Data Analyst

Quotient Sciences

Quotient Sciences is a global drug development accelerator offering comprehensive services across the pharmaceutical landscape. The company's mission is to expedite the journey of drugs from ideas to solutions, focusing on cutting-edge science and a culture of agility. The Data Analyst will play a vital role in leveraging data insights to support strategic business decisions and performance improvements.

In this role you can expect to have the responsibilities:

• Conduct data exploration and analysis, ensuring data principles align with governance policies.
• Collaborate with Data Engineers to establish automated data workflows.
• Utilize machine learning to develop predictive models and validate their accuracy.
• Create advanced dashboards in Tableau and automated reporting processes.
• Engage with business teams to provide analytical support for decision-making.
• Monitor performance indicators and offer recommendations for business improvements.
• Research and implement new data analytics methodologies within the life sciences industry.
• Ensure compliance with GDPR standards while managing data effectively.

This role comes with the following benefits:

• Diversity, equity, and inclusion-focused work culture
• Opportunities for innovation in data science and analytics

This role requires you to have:

• Proficiency in SQL and Python
• Experience with machine learning frameworks such as TensorFlow and Scikit-learn
• Expertise in Tableau for visualisations and dashboard creation
• Strong understanding of data governance and data management principles
• Familiarity with cloud-based data technologies

You would benefit from having:

• Exposure to the pharmaceutical industry and related data
• Experience with AWS Data Stack and ETL pipelines
• Knowledge of Tableau Server management

Quotient Sciences is committed to fostering a diverse and inclusive work environment. They ensure non-discrimination in employment practices and encourage a culture of conscious inclusion. This role requires candidates to be over 18 years of age and compliant with FDA regulations.