Strategic Insights & Business Optimization Data Analyst

At Roche/Genentech, we have a bold Pharma Strategy to deliver 20 transformative medicines addressing diseases with the highest societal burden. With this top of mind, Portfolio Strategy & Delivery’s (PSD) purpose is to translate Roche strategies into PD priorities and deliver PD’s portfolio with excellence. 

As a Strategic Insights & Business Optimization (SIBO) Data Analyst you will be responsible for supporting the team in preparing and delivering business analytics and insights, including data management activities related to the insight delivery. Accountabilities for you as an individual contributor include, but are not limited to, a combination of the following areas: 

Strategic Insights Generation
 

• Collaborate with the SIBO team to collect analytics requirements, translate into specifications and delivery outputs in a timely manner using an iterative approach

• Periodic stable analytic reports: develop, maintain and update a pipeline process that allows for a streamlined, easy to update manner. This includes the use of Business Intelligence tools to generate standard reports that can be customized (and eventually self service)

• Key strategic question insights: handle a pipeline of requests for frequent analytics related to business performance/management, including agile project management, risk register and a dev/val/prod approach.
   

Advanced Data Analytics/Data Science
 

• Design and deliver advanced analytics solutions, including predictive modelling (e.g. forecasting and regressions), machine learning, and uncertainty analyses, Apply descriptive and inferential statistical methods to uncover trends, patterns, and actionable insights from large, complex datasets.

• Comfortable with LLM, GenAI and developing multi-modal Agentic AI agents which would be used in the workplace to augment the analysis and reporting capabilities.

• Own the end-to-end delivery of analytical solutions, from ideation to implementation, ensuring that they align with strategic priorities and stakeholder needs.

• Manage and update tools and resources with the latest industry information to ensure accuracy and relevance.
   

Collaboration and Consultation
 

• Provide advice to the team on analytics architecture, infrastructure and improved pipeline processes as well as delivery.

• Collaborate with SIBO team to continuously improve on visualization of analytics, design of reports/dashboards and storytelling components. Data Curation and Stewardship

• Acquire, aggregate, and curate high-quality primary and secondary data sources to enable accurate and meaningful analyses.

• Act as the technical point of contact between SIBO and Informatics teams or Product Owners of data/insights sources.

• Collaborate with other team members to pull in insights from primary and secondary data, to continuously improve forecast methods and accuracy.

Who You Are:

(Required)

• You have a Bachelor’s Degree in Computer Science, Business, Economics, Statistics, Mathematics, Physical Sciences or related field with 7+ years of experience; or a Masters in Computer Science, Business, Economics, Statistics, Mathematics, Physical Sciences or related field with 5+ years of experience; or a PhD in Computer Science, Business, Economics, Statistics, Mathematics, Physical Sciences or related field with 3+ years of experience
   

• You have experience in the pharmaceutical or biotech industry (commercial or clinical) and/or management consulting.
   

• You have demonstrated experience in exploratory and confirmatory data analysis techniques that drive strategic business decisions; you have the ability to translate data into actionable insights and craft compelling narratives
   

• You have a strong level of expertise in at least two of the following areas: 

  • Data Analytics, Advanced Data Analytics, Resource Forecasting and Management, Statistics, Information Visualization, Data Science, Patient and/or Investigator Insights, and/or Competitive Intelligence
     

• You are proficient in scripting, statistical programming and visualization languages, such as:

  • Python, R, SQL, Julia, Plotly, or other similar tools.
     

• You are proficient in data analytics toolkits and platforms, such as:

  • Matlab, SAS, BI tools (Tableau, PowerBI, etc), spreadsheet software (Google Sheets, Excel), version control and collaborative tools (Git).

Preferred:
 

• You are a curious, proactive, and adaptable data analyst with a strong sense of responsibility and entrepreneurial spirit. 

• You thrive in a dynamic, cross-functional, and global matrixed environment, leveraging your consultative mindset and collaborative nature to build strong partnerships across teams. 

• You are committed to elevating the importance of analytics and fostering data literacy within the organization

• You have the ability to mentor/coach others; you have demonstrated ability working in a matrix/team environment

This position is based onsite in South San Francisco, USA.
Relocation benefits are not being offered for this position.

The expected salary range for this position based on the primary location of San Francisco, CA is $150,000 - $280,000.  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.
Benefits

Genentech 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.