Furnish clients with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines.Conduct data mining, data modelling, statistical analysis, business intelligence gathering, trending and benchmarking. Data analytics supports decisions for high-priority, enterprise initiatives involving IT/product development, customer service improvement, organizational realignment and process… Show more Furnish clients with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines.Conduct data mining, data modelling, statistical analysis, business intelligence gathering, trending and benchmarking. Data analytics supports decisions for high-priority, enterprise initiatives involving IT/product development, customer service improvement, organizational realignment and process reengineering.Developed intricate algorithms based on deep-dive statistical analysis and predictive data modelling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.Identified, measured and recommended improvement strategies for KPIs across all business areas. Show less

Worked closely with a wide range of Mercedes-Benz stakeholders, during their transformation to a ‘consumer first’ brand, driven by data insights. Focusing on identifying the areas where strategy and user experience are purely product-focused and not driven by the consumers’ needs; utilising their large structured, semi-structured, and unstructured data to drive retention and acquisitions.Initiated and managed the modernisation of outdated business unit reports by eliminating, condensing… Show more Worked closely with a wide range of Mercedes-Benz stakeholders, during their transformation to a ‘consumer first’ brand, driven by data insights. Focusing on identifying the areas where strategy and user experience are purely product-focused and not driven by the consumers’ needs; utilising their large structured, semi-structured, and unstructured data to drive retention and acquisitions.Initiated and managed the modernisation of outdated business unit reports by eliminating, condensing and rebuilding them to be consumer-focused and automated in Tableau. Efforts resulted in a 70% improvement in team efficiency by rewriting processes and procedures to reduce time spent on routine reports drasticallyDesigned and developed predictive models’ algorithms to track customer lifetime value, retention, attribution and propensity to repurchaseIntroduced new frameworks to build, track and analyse the user experience and purchase behaviour, to continuously drive improvements and develop a ‘customer journey’ modelWorked alongside Mercedes-Benz data engineers/developers and data governance team to review data procedures and validate multiple technical documentations, e.g. the implementation of SalesForce Marketing Cloud and CRM Show less

Contracted to gather qualitative and quantitative data, to develop an understanding of the donor behaviour, demographics and lifecycle. This helped guide the development of the new website and user experience, marketing and media efficiencies and general business decisions. Unified interactive internal reports and intelligence by combining internal donor records, online behaviour and third-party data within SQL. Enabled us to align KPIs across departments, resulting in coordinated… Show more Contracted to gather qualitative and quantitative data, to develop an understanding of the donor behaviour, demographics and lifecycle. This helped guide the development of the new website and user experience, marketing and media efficiencies and general business decisions. Unified interactive internal reports and intelligence by combining internal donor records, online behaviour and third-party data within SQL. Enabled us to align KPIs across departments, resulting in coordinated objective across the retention, acquisition, user experience and digital marketing teams. Developed RFM models in SQL and applied predictive modelling to relevant donor data to drive targeting strategies for donor acquisitions and retention, This resulted in a 5% increase in donor support. Show less

Working as a cross-functional analyst within the marking, tech, product and operations teams enable the collation, cleansing and the application of modelling and analysis of unstructured and structured data to improve efficiency and uncover oversights across the organisation. It enabled us to build coherent KPIs across the teams to ensure our targets aligned. It allowed us to develop an end-to-end consumer map from marketing communication to a full picture of users journey across devices.… Show more Working as a cross-functional analyst within the marking, tech, product and operations teams enable the collation, cleansing and the application of modelling and analysis of unstructured and structured data to improve efficiency and uncover oversights across the organisation. It enabled us to build coherent KPIs across the teams to ensure our targets aligned. It allowed us to develop an end-to-end consumer map from marketing communication to a full picture of users journey across devices. Co-Led initiative to use statistical modelling packages from R and python to build predictive model based on historical data to predict hourly, daily, weekly and monthly sales to understand operational and labour requirements, resulting in a 30% improvement in operational costsCoordinated task force to uncovering oversights and inefficiency in digital marketing spend and highlighting risk in the inefficient number of new customers acquired, resulting in $7.0M annual savingsIncreased gross profit by approximately 5% by automating outdated operational processes, revise top-down forecast algorithm, reduced expenses and cut down labour costsRun workshops for cross-functional team members in software applications (SQL, Tableau, etc.), database management, data and analysis interpretation, to encourage self-sufficiency in daily data needsWorked alongside the QA team to establish and verify the quality aspects and test procedures; reviewing and analysing to provide feedback on the QA program and test performance according to how consumers use specific features Show less

Collaborated with statistical and non-statistical colleagues to development secondary and primary research methodology, designing consumers surveys and analysing the statistical data, improve site conversion and user engagement. Developed a standardised cost forecasting method to reduce financial reporting preparation time by 80%.

Responsible for developing, implementing and analysing marketing campaigns, trends, customers, and competitors to identify optimal marketing plans, roll out top-performing initiatives, and drive market impact and sales performance. Supports ad-hoc reporting as needed.-Developed detailed forecast models against budgets, increasing accuracy for short- and long-term earnings estimates - Evaluated potential capital projects to understand cash flows, payback period, NPV and… Show more Responsible for developing, implementing and analysing marketing campaigns, trends, customers, and competitors to identify optimal marketing plans, roll out top-performing initiatives, and drive market impact and sales performance. Supports ad-hoc reporting as needed.-Developed detailed forecast models against budgets, increasing accuracy for short- and long-term earnings estimates - Evaluated potential capital projects to understand cash flows, payback period, NPV and ROI- Orchestrated strategic relationships with clients in Australia, New Zealand and the UK to negotiate contracts, prices and depth of project to identifying new revenue opportunities- Project managed digital marketing campaigns across affiliate networks, social media platforms, websites and eDM Show less