Data Insights Expert for Life Sciences
Há 3 dias
Veeva Systems, Inc. is a pioneering force in industry cloud solutions, empowering life sciences companies to bring innovative therapies to patients more efficiently.
As one of the fastest-growing SaaS companies in history, we're committed to making a positive impact on our customers, employees, and communities.
At Veeva, we value speed, customer success, employee success, and doing the right thing – values that have earned us a reputation as a mission-driven organization.
We offer a unique work environment that supports your flexibility to thrive in your ideal setting, whether that's working from home or in the office.
The Role
Veeva Link is a suite of data applications providing deep insights across various areas, including key people and key accounts.
As a Senior Data Analyst, you'll be the subject matter expert for questions regarding Link data structure and quality, ensuring the data meets product goals and delivering valuable insights to stakeholders.
You'll collaborate closely with product management, data operations, data governance, software engineering, and quality assurance teams to drive data-driven decisions.
To succeed in this role, you'll need an academic background in a technical field and experience working with life science data, coupled with substantial experience in data analytics, large databases, and complex data sets.
You should be a fast learner, detail-oriented, and possess a growth mindset, with excellent communication skills and the ability to deliver high-quality results under tight deadlines.
Key Responsibilities:
- Ensure data quality and compliance meet our high standards
- Extract data from databases (e.g., Redshift, Mongo DB)
- Analyze large data sets and generate actionable 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
Requirements:
- University degree in an analytical or technical field (e.g., bioinformatics, applied mathematics)
- 3+ years of 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
Nice to Have:
- 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
- Fitness reimbursement
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