Senior Associate - Digital Product Analyst, GCS Data Analytics
Θεσσαλονίκη, Κεντρική Μακεδονία-Θεσσαλονίκη, GR
πριν από 6 μέρες
source : Kariera


  • Collaborate closely with Client Partners and product managers to understand product goals, and create tracking, reporting and segmentation requirements that will ensure timely and accurate measurements
  • Analyze ongoing initiatives and releases and assist Client Partners and product managers in performance assessment, efficiency and improved user / product experiences
  • Evaluate historical data and build appropriate models to understand user behavior, business trends, and performance
  • Communicate findings, recommendations and concerns to appropriate stakeholders
  • Document analytical needs and ensure transparent repeatable processes
  • Create compelling, intuitive dashboards to arm the clinical supply team with data and metrics critical to their decision making
  • Organize, prepare and present easy to understand stories with valid proof points that tie back to business objectives
  • Describe and quantify outcomes that will assist the team in reaching product goals and outcomes through iterative development
  • Assist with business analyst functions such as requirements gathering and documentation.

  • Minimum of Bachelor's degree in computer science, data science, life sciences or a business-related discipline such as logistics;
  • advanced degree preferred

  • 3+ years of experience as a Data Analyst identifying trends, insights and presenting recommendations based on collected data
  • Experience in developing and implementing software and data systems for the life sciences
  • Strong business analysis, product design and product management skills required
  • Familiar with product analytics and strong ability to carry out analysis related to customer journey, user activity, product / feature performance and other digital analytics
  • Experience with data science solutions and platforms
  • Comfortable collaborating with cross-functional stakeholders to understand underlying business problem, perform full cycle analysis and propose recommendations and solutions
  • Ability to conduct independent problem solving and data exploration analysis
  • A curious and highly motivated self-starter who can work effectively across cross-functional teams and can independently drive projects toward completion with proper planning and management
  • Excellent interpersonal, written and verbal communication skills required
  • Deep empathy for the end user and a passion for the user experience required

  • Advanced degree in computer science, data science, logistics or another business-related discipline
  • Experience working with clinical and / or logistics and supply systems and data
  • Experience in agile software development and knowledge of modern programming languages and development environments
  • Experience in applied data science, machine learning and AI
  • Knowledge of relational and non-relational database technologies for both transactional and decision support applications (normalized transactional databases, data lakes and data warehouses)
  • Experience mining and visualizing complex scientific, clinical and / or healthcare data at scale
  • Experience with computer systems validation and delivering solutions to GxP requirements preferred
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