Data Insights Specialist

Há 5 dias


Lisboa, Lisboa, Portugal TN Portugal Tempo inteiro
Company Overview

Veeva is a fast-growing tech company that builds connected data applications to improve research and patient outcomes. Our innovative solutions capture, reveal, and disseminate medical insights across the enterprise, enabling medical teams to refine strategy based on scientific insights.

About the Role

We are seeking an experienced Senior Medical Analyst to join our team in Lisbon. As a Senior Medical Analyst, you will be the subject matter expert for questions regarding Link Medical Insights data structure and quality. You will ensure the data we use meets the product goal and provide data analysis for various stakeholders.

Key Responsibilities
  • Own the data flowing from product operations to the Link App
  • Assure that data quality and compliance meet our high standards
  • Extract data from databases (e.g., Redshift, Mongo DB, PostgreSQL)
  • Analyze large data sets and generate insights
  • Identify data gaps and quality issues
  • Perform root cause analysis with data-backed solutions and support the implementation
  • Solve complicated problems by building leading-edge analytics systems

Requirements

  • University degree in medicine or life sciences, e.g., bioinformatics, clinical informatics, pharmacist
  • 3+ years of working experience in the Healthcare/Pharma industry, with MSL working experience
  • Advanced SQL skills (joins, subqueries, subquery factoring)
  • Advanced spreadsheet skills (in Excel or Google Sheets)
  • Skilled in data reporting and visualization
  • Proven track record managing data analytics projects
  • Experience with large databases and complex datasets
  • Experience creating recurring KPI reports and dashboards for a business unit environment
  • Experience in complex organizational structures, reporting to senior management
  • Comfortable working remotely in an international environment
Nice to Have
  • Knowledge of database technologies (Redshift, NoSQL/MongoDB, PostgreSQL)
  • Proficient in Python or R for data manipulation and analysis
  • Knowledge of data visualization tools (e.g., Tableau, Power BI, Superset)
  • Experience with workflow orchestration tools (e.g., Apache Airflow)
  • Experience with data governance and data quality frameworks
  • Strong understanding of statistical analysis and modeling


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