Senior Data Analyst
4 semanas atrás
Veeva Systems, Inc. is a pioneering organization in the industry cloud, dedicated to helping life sciences companies accelerate the delivery of therapies to patients. With a strong commitment to its values - Do the Right Thing, Customer Success, Employee Success, and Speed - Veeva has achieved remarkable growth, surpassing $2B in revenue in its last fiscal year. As a public benefit corporation, Veeva is legally bound to balance the interests of customers, employees, society, and investors.
The RoleVeeva Link is a suite of data applications that provides in-depth data across various areas, including key people and key accounts. As a Senior Data Analyst, you will be the subject matter expert for questions regarding Link data structure and quality. Your key responsibilities will include ensuring the data used meets the product goal and providing data analysis for various stakeholders. You will work closely with product management, data operations, data governance, software engineering, and quality assurance teams.
Key Responsibilities- Assure that data quality and compliance meet our high standards.
- Extract data from databases (e.g., Redshift, Mongo DB).
- Analyze large data sets and generate insights.
- Identify data gaps and quality issues and provide root cause analysis.
- Build and maintain a technical data model (entity relationship diagram).
- Create customized reports and dashboards for internal stakeholders.
- University degree in an analytical or technical field, e.g., bioinformatics, applied mathematics.
- 3+ years of working experience in data analysis or data quality, with life science data experience.
- Experience in complex organizational structures, reporting to senior management.
- Proven track record managing data analytics projects.
- Advanced SQL skills (joins, subqueries, subquery factoring).
- Proficient in Python for data manipulation and analysis.
- Experience with large databases and complex datasets.
- Skilled in data visualization tools (e.g., Superset, Tableau, Power BI).
- Strong written and verbal communication skills in English.
- Opportunity to work in a diverse and international workspace.
- Personal development budget.
- Fitness reimbursement.
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