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Senior Data Analyst - Link

extra holidays - extra parental leave - fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Portugal

Offer summary

Qualifications:

University degree in analytical or technical field, 5+ years of data analysis experience, Experience with life science data, Advanced SQL and Python skills, Proficiency in data visualization tools.

Key responsabilities:

Ensure data quality and compliance
Extract and analyze large datasets
Identify data gaps and issues
Build technical data models
Create custom reports and dashboards

Veeva Systems Computer Software / SaaS SME https://www.veeva.com/

5001 - 10000 Employees

See more Veeva Systems offers

Job description

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Veeva Link is a suite of data applications that provide deep data across a number of areas, including key people and key accounts.

As one of our Senior Data Analysts, you will be the subject matter expert for questions regarding Link 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 closely work with product management, data operations, data governance, software engineering, and quality assurance teams.

To thrive in your role, you need to have an academic background in the technical field and a life science background or experience working with life science data, 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

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

Requirements

University degree in an analytical or technical field, e.g., bioinformatics, applied mathematics

5+ 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

Knowledge of database technologies (Redshift, NoSQL/MongoDB)

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

Familiarity with Amazon AWS for data storage, processing, and automatization

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

Life insurance

Fitness reimbursement

#RemotePortugal

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.

If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.