Senior Medical Analyst - Link Medical Insights

buscojobs España; Barcelona; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A fast-growing tech company is seeking a Senior Data Analyst to ensure data quality and provide insights for stakeholders in the healthcare sector. The ideal candidate will have a strong background in life sciences and data analytics, with advanced SQL skills. You'll work remotely in a multicultural team, contributing to high-quality data applications that improve research and patient outcomes.

Formación

• 3+ years in Healthcare/Pharma industry, MSL experience.
• Advanced SQL and spreadsheet skills.
• Experience with large databases and complex datasets.

Responsabilidades

• Own data flow from product operations to the Link App.
• Analyze large datasets and generate insights.
• Create customized reports and dashboards for stakeholders.

Conocimientos

Data Analysis

Communication

Attention to Detail

Educación

University degree in medicine or life sciences

Herramientas

SQL

Excel

Google Sheets

Python

R

Tableau

Power BI

Apache Airflow

Descripción del empleo

Veeva Link envisions building connected data applications to improve research and patient outcomes. Link Medical Insight is a product that captures, reveals, and disseminates medical insights across the enterprise, enabling medical teams to refine strategy based on scientific insights. As one of our Senior Data Analysts, 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 the various stakeholders. You will work closely with product management, data operations, data governance, software engineering, and quality assurance teams. With your expertise, we will ensure that our curated medical notes live up to the highest quality standards of our clients, which are the biggest pharma and life sciences companies worldwide.

To thrive in your role, you need to have an academic background in medicine or life sciences, with substantial experience with data analytics, large databases, and complex data sets. You are a fast learner, detail-oriented, have a growth mindset, and can turn data into valuable insights. You communicate effectively with stakeholders and can deliver high-quality results within a tough timeline. You are comfortable working remotely in an international environment. We care about a great cultural fit. You should enjoy working at speed in multi-cultural teams. We are the optimal fit if you are excited about data, Life Sciences, and working for a fast-growing tech company.

What You'll Do

• 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
• Create customized reports and dashboards for internal stakeholders

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
• 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
• Written and verbal communication skills in English

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
• Ability to create and maintain automated reporting systems

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