Data Analyst (m/f), Gaillard

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Key tasks & responsibilities

• Data mining or extracting usable data from valuable data sources
• Develop and maintain complex data pipelines : Processing, cleansing, and validating the integrity of data to be used for analysis
• Enhancing data collection procedures to include all relevant information for developing analytic systems
• Help find the best dataset for specific business projects
• Being an active interface with external consulting companies to access the data and make them available in the optimal format
• Learn new technologies and their optimal application to our context : Developing prediction systems and machine learning algorithms
• Support data analytics automation to reduce time consuming and repetitive tasks
• Analyzing large amounts of information to find patterns and propose solutions and strategies to tackle business challenges
• Communicate in a clear and concise way using the most appropriate approach for each different stakeholder
• Collaborate with Business and IT teams, locally

Who you are

• Graduate degree in quantitative field (Statistics, Management Science, Engineering, Finance, Applied Mathematics, Business Administration etc.)
• 3 to 5 years of experience
• Strong analytical skills, team playing and communication skills
• Strategic business acumen, focus on results, Problem-solving aptitude, passion for keeping up with technology trends.
• Experience in data modeling, wrangling and visualization
• Strong Software Engineering Background (Tableau, QlikView, Power BI, Google Analytics,…)
• Knowledge of SQL and NoSQL solutions and data warehousing platforms
• Knowledge of the most important Machine Learning models (classification, regression, clustering, time series analysis)
• Fluent in French and in English