Data Analyst

at  Quotient Sciences

Quotient Sciences is a drug development and manufacturing accelerator providing integrated programs and tailored services across the entire development pathway. Cutting through silos across a range of drug development capabilities, we help biotech and pharma customers save precious time and money in getting drugs to patients.
We employ more than 1,100 talented individuals globally, located at state-of-the-art development, manufacturing and clinical facilities in the UK and USA.
Science, Agility and Culture are the core components that define Quotient Sciences, enabling us to do what we do in the way that we do it. People join Quotient Sciences because we are a respected member of the drug development community that’s focused on innovation and are driven by an unswerving belief that ideas need to become solutions, and molecules need to become cures, fast. Because humanity needs solutions, fast.
The Role
The Data and Analytics team is an integral part of the business. We build and deliver the data infrastructure that powers our analytics activity, allowing us to drive value from our data via the provision of analysis, reporting and insights internally to teams across the full span of the business.
We’re looking for an exceptional Data Analyst to help scale our Data & Analytics function. You’ll work on a wide range of projects, spanning across all functional areas of the business. The ideal candidate will leverage data to provide insights that drive decision-making and improve business performance. Working closely with various departments to understand their data needs, analyse data sets, and present your findings in a clear and actionable manner.
The Data Analyst will work with a small team of data professionals to deliver transformational analytical solutions, business intelligence reports and advanced models to drive key business decisions and strategies.
The role requires a strong technical understanding of data platforms, visualisation tools, statistical methods and machine learning techniques. You’ll need to be adaptable, flexible and resourceful in delivering a challenging roadmap whilst our data landscape is transforming. This is a crucial appointment and an amazing opportunity for an ambitious analyst looking to be part of a growing part of the business.
Key responsibilities

Data collection and analysis

• Perform initial data exploration and analysis, collaborating with Data Engineers and business SMEs.
• Ensure data integrity, quality and security principles in line with our Data Governance policy.
• Colloborate with Data Engineers to develop automated data pipelines and workflows for data collection, analysis and reporting

Data analysis

• Analyse data trends, patterns and anomalies using statistical techniques to derive meaningful insights.

Model development and evaluation.

• Utilise machine learning, NLP, Generative AI, and other advanced statistical methods to build predictive and descriptive models.
• Validate and refine models to ensure accuracy and reliability.

Reporting

• A proven track record of advanced dashboard development in Tableau.
• Ability to get hands on and develop data solutions and powerful data visualisations to communicate analysis and findings to stakeholders.
• Create robust, automated reporting processes that deliver timely, accurate, reliable management information.

Business engagement and collaboration

• Work with cross-functional teams to identify business needs and provide analytical support for decision-making.

Performance Monitoring

• Track key performance indicators (KPIs) and provide recommendations based on analysis to improve business outcomes.

Innovation

• Stay updated with the latest advancements in data analytics and data science.
• Conduct research to explore new methodologies and applications in the life sciences sector.
• Use your knowledge of advanced data systems, analysis and mining techniques to enable the creation and maintenance of complex data sources and reports
• Champion the use of data and analytics, increasing adoption and growth across the team. Drive a data led culture and provide advice, support and recommendations on how data can be used to improve business initiatives and drive commercial value.

Assurance and support

• Provide support for models deployed in a production environment
• Support the administration, deployment and configuration of models and associated infrastructure
• Act as a gatekeeper for our data, ensuring the use of it is compliant to GDPR standards (and local legislation) and that best practices are applied.

Essential technical skills

• Proficient in SQL and Python
• An ability to analyse complex datasets and extract actionable insights
• Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn)
• Skilled in building credible statistical models.
• Knowledge of various learning algorithms (supervised, unsupervised, reinforcement)
• Experience with MLOps practises.
• Demonstrable experience building visualisations and dashboards in Tableau.
• An understanding of data management principals in cloud-based technologies.
• Appreciation of full analytics technology stack, with extensive hands-on experience
• Comfortable with solution design and identifying solutions to data problems. Ability to work with Data Engineers to define, implement and manage appropriate architecture / schemas on the data warehouse.
• A data-driven approach. Competence in manipulating and analysing complex datasets (both structured and unstructured) from multiple sources.
• Understanding of data governance and data quality frameworks

Personal skills and key competencies

• Naturally inquisitive, with an eye for detail and the willingness to learn new tools and techniques.
• Focused on providing business value – the ability to quickly explore a problem, build an initial solution, and then iterate quickly until value is realised.
• A methodical, analytical and logical thinker with the ability to see the bigger picture and get to the underlying business questions and challenges that need answering.
• Outstanding numerical, technical and problem-solving skills.
• Ability to build and maintain strong relationships with both technical and non-technical colleagues, translating complex concepts into simple terms where required.
• A team player with a passion for working in a collaborative environment.
• Extremely organised, delivery focused, and deadline driven. The ability to prioritise workload and manage stakeholders effectively.
• Applied knowledge of Agile principles and frameworks like Kanban and Scrum. Roadmap delivery using tools like Jira.
• Good commercial awareness.
• The ability to thrive in a risk-taking, fast-paced environment. Enjoy a hands-on role.
• Ambitious and proactive.
• A confident and conscientious communicator.

Desirable skills

• Experience within and knowledge of the pharmaceutical industry and associated data
• Experience of Tableau Server administration and management best practise, including user management, security and access.
• Experience building underlying data pipelines and ETL, particularly useful if done using AWS or tools such as dbt.
• Experience working in an AWS Data Stack (AWS Glue, S3, Sagemaker, BedRock etc.)

Application Requirements
When applying for a position with Quotient Sciences to be able to work in our organization you must be aged 18 years or over and not have been debarred by the FDA. If you indicate you are under the age of 18 or have been debarred then your application will be automatically declined.
Our Commitment to Diversity, Equity and Inclusion
Quotient Sciences are advocates for positive change and conscious inclusion. We strive to create a diverse Quotient workforce and develop a workplace culture that provides a sense of acceptance for every person within our organization. As a global employer, we recognize the value in having an organization that is a true reflection and representation of our society today.
Specifically we will not discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws.
This applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination

Please refer the Job description for details