Manager, Market Modeling, Analytics & Insights
In billions of syringes and in every second car worldwide, Datwyler components make an important contribution to the safety of patients and drivers. The high-tech company focuses on high-quality, system-critical elastomer components and holds leading positions in attractive global markets such as healthcare, mobility, connectivity, general industry and food & beverage. With over 25 production sites on four continents, sales in more than 100 countries and over 8,000 employees, the company, headquartered in Switzerland, generates annual sales of more than CHF 1,000 million.
Our employees are the heart of Datwyler - we treat each other with respect, trust and appreciation. We have strong roots and values that have been well established in our 100-year corporate history. Become part of our great team as a Manager, Market Modeling, Analytics & Insights
Key Responsibilities
- Strategic Insight Generation:
- Lead the development and execution of strategic and technical marketplace understanding, encompassing primary and secondary research methodologies, alongside strategic and tactical forecasting and analytics.
- Proactively analyze complex market data from diverse sources, transforming it into actionable intelligence that directly supports business strategy and performance improvement initiatives.
- Provide mid-to-long range forecasting of key platform markets and market share across priority geographies.
- Market Research & Competitive Intelligence:
- Lead comprehensive primary and secondary market research initiatives to develop a profound understanding of market dynamics, customer preferences, and competitive landscapes within specific business units.
- Collect and analyze data on market trends, customer preferences, and competitive products, including designing surveys, conducting interviews, and interpreting large sets of quantitative data.
- Continuously monitor and stay current with industry trends, the competitive landscape, and broader market dynamics to proactively identify and address emerging opportunities and threats.
- Cross-Functional Collaboration & Stakeholder Influence:
- Influence multiple stakeholders and senior leaders by providing consultative thought partnership and facilitating discussions to drive initiatives forward and enable better data-driven decisions.
- Collaborate across departments to understand client needs and deliver tailored intelligence, building and maintaining effective relationships with leadership and cross-functional stakeholders.
- Data Management & Reporting Excellence:
- Design, build, and maintain interactive dashboards and reports, converting complex data and findings into clear tables, graphs, and comprehensive written reports for various audiences.
- Monitor key performance indicators (KPIs), track trends, and make proactive, data-backed recommendations for strategic and operational improvements.
- Help automate repetitive reporting processes and continuously improve overall data workflows for greater efficiency, contributing to the evolution of Business Intelligence (BI) best practices and governance frameworks.
Qualifications
- Education:
- A minimum of a Bachelor’s Degree (BS/BA) in Business, Data Analytics, Statistics, Computer Science, Economics, Marketing, or a closely related field is required.
- A Master’s Degree (MBA or MS) in Data Science, Business Intelligence, Epidemiology, Public Health, or a related analytical discipline is preferred.
- Experience:
- 3-5 years of progressive experience in market research, forecasting, strategic insights, business analytics, or a similar role within the pharmaceutical or healthcare industry.
- Experience in New Product Development and Innovation processes is preferred.
- Proven track record of working effectively in a matrix organizational environment, where a high degree of collaboration and influence is consistently required.
Essential Skills
- Technical Proficiency:
- Data Analysis & Visualization: Proficiency in industry-leading analytical and business intelligence tools such as Power BI, Tableau, or Qlik Sense.
- Statistical & Scripting Languages: Familiarity with scripting languages like Python or R for advanced data analysis and statistical modeling is preferred, along with proficiency in statistical analysis software such as SPSS or SAS.
- Database Querying: Ability to write and optimize complex SQL queries for extracting, joining, and aggregating data from various sources, with a solid understanding of data modeling and data warehousing concepts.
- Soft Skills & Business Acumen:
- Communication & Data Storytelling
- Analytical & Critical Thinking
- Proactive & Independent
- Project Management & Adaptability
Be yourself at Datwyler
We are convinced that people make the difference. At Datwyler, you will experience diversity and a wide range of career opportunities that only an international company can provide. Together, we are increasing our agility, accelerating digitalization and fostering sustainability. For motivated and talented employees, we offer interesting development opportunities with training and assignments in a global environment. With us, you can contribute with all of your creativity and all your ideas.
www.datwyler.com
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