Lead Marketing / Commercial Analytics Specialist

Your responsibilities

• 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.

• 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.

• 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.

• 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.

• 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.

• 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/models

Our requirements

• 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 experience.

Optional

• 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