Job Description
For our research and development site in Schwabenheim (near Mainz) we are recruiting for a Senior Data Analyst (m/w/d) in a permanent and full-time position.

QUALIFICATIONS:

• Degree in computer science or related STEM fields
• MS/BS in IT, Chemistry / Biochemistry / Biophysics with a computational emphasis and 3+ years of experience in the pharmaceutical or biotech industry
• Effective at working with business partners to understand their needs in order translate them into clear requirements.
• skilled in data analytics in the field of chemistry and ideally biology (e.g. Spotfire, MS Power BI, Pipeline Pilot, SQL)
• Knowledge of project management tools like JIRA, Teams, Confluence
• Advanced knowledge and expertise in agile ways of working e.g. scrum or kanban
• Dynamic personality with a passion for innovation and problem-solving
• and excellent collaboration, and team-working skills
• Excellent communication and writing skills in English

TRAVEL REQUIREMENTS:

10%

REQUIRED SKILLS:

Agile Methodology, Agile Methodology, Assay, Assay Development, Biochemistry, Bioinformatics, Biophysics, Business, Business Analysis, Client Partnerships, Customer-Focused, Data Analytics, Deliverables Management, ETL Pipelines, Facilitate Training Sessions, Functional Expertise, Immunochemistry, Incident Management, Intellectual Curiosity, IT Infrastructure Management, Laboratory Informatics, Management Process, Platform Strategy, Risk Management, Security Management {+ 5 more}

• Develops data analytics and reporting solutions by studying information need within R&Ds; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; follows the SDLC software development lifecycle.
• Demonstrate excellence in assays used in pharma R&D and Quality Control (QC) of biological batches
• Act as a product owner and define the strategy for the calculation and assay trending platform used in R&D and Manufacturing to release product batches and perform data trending with high levels of problem-solving and creativity
• Steering research projects and activities within R&D IT applying and using agile methodologies (e.g. Scrum)
• Lead and develop the product platform strategy in close partnership with the business
• Apply innovative methods to visualize and interrogate complex data sets
• Demonstrate a personal commitment to extend and develop knowledge and expertise
• Participate in collaborations within our global research and IT organization to ensure that current computational assay calculations and trending knowhow and tools are leveraged for R&D in animal health
• Act as a scientific counterpart for R&D for the operation and implementation of R&D applications with focus on data
• Utilize analytical applications to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into risk management and marketing strategies that drive value.