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MSD Senior Product Analyst 
Czechia 
605870281

24.11.2024

Job Description

Position Description:

You will work closely with multi-disciplinary teams helping to solve complex data problems. You will have to understand complexities in Research data and work with stakeholder, engineering team to make data understandable and accessible.

The Scientific Data Consumption Product Line (SDC) provides a combination of technology, infrastructure, software, and personnel to support large scale scientific data consumption and computing comprising of the Scientific Data Platform, Modeling and Machine Learning Platforms, High Performance Computing (HPC) workflows, and “experience” products such as visualization, modeling workbenches, and analytics developmentenvironments.

Key Responsibilitiesmay include but are not limited to:

  • Gathers, manages, and prioritizes product requirements that detail user problems and needs, technical constraints and strategic objectives.
  • Define, refine the product backlog and create actionable user stories for the development teams
  • Is a user expert and understands the reasons customers use the products.
  • Can justify improvements to existing products in a value focused manner
  • Defines what to solve by articulating the value of problems to be solved, along with priorities and justification for each part of the solution.
  • Develops and maintains relevant technical knowledge and/or specific domain expertise pertinent to the product area or capability they are working in.
  • Describes what to solve by writing problem statements and requirements* and facilitates the “how” with the engineering team.
  • Supports product manager in defining and driving the strategy as well as day to day execution in collaboration with engineering teams for one or more products.
  • Acts as the customer champion articulating and advocating the user’s needs

Required Experience and Skills:

  • Minimum 3-5 years working with customers to define requirements, preferably data analytics
  • Experience building ERD, logical data models, source-target mappings.\, writing SQL
  • Hands-on experience or working knowledge with data management services such as AWS Athena, Glue, S3, Redshift, or similar tools & services is highly desired.
  • Identify and define business problems, and translate them into actionable requirements and tasks
  • Demonstrate analytical problem-solving and communication skills
  • Effectively engage both technical and non-technical stakeholders and users
  • Be able to work independently, anticipating and resolving problems
  • Experience managing multiple complex experience design and development projects simultaneously

Preferred Experience and Skills:

  • Pharmaceutical drug discovery and pre-clinical development experience.
  • Domain knowledge or familiarity with Machine Learning Platforms (e.g. Sagemaker and DataBricks)
  • Experience working in Agile software development

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, Foodora, and Mall.cz discount programmes
  • Up-to-date laptop and iPhone
  • Parking in the garage, showers, refreshments, massage chairs, library, music corner
  • Competitive salary, incentive pay, and many more


Current Contingent Workers apply



Agile Methodology, Agile Scrum Development, Data Analytics, Data Cleansing, Data Mapping, Data Segmentation, Problem Solving, Product Management, Reference Data, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs


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