For our client, an international company in Zurich, we are looking for a Business Analyst
- Start date: ASAP - End: 1 year - Extension: possible - Workplace: Zurich - Workload: 100% Tasks & Responsibilities: - Deploy a Global Best in Class, Collaborative, Agile and Real-Time Regional and Differentiated distribution network delivering a ?Unique Customer and Patient Experience? - Provide to operational teams metrics on performance to support them to deploy innovative best practices on distribution and warehousing processes and systems - Design and implement analytical solutions to support operational teams and facilitate their internal and external performance dialogue processes - Act as Subject Matter Expert for data and digital topics related to warehousing metrics and per-formance calculation, including data domain ownership. Accountabilities - Consolidate warehousing metrics to be centrally reported and utilized by operational teams - Support QBRs and RFI/RFQs preparation by building, maintaining and refreshing dashboards used to measure 3PLs metrics and performance - Analyze large warehousing datasets to determine patterns, trend, insights for continuous impro-vements with OpUs and Business Units - Provide support and solutions to reporting and analytical needs raised by operational teams and ensure alignment between all involved teams - Prepare all data for monthly budget variance analysis (includes trend analysis) - Ensure warehousing related data is reported accurately and timely Must Haves: - Excellent knowledge of data analysis and visualization solutions (PowerBI, Qlik) - Good knowledge of programming languages such as python, SQL or R - Familiarity with statistical analysis and data modeling techniques. - Knowledge of logistics & distribution processes ? especially in pharmaceutical industry ? is appreciated - Knowledge of manufacturing and commercial processes & procedures is appreciated - Knowledge ofGood Dristribution Practices (GDP) requirements is appreciated Education & Skills: - Bachelor\\\'s degree in Data Science, Statistics, Computer Science, or a related field. A Master\\\'s degree is a plus. - Proven experience as a Data Analyst or in a similar role. - Strong problem-solving skills and attention to detail. - Ability to work independently and as part of a team. - Good leadership, networking and influencing skills - Good intercultural skills - Good business acumen & financial analytics skill - Ability to present ideas with clarity, conviction and confidence - Fluent in English orally and writting Temporary