At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
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**Job Function: **
Data Analytics & Computational Sciences
**Job Sub Function: **
Business Intelligence
Job Category:
Professional
All Job Posting Locations:
Zug, Switzerland
Job Description:
Job purpose
- Enables sharper data driven decisions accelerated by speed, clarity, ownership and continuous optimization
- Acts as a pro-active sparring partner to the Commercial Directors & Business Unit Leads to provide high-impact, actionable business recommendations on where and how we win
- Connects deep business insight, integrated performance views and strong strategic partnering
Job responsibilities
Sales forecasting
- own and drive short range financial planning incl. forecasting and business planning (BP), including storytelling towards Senior Management
- articulate brands key business questions based on data driven decisions
- ensure continuity and follow-up in terms of assumptions (on Sales drivers specific to therapeutic areas/on competition, on launches, on Risks /Opps) across planning cycles
- own & understand forecasting models, collaborate on the models with EMEA/create and maintain high quality supportive analytics
- Constantly scan Data environment to fill internal models with best-in-class data from the market. Actively manages Data Suppliers in quality/sustainability standards
- support IBP, closely aligned with forecasting
Insights Generation & Market research
- generate insights according to local Healthcare environment
- synthetize & bring insights on the country brand teams agenda, collaborate on insights across functions. Make insights actionable and drive execution upon findings
- look for insights beyond BI function, where data of interest could be triangulated (x-functional, x-country, across different channels (MR/adboards/consultancies/Market Access evaluations/field insights)
- competitive intelligence: ensure CI knowledge is reflected in local tactics & strategies across different data driven decisions on commercial execution /on field facing resourcing/on products features& positioning
- fill knowledge gaps with necessary market research, select MR suppliers, and feed insights across planning cycles & into executional tactics
Actual performance
- Connect strategy, field execution, digital analytics with relevant insights
- Country value team reporting - synthetize data, external insights, create recommendations and drive execution
- own performance dashboards landscape across org
- own automation initiatives/prioritize dashboards and collaborate internally /externally with EMEA on its developments
- Ensures scale, efficiency and sustainability sourced from simplification, automation and smarter use of technology and AI
Strategic Country Value Team projects
Business cases & opportunities evaluation
Product launch excellence
- own analytical elements of strategic projects (resource allocation, go to market, customers segmentation, field force effectiveness, digital engagement monitoring)
- identify and elaborate Growth areas or Risk scenarios: quantify risks and opps in $
- build analytics to understand business opportunities (sizes of market segments/disease pathways influencing patients pools etc)
- own analytical element of go to market evaluations, global filing and launch strategy assessments, Business cases (market opportunity, epidemiology, customer segmentation, resourcing, etc)
- prepare pre-launch phase: initiate market research, utilize learnings from early launch countries, understand customer landscape, targeting, shape go to market model
- prepare respective models for bottom up planning if EMEA models don’t exist/collaborate with EMEA in new TAs to build up local knowledge
Value add to CVT/ Commercial Leads/Comm Dir
- Sparring partner to Commercial Leads/Comm Directors, active CVT member
- independent perspective, enrich and challenge commercial thinking on planning, execution KPIs, insights
- own brand analytics (sales, execution), including market insights on competitors
- co-own Brand story with commercial, translate aligned story across org levels (local brand team, regional brand team, mid-sized markets, etc)
- strong collaboration with all local brand team functions and outside of the operating company
- ad Hoc requests & projects: prioritize, manage multiple high-stake projects in parallel
- eliminate local non-efficient processes, drive change when needed
Simplification & Best practices & benchmarking
- utilize best practices across all products/regions (e.g. apply dashboards, reports being made available, benchmarking etc)
- connect with relevant benchmarking & early launch countries to leverage available data
- active participation of EMEA functional (BI) network - act upon EMEA projects/dashboards
- integrate new ways of working from BI reorg (reports /analytics/dashboards coming from centre of excellence etc)
Profile
- Academic background / working experience in business analytics/finance/informatics
- Required between 5 to 10 years BI & analytical functional experience
- Deep knowledge of Pharma industry and Health Care Environment
- Fluent in written and in spoken German and in English
- Outstanding collaboration skills, strong growth mindset
- Highly agile (mental resilience, results oriented, quick learning, change agent)
- Advanced business acumen and strategic thinking
- Ability to communicate at C-level
- Ability to translate complex concepts into simple relevant terms
- Strong analytical skills
- Ability to influence stakeholders and drive recommendations
- High sense of personal ownership for deliverables
- Ability to work /organize/ prioritize independently
- Ability to simplify processes/break down complex processes into “improvable” sub-processes.
**Required Skills: **
Preferred Skills:
Accountability, Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Requirements Analysis, Communication, Data Analysis, Data Governance, Data Modeling, Data Privacy Standards, Organizing, Problem Solving, Statistical Analysis Systems (SAS) Programming, Systems Development, Technical Credibility, Technical Writing, Workflow Analysis