience to overcome challenges. Always keep learning. We offer a wide range of learning and career development opportunities to help every OFXer build their capacity and career, with leadership training, secondments, internal mobility and access to a large library of online learning. Make a difference. Through our Make a Difference program, we encourage OFXers to give back to causes and communities that are important to them. We celebrate this with an annual volunteer day, which OFXers can use together or individually, as well as matched giving and the opportunity to nominate charity of choice every quarter. Reward and recognition. We recognise a job well done. OFXers are encouraged to celebrate their peers’ effort, technical expertise or support through a range of global and regional channels and awards, including quarterly and annual awards, milestones and shout outs. Showing our social side. Our Good Vibes employee-led committees around the globe organize events to help keep our employees engaged inside and outside the office. Whether it’s a wellbeing activity, end of year celebration, or a monthly team get-together, our team wants you to feel welcome! Benefits that mean something. We offer a range of fantastic benefits, primary and secondary gender neutral carer parental leave (16 weeks) and birthday leave, you'll feel well-supported at OFX. A great work environment. Enjoy work-life balance and flexibility with our hybrid work model, in an inclusive, diverse and non-hierarchal culture. At OFX, we are committed to fostering a diverse, inclusive and accessible workplace where we value, respect, and encourage our people to be their authentic selves. With an employee base as diverse as the clients we serve, we know that fostering an inclusive workplace is fundamental to our continued success. If you require accommodation for any portion of the recruitment and hiring process, please email us at [email protected]. We encourage you to apply if this role aligns with your career aspirations.

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Responsibilities

The Analytics Engineer will analyze data to identify patterns and insights, and partner with business domains to enhance data usage. They will create data models and visualizations while coordinating with engineering teams to resolve production issues.