Data Analytics Lead

vor 4 Wochen


Council of the City of Sydney, Österreich HUB24 Limited Vollzeit

Get AI-powered advice on this job and more exclusive features. HUB24 leads the wealth industry as the best provider of integrated platform, technology and data solutions. At HUB24, we know the smartest investments start with our people. We are innovative and ambitious, and we move fast. At HUB24, we empower our employees to bring their ideas and creativity to work. Rather than getting bogged down in bureaucracy and red tape, we build a culture that supports our team members to have a real impact on our business and the success of our customers. HUB24 Limited is a company listed on the Australian Securities Exchange (ASX: HUB) THE HUB24 STORY We think creatively and we’re not constrained by traditional thinking or barriers to success. We’re led by experts, realists with ideas, grounded in commercial reality who are bold enough to visualise the future a little differently and to advocate for what matters to our clients. We are here to lead change and are committed to empowering better financial futures for more Australians. Benefits And Life At HUB24 Learn more about our employee benefits HERE. Job Summary We are seeking a strategic and business-oriented Analytics Lead to drive data-informed decision-making at HUB24. You will work closely with stakeholders to translate business goals and challenges into actionable analytics solutions, delivering measurable impact. With a strong grasp of the HUB24 data landscape, you'll design scalable, reliable solutions that support key objectives and influence critical decisions across projects and planning. As a team leader, you’ll also mentor analysts and ensure high-quality delivery aligned with business priorities. Responsibilities Identify and assess business needs where data analytics can provide effective, high-impact solutions. Design, develop, and deliver mature, reliable, and scalable analytics solutions aligned with strategic goals. Generate objective, actionable insights that drive measurable business outcomes. Apply advanced analytical and statistical modelling techniques where required to enable step-change improvements in business operations and overall maturity. Act as a central point of contact between the broader Data Science & Analytics (DS&A) team and the business. Manage and prioritise incoming requests and programs to ensure alignment with strategic objectives. Collaborate with sub-teams—including Data Engineering and Data Visualisation—to define and deliver end-to-end analytics program waypoints. Coordinate technical, resourcing, and scheduling requirements across teams and communicate these clearly to all relevant stakeholders. Proactively engage with key stakeholders across the business to understand priorities, opportunities, and challenges. Identify and leverage existing or new data assets to deliver commercial insights that support critical business initiatives. Provide in-depth analysis to support key decision-making processes and execution strategies. Build and maintain trusted partnerships with business leaders to become a valued member of the strategic decision-making team. Requirements Bachelor’s degree in Data Science, Mathematics, Statistics, or a related field. Strong knowledge of advanced statistical techniques and their practical applications. Proficiency in SQL and Python for data manipulation, analysis, and modelling. Proven experience applying analytical thinking, design thinking, and critical problem-solving to real business challenges. Demonstrated success in applying advanced statistical modelling to deliver measurable business outcomes. Experience in business partnering and influencing decision-making across multiple business units through data-driven insights. Background in Financial Services or Data Analytics Consulting is highly regarded. Leadership experience in managing or mentoring small teams or project groups. Hands-on experience with Databricks, DBT, or similar modern data platforms. Exposure to analytics across functions such as Customer, Marketing, Operations, or Process Optimisation. The Recruitment Process Acknowledgement email once your application has been submitted. Our Talent team will start reviewing your application. If unsuccessful, you will be notified. If your application progresses to the next stage, our Talent team will be in touch to discuss your alignment with the role. If you’re a person with an impairment or disability, this is an opportunity to share with us any accessibility requirements that you may have for the role. Should you require any accommodations to the recruitment process, please email , and one of our team will contact you. Interviews can happen virtually or face-to-face with the hiring manager or other members of the broader team. Depending on the role, there may be more than two interviews. Communication of outcomes to successful and unsuccessful candidates and feedback provided. As part of our process, a police check will be conducted on all successful candidates*. Further details on our HUB24 Group Recruitment Privacy Collection notice can be found here. Recognition and Diversity 2024 Circle, Back Initiative Employer – we commit to respond to every applicant. Endorsed by WORK180, we are recognised as an employer of choice for women. We have been nominated and placed on the BOSS Best Places to work list. Seek Star Awards 2024 - Nominated as a finalist for the Best Employer Brand Initiative. HUB24 is an equal opportunity employer. We are committed to an inclusive environment with diverse perspectives. We welcome applications from Aboriginal and Torres Strait Islander peoples, people with disabilities, people from culturally and linguistically diverse communities, and people of all gender identities and sexual orientations. If you require adjustments to the recruitment process or have accessibility requirements, please let us know – we’re here to support you. Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Location and posting history is provided for context and does not affect the application process. #J-18808-Ljbffr



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