Senior Data Analyst

Das ist der Job

In this role you act as a Data Product Owner for selected analytics solutions and data products.

Darum lohnt es sich

You combine strong analytical expertise with a solid understanding of manufacturing processes, IT/OT systems and data engineering fundamentals, providing technical guidance to colleagues and coordinating cross‑functional teams to solve complex, high‑impact problems.

Data Engineering & Platform Alignment – Contribute hands‑on to data preparation, data modelling, data quality checks and analytical implementation where required, and collaborate closely with data engineers and platform teams to ensure robust, scalable and maintainable solutions.

Cross‑Functional Collaboration – 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.

Decision Support – Support leadership and operational teams by preparing, analyzing and communicating technical reports, performance insights and decision‑relevant analytics in a clear, actionable way. Travel – Up to 20 % international travel.

Proven ability to guide colleagues, coordinate work packages, influence without formal authority and lead cross‑functional teams through complex analytical problem solving. Relocation benefits are not provided with this posting. This position also qualifies for the benefits detailed in the linked benefits information.

Benefits Benefits details are available through the company benefits portal.

SENIOR DATA ANALYST – OPERATIONS NEAR PATIENT CARE (DOB) As a Senior Data Analyst in our Near Patient Care manufacturing environment, you will develop and deliver data analytics solutions that help us understand, monitor and improve product and process performance across our portfolios, including continuous glucose monitoring (CGM).

You translate business and process needs into clear analytical requirements, guide end‑to‑end delivery from problem framing to implementation and continuous improvement, and ensure solutions are aligned with global data, platform and governance standards.

Main tasks of the position End‑to‑End Data Product Ownership – Own and drive selected data products and analytics solutions for CGM 2.0 (DOT) throughout their lifecycle: business need, requirements, prioritization, development, testing, release, usage, continuous improvement and phase‑out.

Business Translation & Process Analysis – 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.

Advanced Analysis & Monitoring – Independently perform complex analyses and establish effective process data monitoring to identify performance variation, prevent incidents and support the avoidance of quality deviations.

Predictive System Modeling – Apply analytical thinking, data science methods and professional judgment to evaluate, select and implement approaches for predicting system and process performance.

Data Governance & Compliance – 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.

Technical Leadership – 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.

Stakeholder & Performance Management – 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.

Who You Are Bachelor’s degree in engineering, computer science, data science, business administration, or a related field. 5 + years of experience in manufacturing, production processes, data analytics, data science, business intelligence, or a closely related field.

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 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 is highly desirable. Good understanding of data engineering fundamentals, including databases, data models, ETL/ELT concepts, data pipelines, data quality, lineage and scalable data product design.

Deep 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 is beneficial. 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. Additional Information Location: Indianapolis, IN or Mannheim, Germany. Compensation 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.

If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process. Roche is an equal‑opportunity employer.

It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence.

The company's policy prohibits unlawful discrimination, including but not limited to discrimination on the basis of protected veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants. #J-18808-Ljbffr