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/models
Qualifications :
Skills & 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 experience
Nice 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
Additional Information :
What we offer
- Work for international client
- Bonuses based on performance
- Benefits (you can choose from a variety of options: MultiSport card private medical care in Luxmed cinema tickets vouchers to different shops etc.)
- Employee Support Program - mental and legal support program dedicated for WNS employees and members of their families
- Empowering CSR initiatives - WNS supports charity events
Remote Work :
Yes
Employment Type :
Full-time
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....
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/models
Qualifications :
Skills & 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 experience
Nice 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
Additional Information :
What we offer
- Work for international client
- Bonuses based on performance
- Benefits (you can choose from a variety of options: MultiSport card private medical care in Luxmed cinema tickets vouchers to different shops etc.)
- Employee Support Program - mental and legal support program dedicated for WNS employees and members of their families
- Empowering CSR initiatives - WNS supports charity events
Remote Work :
Yes
Employment Type :
Full-time
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