Must be able to manage database processes and reporting structures
Extract and analyse data from core business systems such as engineering softwares, CRM,ERP, excel, or operational platforms using SQL or other appropriate methods.
Validate data accuracy, completeness, consistency; identify gaps or anomalies
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Data-Driven Growth Strategies: Develop and execute strategies to boost conversion rates, AOV, repeat purchases, and customer lifetime value (LTV).
Inventory & Demand Forecasting: Track stock levels to identify stock-out risks, slow-moving inventory, and shifting consumer demand trends.
Reporting & Dashboards: Prepare comprehensive daily, weekly, and monthly business performance reports, translating raw data into clear, actionable recommendations for management.
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Analyse user behaviour across onboarding, activation, repeat purchase, and long-term retention stages, evaluate triggers that influence habit formation and repeat purchase behaviour.
Translate insights into recommendations for lifecycle improvements (activation nudges, habit loops, repeat triggers).
Evaluate user sensitivity to promotions, points, loyalty rewards, and price changes by market.
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You will need to manage and priorities work on a daily basis in order to manage customers' expectations and the efficiency of the subject to demands of workflow.
Create, maintain and perform analytics and statistical reports required to assist all internal teams including Marketing, Trade, RMS and S&MS using your technical skills (SQL, SAS, R and/or Python)
Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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