Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
The Opportunity
As an Analytics Manager within our Data, Digital, and Analytics (DDA) team, you will serve as a strategic thought partner and technical builder empowering Commercial, Medical, and Government Affairs (CMG) leaders to make high-impact, data-driven decisions. In this role, you will bridge advanced data science with organizational strategy, designing predictive models to forecast future enterprise skill capabilities and developing scalable data pipelines connecting learning and business datasets to measurable performance outcomes.
Design, train, and validate predictive machine learning models and applied statistical algorithms to forecast organizational skill demands and evaluate business performance impact.
Architect, enhance, and maintain automated ETL data pipelines integrating varied, complex structured and unstructured data sources across cloud environments.
Partner cross-functionally with CMG stakeholders to define strategic measurement frameworks, translate complex business questions into analytical roadmaps, and influence decision-making.
Build intuitive data visualization tools, executive dashboards, and user-centric UI/UX interfaces in Tableau and Dataiku to drive self-service analytics.
Establish and monitor reliable API integrations (including Workday connections to data lakes) and cloud-based object storage for robust data ingestion and warehousing.
Champion FAIR (Findable, Accessible, Interoperable, Reusable) data principles and ensure strict adherence to enterprise compliance, security, and governance standards.
Who you are
Hold a Bachelor’s degree in Data Science, Computer Science, Applied Mathematics, Statistics, Economics, Engineering, or a related quantitative field.
Bring 3+ years of progressive experience in data analytics, data management, and/or data engineering, preferably within biotech, pharmaceuticals, or healthcare environments.
Demonstrate hands-on proficiency with programming languages (Python, R, SQL) and applied experience building, deploying, and evaluating machine learning models.
Possess proven experience developing scalable ETL pipelines, working with relational databases, and utilizing cloud infrastructure (AWS or GCP).
Display outstanding communication and stakeholder-consulting skills, with a demonstrated ability to translate technical concepts into meaningful business impact.
Preferred
Master’s or advanced degree in a quantitative discipline.
Direct experience handling learning record stores, workforce metrics, and Workday API integrations.
Working familiarity with enterprise data science and visualization platforms such as Dataiku, Spotfire, PowerBI, or R Shiny.
Demonstrated track record of leading technical initiatives and influencing cross-functional stakeholders without direct authority.
Practical knowledge of UI/UX design principles applied to analytical dashboard creation.
Location
This role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campus
No relocation benefits are available for this posting
The expected salary range for this position based on the primary location of CA is $XXX -$XXX. 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.
Skills Required
- Bachelor's degree in Data Science, Computer Science, Applied Mathematics, Statistics, Economics, Engineering, or a related quantitative field
- 3+ years of progressive experience in data analytics, data management, and/or data engineering
- Proficiency with Python, R, and SQL
- Experience building, deploying, and evaluating machine learning models
- Experience developing scalable ETL pipelines
- Experience working with relational databases
- Experience utilizing cloud infrastructure such as AWS or GCP
- Strong communication and stakeholder-consulting skills
- Ability to translate technical concepts into meaningful business impact
- Master's or advanced degree in a quantitative discipline
- Experience with learning record stores, workforce metrics, and Workday API integrations
- Familiarity with Dataiku, Spotfire, Power BI, or R Shiny
- Experience leading technical initiatives and influencing cross-functional stakeholders without direct authority
- Knowledge of UI/UX design principles for analytical dashboards
Genentech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genentech and has not been reviewed or approved by Genentech.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, mental health, and prescriptions, supported by HSAs/FSAs and broad wellness resources. On‑site fitness and health centers, mental‑health clinicians, and specialized programs like fully covered preventive cancer screenings and menopause support deepen the offering.
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Retirement Support — Retirement benefits feature a 401(k) with up to a 4% company match plus an additional annual 6% company contribution to eligible pay. Additional financial protections such as life and accident insurance complement salary, bonuses, and stock options.
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Leave & Time Off Breadth — Time away includes about 20 paid vacation days, paid holidays, personal days, and a year‑end shutdown. A paid six‑week sabbatical every six years notably expands long‑term time‑off flexibility.
Genentech Insights
What We Do
Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 40 years. Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal. Making a difference in the lives of millions starts when you make a change in yours.
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