20 beste Stellen als sql support in home office – aktuell auf Personalsuche

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Senior Data Analyst

Veeva Systems -
Home Office

Jetzt bewerben

Details zur Stelle

Vollzeit
50.000 € – 85.000 € pro Jahr

Leistungen

Homeoffice-Möglichkeit
Mitgliedschaft im Fitnessstudio
Lebensversicherung

Qualifikationen

Azure
Datenanalyse
Google Cloud Platform
MongoDB
SQL
AWS
Agile
Apache
Datensammlung
Datenvisualisierung
Redshift
Python

Vollständige Stellenbeschreibung

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 $3B 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’s vision is to become the global leader for deep data in life sciences. We are looking for a detail-oriented and experienced Data Analyst to join our product team.In this role, you will play a key part in developing and implementing a data governance framework, ensuring data accuracy, completeness, and integrity. Your main responsibilities include establishing data quality monitoring processes, identifying root causes of inconsistencies, and collaborating with cross-functional teams to resolve data gaps.

To thrive in this role, you need expertise in SQL and Python for data manipulation and automation. You should be comfortable working with large datasets, designing dashboards with actionable recommendations, and applying statistical techniques to assess and enhance data quality.

The ideal candidate has experience in creating documentation (process documentation, data collection guidelines) and in contributing to data governance policies and best practices.

What You'll Do

Implement a data governance framework
Establish and maintain robust processes for tracking and assessing data quality
Develop automated checks to proactively detect data inconsistencies
Apply statistical techniques to enhance data quality
Create customized reports and dashboards
Extract data from databases (e.g., Redshift, MongoDB)
Identify and resolve root causes of quality issues
Collaborate in cross-functional teams of product managers, engineering, and operations
Create and maintain documentation

Requirements

5+ years of work experience in data analysis or data quality role
Strong technical skills in data analysis, with proficiency in SQL and Python
Experience in data storage and processing on cloud platforms such as AWS, GCP, or Azure
Strong problem-solving skills and experience working with cross-functional teams
Experience writing process documentation and data collection guidelines

Nice to Have

University degree in medicine or life sciences
Understanding of healthcare, life sciences, or pharmaceutical industry data
Experience with data visualization tools to create dashboards and reports
Understanding of data engineering concepts (ETL, data pipelines)
Experience with workflow automation tools such as Apache Airflow
Experience working in an Agile or product-driven environment
Familiarity with data privacy and compliance regulations (e.g. GDPR, HIPAA)

Perks & Benefits

1% charitable giving program
Life insurance
Pension contribution
Fitness reimbursement

Compensation

Total compensation: 50,000 - 85,000 EUR
The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position's total compensation may be composed of other types of compensation, such as variable bonus and/or stock bonus.

#RemoteGermany

#LI-MidSenior

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 [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als sql support in home office erhalten

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