Senior Data Analyst

About the role

Roche is a company committed to transforming patient lives and ensuring everyone has access to healthcare. This role is part of the Near Patient Care manufacturing environment within Global Diagnostic Operations.

Responsibilities

• Develop and deliver data analytics solutions to understand, monitor, and improve product and process performance across Roche’s portfolios, including CGM.
• Act as a Data Product Owner for selected analytics solutions and data products, translating business and process needs into clear analytical requirements.
• Guide end-to-end delivery from problem framing to implementation and continuous improvement, ensuring solutions align with global data, platform, and governance standards.
• Combine strong analytical expertise with a solid understanding of manufacturing processes, IT/OT systems, and data engineering fundamentals.
• Work hands-on where needed, providing technical guidance to colleagues and coordinating cross-functional teams to solve complex, high-impact problems.
• Own and drive selected data products and analytics solutions across their lifecycle, from business need, requirements and prioritization to development, testing, release, usage, continuous improvement and phase-out.
• Work closely with manufacturing, quality, planning, and digital stakeholders to understand process challenges, translate them into data and analytics requirements, and assess data needs based on operational value, feasibility, quality impact, and scalability.
• Independently perform complex analyses and establish effective process data monitoring to identify performance variation, prevent incidents, and support the avoidance of quality deviations.
• Apply analytical thinking, data science methods, and professional judgment to evaluate, select, and implement approaches for predicting system and process performance.
• Contribute hands-on to data preparation, data modeling, data quality checks, and analytical implementation where required, collaborating closely with data engineers and platform teams to ensure robust, scalable, and maintainable solutions.
• Contribute to data product governance and ensure analytics solutions are developed in line with relevant data integrity, compliance, documentation, and global platform requirements, including alignment with GO Digital 2.0 / Roche Diagnostics Data Mesh principles where applicable.
• Coordinate task distribution within cross-functional analytics work packages, provide expert guidance to colleagues, and act as a best-practices resource for data analytics, data product delivery, and analytical problem solving.
• Proactively identify sources of product and process performance variation through data analysis, experiments, and close collaboration with subject matter experts, ensuring insights are translated into future data product and process improvements.
• Foster effective cooperation with manufacturing, quality, planning, IT/OT, global digital teams, and other relevant interfaces to resolve delivery failures, customer-visible product performance problems, and operational improvement opportunities.
• Support leadership and operational teams by preparing, analyzing, and communicating technical reports, performance insights, and decision-relevant analytics in a clear, actionable way.

Requirements

Bachelor degree in engineering, computer science, data science, business administration, or a related field is required. 5+ years of experience in manufacturing, production processes, data analytics, data science, business intelligence, or a closely related field is preferred.

Preferred Qualifications

• Strong understanding of manufacturing and quality processes, with the ability to analyze process flows, identify performance drivers, and translate operational challenges into prioritized data and analytics requirements.
• Experience in owning or leading analytics solutions, data products, or cross-functional data initiatives from requirements definition through implementation and continuous improvement.
• Strong analytical and technical skills, including hands-on experience with data analysis, data preparation, and data visualization.
• Experience with SQL, Python, R, or comparable tools.
• Deep understanding of data engineering fundamentals, including databases, data models, ETL/ELT concepts, data pipelines, data quality, lineage, and scalable data product design.
• Good understanding of IT/OT systems, digital solutions, analytics models, and business system landscapes within manufacturing, quality control, planning, and related reporting frameworks.
• Excellent knowledge of data analytics, data product / data mesh principles, and relevant systems such as Snowflake, Tableau, and other BI tools.
• Understanding of data governance, data integrity, GxP / CSV-relevant documentation principles, and compliance expectations in a regulated manufacturing environment.
• Proven ability to guide colleagues, coordinate work packages, influence without formal authority, and lead cross-functional teams through complex analytical problem solving.
• Strong decision-making ability, structured thinking, and the ability to manage priorities, resources, and stakeholder expectations in a complex matrix environment.
• Fluency in English is required. German language skills are beneficial to enable effective collaboration with local teams and international stakeholders.

Benefits

The expected salary range for this position based on the primary location of Indianapolis is $116,900 - $217,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.

This position also qualifies for the benefits detailed at the link provided below.