Lead Marketing / Commercial Analytics Specialist

Key Responsibilities:1. Investment Simulation and Financial Planning: Support markets with ENSUM+(Expert Net Sales Uplift Model) modelling for Expert-related financial planning. Develop and run ad-hoc investment choice simulations to inform local decisions. Empower markets with actionable insights.2. Meta-Analysis and Knowledge Sharing: Consolidate ENSUM+ & Expert MMM learnings from markets to inform central analyses and business-wide applications Identify Expert growth drivers and support prioritization across BMCs.3. Data Quality and Transformation: Conduct data quality audits and transform Expert-related datasets for use in MMM and other analytics. Enable reliable and accurate data for value tracking and decision-making.4. Data Infrastructure and Automation Support: Transition Expert tracking data to centralised systems. Support implementation of new analytics use-cases requiring data asset access and triangulation.5. KPI vs. Market Sales Analysis: Lead end-to-end analysis triangulating Expert KPIs with market share/sales data. Deliver insights to support investor relations and executive decision-making.6. Testing and Validation: Design and execute new test-and-learn experiments identified in the 2026-27 roadmap. Improve predictive models and business planning assumptions. Run validation of tools/modelsSkills & Experience Required:Proven statistical modelling experience in a commercial/marketing context (e.g. regression/time series, attribution, propensity, conversion, what-if)Proven hands-on data capability: SQL + (Python or R), Excel (PowerQuery, VBA) Ability to translate analytics/modelling outputs into business decisions (clear storytelling, recommendations to non-tech stakeholders, stakeholder engagement)Comfort working across multiple data sources/systems (Enterprise data environments)Minimum 5+ years of relevant experienceNice to Haves:Experience delivering analytics products (dashboards/reporting/automation OR model outputs used by non-tech stakeholders)Econometrics modelling (MMM, adstock/saturation/lag etc)Sales performance measurement (Sales force effectiveness, CRM activity analytics)Survey analytics (e.g SPSS)Power BI (or other viz tools)Cloud platforms (Azure/Databricks etc)Healthcare/OTC/HCP domain experience