WNS
Expert Data & Analytics Specialist
WNSPoland6 hours ago
Full-timeGeneral Business

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


Skills & Experience Required:


  • Proven experience with financial modelling and investment simulations within marketing or commercial-related fields (e.g., funnel conversion modelling, what-if simulation, predictive, attribution, propensity modelling, etc)


  • Strong background in marketing mix modelling (MMM) and advanced data analytics


  • Proficient in data transformation, audit, and visualization tools (e.g., SQL, Python, Power BI)


  • Experience with sales/KPI and performance measurement


  • Ability to synthesize complex data into actionable business insights


  • Familiarity with enterprise data systems and cloud-based analytics platforms


  • Excellent translator of business requirements and stakeholder communication

Key Skills

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