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Job Description
As a Technical Analyst within the Experiment Design and Execution Product Line at our organization, you will enable capabilities that help scientists operate and execute experiments utilizing their day-to-day operational and transactional solutions that facilitate the research process.
Primary Responsibilities:
Work closely with product managers and technical teams to identify opportunities for improving our product offerings and ensure the smooth performance of existing applications
Design, Develop, and Maintain business intelligence solutions to represent key scientific data using Microsoft Power BI, Spotfire or any other visualization tool.
Collaborate with stakeholders to gather and understand requirements for data visualization and reporting.
Create data models and define relationships between data sources for efficient data retrieval and analysis.
Implement data transformations, calculations, and aggregations using Power Query and DAX.
Extract, transform, and load (ETL) data from various sources into Power BI
Cleanse and transform data to ensure its accuracy, consistency, and reliability.
Develop data pipelines and workflows to automate data integration and preparation processes.
Apply best practices for data visualization to ensure effective communication of insights.
Document data models, data sources, and transformation processes for future reference and knowledge sharing.
Help in the development and enhancement of Continuous Integration and Continuous Delivery (CI/CD) pipelines aimed at improving development cycles and release reliability.
Occasionally, you may have the opportunity to travel internationally to support product demands and collaborate with global teams
Education Minimum Requirement:
Minimum of a bachelor’s degree in a scientific or technical discipline (such as computer science, engineering, biology, chemistry, etc.). Pharmaceutical experience preferred but not mandatory.
Required Experience and Skills:
1+ years of experience in IT with ability to architect, engineer, optimize and maintain software solutions to solve complex scientific problems.
Proficiency in data modeling, data integration, and data visualization concepts
Understanding of SQL and experience in working with relational databases
Ability to gather and analyze business requirements and translate them into effective data visualizations.
Strong problem-solving skills and attention to detail
Good knowledge of Data Visualization Tools (PowerBI, Sportfire)
Desired Technical Skills:
Experience working across Research Discovery, Pre-Clinical and/or Clinical Business areas.
Experience with Entity Registration and Inventory & Sample Management capabilities.
Understanding of Laboratory Application and Vendor Landscape.
Experience with platforms such as Power BI, Power Platform.
What we offer:
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern (e.g. even 80% full-time is possible in justified cases)
Pension and health insurance contributions
Internal reward system plus referral programme
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen Bank, and Mall.cz discount programs
Parking in the garage, showers, refreshments, massage chairs, library, music corner
Competitive salary, and many more
Current Contingent Workers apply
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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