Veeva23d ago

Senior Data Analyst

BerlinRemoteFull-Timesenior

Data ScienceOperationsData Analyst

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.

Technical Tools

Data ScienceOperationsData Analyst

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.

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.

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

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