MarTech & Analytics Manager

Job Description

Location: Design & Support Centre, Sydney, NSW, AU Date Posted: 10 March 2025 Since 1977,King Living has pioneered quality Australian design, continually pushing the boundaries of what furniture can achieve. Designed to adapt to our changing lives and last for generations, our furniture marries the power of innovation with traditional handcrafted methods. King Living has expanded from a homegrown business into a global brand. A family owned and run Australian company headquartered from our Support Office in Sydney, our Showrooms and manufacturing centres span Australia, New Zealand, United Kingdom, Canada, Singapore, Malaysia, USA, China and Thailand. AtKing Living , we are dedicated to creating simplicity and balance in both our living spaces and our work environment. We take pride in our past accomplishments and are thrilled by the possibilities of the future. The Opportunity The MarTech & Analytics Manager is responsible for leveraging marketing technology and data insights to enhance King Living’s global marketing strategies and customer experiences. This role blends marketing automation, analytics, and strategic problem-solving to drive personalisation, optimise campaign performance, and improve engagement. In this role, you will lead the development and execution of MarTech solutions, establish robust reporting frameworks, and advance analytics capabilities to support brand objectives and growth strategy. Additionally, you will oversee data integration across platforms, maximise the value of first-party data, and enable data-driven decision-making across marketing and eCommerce. The Role Develop and manage automated reporting dashboards to track marketing performance across digital, traditional, and omnichannel campaigns. Extract, transform, and analyse data from multiple sources (e.g., CRM, web analytics, paid media, sales, and customer feedback). Write complex SQL queries to extract, clean, and manipulate large datasets for in-depth marketing analysis. Analyse key performance indicators (KPIs) such as ROI, customer acquisition cost (CAC), lifetime value (LTV), churn rate, and conversion metrics to identify opportunities for optimisation. Build predictive machine learning models and forecasting tools to anticipate customer behaviour and campaign performance. Own the MarTech stack by managing and optimising tools such as Google Analytics, CDPs, CRM systems (Marketing Cloud), and marketing automation platforms. Develop automated data pipelines to streamline data ingestion and integration across marketing platforms. Collaborate with developers and IT teams to develop API integrations, custom scripts, and data automation solutions. Perform in-depth analysis of customer segmentation, retention trends, heatmaps, conversion rates, website drop-off points, and purchasing behaviours to inform and refine targeted marketing strategies. Present insights to senior stakeholders in clear, visual storytelling formats (dashboards, presentations, reports) to influence strategic direction. Design A/B tests, multivariate experiments, and lift studies to measure marketing impact and inform future investments. Provide data-backed recommendations on budget allocation, audience targeting, and creative effectiveness. Transform complex data into clear, actionable insights that drive marketing, product, and business decisions. Partner with brand, media, content, and e-commerce teams to ensure data insights inform creative and strategic decisions. About You Bachelor’s or Master’s degree in Marketing, Business Analytics, Data Science, Computer Science, or a related field. 5+ years of experience in marketing analytics, digital analytics, or MarTech, preferably in a retail or e-commerce environment. Proven track record of building and optimising marketing reporting frameworks to improve ROI and efficiency. Hands-on experience with data querying, automation, and analytics tools in a fast-paced marketing environment. Critical thinker and problem solver – able to translate business questions into data solutions. Excellent communicator – able to explain complex data insights in a clear, actionable way. Strong ability to influence senior stakeholders with data-backed recommendations. Proactive, highly organised, and detail-oriented with the ability to manage multiple projects. Technical Skills Expert in SQL – writing and optimising complex queries for data extraction and transformation. Experience in Python and/or R for data processing, automation, and predictive modelling. Knowledge of JavaScript for implementing custom tracking scripts and troubleshooting analytics/debugging issues. Advanced proficiency in analytics platforms (Google Analytics 4, Adobe Analytics, Mixpanel, Amplitude). Strong experience with BI & visualisation tools (Tableau, Power BI, Looker). Hands-on experience with marketing automation and CRM tools. Deep understanding of tag management, tracking pixels, and server-side analytics. Experience with statistical modelling and automation is a plus. Knowledge of API integrations, data pipelines for MarTech platforms. Our Values Passion, Integrity, Collaboration, Innovation – these are the values that unite us, inspire us and set us apart. They’re not just words; they’re the heartbeat of King Living, pushing us to be our best. King Living Benefits and Our Offer to You Career development and ongoing training. Supportive and friendly team environment with a true family feel. Generous employee, family, and friends ‘product discounts. Discounted health insurance, retail brands and vouchers. Paid Parental leave. Australian owned company with a growing global footprint. EAP to support your ongoing health and wellbeing. For roles based in our Design & Support Centre there is plenty of parking onsite available. Our hiring decisions are not only based on your experience and skills, but your passion, attitude and alignment to our core values. King Living is an equal opportunity employer, all applicants will be considered regardless of your race, sexuality, religion, colour, gender identity or parental status. Apply Now To apply for this role please complete the form below. #J-18808-Ljbffr