Senior Manager Data

About Showpo Showpo is the Australian owned, global, social media‑led e‑commerce brand redefining fashion retail for the new generation. It was established in Sydney in 2010 from founder Jane Lu’s garage and has since disrupted the traditional retail model, becoming a global fashion destination and one of Australia’s largest social‑media successes. The company empowers women worldwide and continues to grow as one of Australia’s most successful brands. The Role An exciting, newly created opportunity has arisen to join Showpo at a critical time as our Senior Manager – Data Analytics As Senior Manager – Data Analytics, you will own and lead the Data & Analytics function, working closely with the General Manager and wider Leadership team to have a substantial impact on operations and customer experience. You will ensure the organisation leverages data effectively across product, marketing, merchandising and operations, combining technical expertise, strategic vision, and leadership, with a talent for collaboration and guiding teams to optimise the use of data. Day to day, you will: Develop and execute the company‑wide data and analytics strategy aligned with business objectives. Act as a trusted advisor to senior leadership and the executive team, providing actionable insights and recommendations. Drive a data‑driven culture across the organisation, ensuring decisions are evidence‑based. Lead the development of actionable business insights across merchandising, marketing, customer experience and operations. Identify trends, opportunities and risks using predictive analytics, modelling and performance measurement. Partner with teams to design dashboards, KPIs and reporting frameworks that drive performance. Lead and drive delivery on projects in collaboration with other departments, including post‑Shopify implementation data tasks, platform and system integrations/deactivations and data migration projects. Collaborate closely with the General Manager on all data tasks and projects, advising on best practice, process improvements and optimisation of the department. Who are you? Previous experience in a senior Data & Analytics role. Highly proficient in SQL with the ability to interpret & analyse datasets of all sizes for insights. Extensive experience with Google Analytics (please highlight in CV). Strong grasp of statistical concepts. Commercial acumen and strong stakeholder management skills. What's in it for you? 50% staff discount, monthly staff sample sales, dog‑friendly office, plus discounts at Peaches Pilates studios and the cinema. Hybrid office environment with flexibility. Showpo paid 24/7 GP access through our Updoc employee healthcare benefit (including prescriptions and referrals sent straight to your phone). Enjoy financial advice and discounts through our Commbank Workplace Banking Program. We encourage our team to make time for fun – from Games Night and Scavenger Hunts to Friday bubbles and the “I S**t Rainbow” recognition awards. Your growth matters – you’ll get a tailored development plan and opportunities to make real impact. Showpo Coffee Club, Showpo Wellness Club. Paid parental leave. We support The Hunger Project through our donations, staff sample sales and yearly edits. Showpo is a fully accredited Endometriosis friendly workplace through our EndoThrive Workplace programme. Seniority level Not Applicable Employment type Full‑time Job function Information Technology Industries Retail Is this you? Click apply to find out more At Showpo we are committed to fostering an environment where everyone can belong and be their authentic selves. We strive to create a culture that reflects the diversity of our customers, where differences make us stronger and help us become better humans. We celebrate our people and support them, ensuring we’re a workplace welcoming to all, where everyone can bring their whole selves to work. We are on a journey and sometimes might make mistakes, but we are committed to learning, growing and backing up these words with positive action. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr