The Role
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
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
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
Perks & Benefits
Opportunity to work in a diverse and international workspace
Personal development budget
A significant contribution to the pension fund
Life insurance
Fitness reimbursement
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