Senior Data Insights Analyst

Há 4 dias


Lisboa, Lisboa, Portugal Veeva Systems, Inc. Tempo inteiro

**Mission-Driven Organization**

Veeva Systems, Inc. is a leading provider of industry cloud solutions, empowering life sciences companies to accelerate the delivery of therapies to patients.

Our values guide our mission: Do the Right Thing, Customer Success, Employee Success, and Speed.

We're not just any public company – we made history by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

We offer a flexible work environment as a Work Anywhere company, supporting your ability to work from home or in the office, so you can thrive in your ideal environment.

**The Job**

OpenData Clinical is a global reference data platform for sites and investigators.

As a Senior Data Analyst, you will be the subject matter expert for questions regarding OpenData Clinical data structure and quality.

You will guarantee that the data we use meets the product goal and provide data analysis for various stakeholders.

You will collaborate closely with product management, data operations, data governance, software engineering, and quality assurance teams.

To excel in this role, you need to have a strong academic background in a technical field and a life science background or experience working with life science data.

You should have substantial experience with data analytics, large databases, and complex data sets.

You are a quick learner, detail-oriented, have a growth mindset, and can convert data into valuable insights.

You communicate effectively with stakeholders and can deliver high-quality results within a challenging timeline.

We prioritize a great cultural fit.

You should enjoy working at speed in diverse teams.

We are the perfect match if you are enthusiastic about data, Life Sciences, and working for a rapidly growing tech company.

**Key Accountabilities**

Ensure that data quality and compliance meet our stringent standards.

Monitor data delivery to product.

Extract data from databases (e.g., Redshift, Mongo DB).

Analyze large data sets and generate meaningful insights.

Identify data gaps and quality issues and provide thorough root cause analysis.

Perform ad-hoc analysis and create tailored reports for various stakeholders.

**Essential Qualifications**

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.

Proficient in Python for data manipulation and analysis.

Experience with large databases and complex datasets.

Skilled in data visualization tools (e.g., Tableau).


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