Logo of Huzzle

Senior Data Analyst - OpenData Clinical

  • Job
    Full-time
    Mid Level
  • Data
    Research & Development
  • Barcelona
    Remote

AI generated summary

  • You need a degree in an analytical field, 3+ years in data analysis in life sciences, advanced SQL, Python skills, and expertise in data visualization tools, plus strong communication skills.
  • You will ensure data quality, monitor delivery, extract and analyze data from databases, identify gaps, and create reports for stakeholders.

Requirements

  • 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., Superset, Tableau, Power BI)
  • Strong written and verbal communication skills in English

Responsibilities

  • Assure that data quality and compliance meet our high standards
  • Monitor data delivery to product
  • 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
  • Perform ad-hoc analysis and create customized reports for various stakeholders

FAQs

Do we support remote work?

Yes, we support remote work and offer flexibility to work from home or in the office.

What qualifications are required for the Senior Data Analyst position?

A university degree in an analytical or technical field, such as bioinformatics or applied mathematics, along with 3+ years of experience in data analysis or data quality with a focus on life science data, is required.

What skills are essential for this role?

Essential skills include advanced SQL knowledge, proficiency in Python for data manipulation and analysis, experience with large databases, and proficiency in data visualization tools like Superset, Tableau, or Power BI.

What kind of experience is preferred for applicants?

Preferred experience includes working with workflow orchestration tools (e.g., Apache Airflow), familiarity with data governance and data quality frameworks, and proficiency in Atlassian Jira.

Are there opportunities for personal development?

Yes, we offer a personal development budget for employees.

What benefits does the company provide?

Benefits include the opportunity to work in a diverse international workspace, personal development budget, and fitness reimbursement.

What is the company's stance on diversity and inclusion?

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce, valuing individuals for their unique contributions.

Is there any special assistance available during the application process?

Yes, applicants who need assistance or accommodation due to a disability or special need can contact us at talent_accommodations@veeva.com.

What are the key responsibilities of the Senior Data Analyst?

Key responsibilities include ensuring data quality and compliance, monitoring data delivery, analyzing large data sets, identifying data gaps and quality issues, and creating customized reports for stakeholders.

What cultural fit does Veeva look for in employees?

Veeva seeks candidates who enjoy working swiftly in multicultural teams and are passionate about data and the life sciences field, especially within a fast-growing tech company.

The Industry Cloud for Life Sciences.

Technology
Industry
1001-5000
Employees
2007
Founded Year

Mission & Purpose

Veeva Systems Inc. is a leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, Veeva has more than 875 customers, ranging from the world's largest pharmaceutical companies to emerging biotechs. Veeva is headquartered in the San Francisco Bay Area, with offices in Canada, Europe, Asia, and Latin America.