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Integrated Insights Business Partner

Job in 6343, Rotkreuz, Kanton Zug, Switzerland
Listing for: Novartis Farmacéutica
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CHF Yearly CHF 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Rotkreuz

Location:

Rotkreuz, Switzerland

Purpose of the role

The Integrated Insights Business Partner is a country-level role within the Integrated Insights and DAP (Data Analytics & Platforms) pillar of Execution Excellence at Novartis Pharma Switzerland. The role exists to do one thing exceptionally well: turn data into insights that move the needle for assigned Therapeutic Area(s) and Value & Access (V&A). This is a strategic insight role with strong applied analytical depth.

Integrated Insights Business Partners go beyond reporting what happened, they explain why it happened, what it means, and what the organization should do about it. They translate the complexity of the Swiss market, local commercial activity and global trends into clear, actionable recommendations that influence brand and access decisions at the TA Head and senior leadership level.

Major Accountabilities
1. TA / V&A Strategic Insight Partnership

Act as the primary Integrated Insights point of contact for assigned TA(s) and/or V&A, partnering directly with TA Heads, Sales Heads, brand teams, and V&A leads as a trusted analytical advisor. Translate TA, brand and access strategies into a clear insight agenda, defining the business questions that matter most and shaping a hypothesis-driven research and analytics plan to answer them. Move the function beyond reactive reporting toward proactive, hypothesis-driven and forward-looking insight generation, bringing emerging market signals, customer behavior shifts and competitive moves to the table before the business asks.

Consolidate insight needs across TA, Commercial, V&A and Medical Affairs stakeholders (within appropriate medical/commercial separation), ensuring a unified, prioritized insight agenda for the assigned scope. Challenge senior business leaders constructively, ask the right questions at the right time, and bring intellectual honesty to interpretation of results, including uncomfortable findings.

2. Performance Insights & Dashboard Stewardship

Own the analytical narrative across performance dashboards for assigned TA(s)/V&A, covering Commercial KPIs (sales, market share, field execution), field engagement metrics (rep activity, omnichannel engagement, customer reach), V&A KPIs (access milestones, payer metrics) and analytics support for Medical Affairs (medical field engagement and other analytics), with appropriate separation between commercial and medical views maintained throughout. Define and evolve KPIs, performance metrics and Commercial Success Indicators (CSIs) in partnership with TAs, Sales Managers, V&A and the DAP Manager, ensuring dashboards remain decision-relevant as the business evolves.

Build ad-hoc analytical views, deep-dives and bespoke Power

BI dashboards directly when business questions demand it; partner with the DAP Manager when the work requires enterprise data modelling, production-grade infrastructure or scale beyond a single-purpose analysis. Validate analytical integrity and accuracy of enterprise dashboards from a business perspective, continuously simplify and improve them for stakeholder adoption. Use dashboards as a primary storytelling tool, interpreting trends, highlighting "so what" implications, and turning numbers into clear narratives for TA business reviews, brand plan reviews and senior leadership forums.

Ensure integration of internal KPIs with external data sources (e.g., IQVIA panels, OFAC, wholesaler data, secondary market data, competitive intelligence) into holistic views of market, customer and brand performance. Act as the local single point of contact within TA for secondary data and insights (e.g., IQVIA, OFAC).

3. Forecasting, Lifecycle & Field-to-Sales Analytics

Prepare and maintain TA/V&A market assumptions and definitions used in forecasting (epidemiology, uptake, competitor events, access milestones), aligned with Integrated Insights frameworks and global standards. Build and run quantitative forecasting models (time-series, regression-based and scenario-driven) directly in Python or equivalent, partnering with TA, Finance and V&A to contribute robust market and access inputs into product/TA forecasts. Conduct product lifecycle analyses for assigned brands, understanding where each brand sits in its lifecycle, what's driving current performance, what to expect next, and what strategic implications follow for brand and access teams.

Quantify the relationship between local commercial activity and business outcomes, running correlation, regression and uplift analyses linking field engagement (rep calls, omnichannel touches, MCE/IMEx execution, campaign exposure) to sales performance, identifying what's working, what isn't, and where ROI improvements lie. Monitor product launches for early signs of under- or over-performance; build predictive models that estimate uptake versus plan; surface early warning signals and translate them into commercial recommendations.

Provide inputs to Field Incentives and OpEx Manager for incentive target setting,…

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