Data & Analytics Specialist

Data & Analytics Specialist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Position Overview

We are seeking a detail-oriented, highly curious, and analytical Associate Analyst to join our growing analytics team. In this role, you will leverage technical capabilities such as SQL and Python to extract, manipulate, and analyze datasets to solve real-world problems.

This role is ideal for an early-career professional (0–2 years of experience) who combines strong logical thinking and data interpretation skills with an eagerness to dive into the Pharmaceutical & Life Sciences domain. You will work closely with stakeholders to translate complex data into compelling visual stories, while actively leveraging Generative AI tools to optimize workflows and drive data innovation.

Key Responsibilities

Data Analysis & Problem Solving

• Extract, clean, and analyze structured and unstructured data using SQL and Python.
• Apply logical thinking and structured analytical frameworks to break down complex business questions into actionable insights.
• Perform data validation and quality checks to ensure accuracy and integrity across reporting outputs.

AI Integration & Innovation

• Understand and apply Generative AI tools and techniques (e.g., prompt engineering, LLM-driven analysis, automated documentation) to streamline analytical workflows and enhance productivity.

Data Visualization & Storyboarding

• Translate raw analytical outputs into intuitive dashboard wireframes, visual reports, and data-driven narratives.
• Design clear, impactful presentations/storyboards that communicate key insights and strategic recommendations to non-technical business partners.

Domain Learning & Collaboration

• Rapidly build subject-matter expertise in the Pharmaceutical domain (e.g., healthcare datasets, commercial analytics, clinical metrics).
• Collaborate with cross-functional teams, domain specialists, and senior leadership to support key project deliverables.
• Communicate findings effectively through clear oral presentations and concise written documentation.

Qualifications & Skills

• Experience: 0–2 years of professional experience in data analytics, business intelligence, or a related quantitative role.
• Technical Proficiency:Strong foundational skills in SQL & Python.Working knowledge or practical understanding of GenAI capabilities.
• Analytical Mindset: Excellent quantitative data interpretation skills with a structured, logical approach to problem-solving.
• Data Storytelling: Proven ability or aptitude for data visualization and storyboarding
• Domain Eagerness: Strong enthusiasm and willingness to learn the intricacies of the global pharmaceutical and healthcare market.
• Communication: Exceptional verbal and written communication skills with the confidence to explain technical concepts to non-technical audiences.
• Education: Bachelor’s/Master's degree in Pharma, Computer Science, Data Analytics, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline.

 

 

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

Experience Level

Mid Level