Data Analytics Specialist Jobs in San Francisco, CA
Data Analytics Specialist jobs in San Francisco are in strong demand, concentrated in the Financial District, SoMa, and Mission Bay across fintech, tech platforms, and healthcare. Employers hiring right now include Amazon Web Services, Genentech, and Meta. Find a role that fits below and apply directly.
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The Position
The Opportunity
The Senior Manager, Data Analytics - Therapeutic Area Analytics & Insights Senior Manager, Immunology in Data, Analytics, and AI is a strategic advisor to key stakeholders and an integral contributor to Genentech’s Commercial, Medical, and Government Affairs (CMG) planning efforts. This individual is responsible for developing or supporting the delivery of actionable insights and strategic recommendations to inform timely and critical business decisions across therapeutic areas, ecosystems, and/or business domains. This role involves collaborating with stakeholders to understand business needs, conducting targeted analyses to uncover tailored insights, and synthesizing findings into strategic options aligned with organizational goals. Work will guide decisions that affect in-line, pipeline, and/or business development assets. As an Individual Contributor, this individual is responsible for providing strategic recommendations with moderate guidance / supervision, leveraging their capabilities. The Senior Manager works flexibly within a matrix structure, sensing business priorities and reprioritizing work to meet organizational objectives. responsible for delivering tailored, high-impact insights that address complex business questions and align with Genentech’s strategic priorities.
The Senior Manager plays a critical role in integrating analytics products into workflows, promoting a product-first culture, and driving continuous improvement through best practice sharing and automation.
Key Responsibilities
- Collaborate with stakeholders to deeply understand business needs, key questions, and priorities, and ensure alignment with project objectives and analytic lead direction.
- Perform custom analyses by applying appropriate analytic techniques to address business challenges.
- Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business and patient value.
- Contribute to continuous organizational improvement by sharing best practices, identifying opportunities for automation, and enhancing the efficiency and impact of analytics and insights workflows.
- Play an active role in the adoption of analytical products by staying up to date on the product roadmap, participating in training, user testing (as needed), and providing constructive feedback to ensure products are integrated into workflows. Embed and integrate products into workflows and foster DDA’s product-first culture.
- Effectively interact with and guide offshore teams to ensure alignment with project objectives and maintain high-quality deliverables.
- Advise stakeholders to define clear, impactful business priorities, and develop action plans. Develop strategic options and recommendations by synthesizing findings, connecting insights across therapeutic areas, ecosystems, or analytic domains, and aligning them with organizational goals.
- Demonstrate proficiency in tailoring communication to specific audiences, communicating and influencing senior leaders and simplifying details for stakeholder buy-in
- Autonomously operate and manage all stakeholders (with limited manager guidance received through pro-active upward management.)
- Contribute to and/or lead the community of practice by facilitating discussions, mentoring peers, and fostering a collaborative environment that encourages innovation and professional growth.
- Quickly adapt to evolving priorities by working flexibly one or more of these capabilities / expertise areas to address business needs and deliver impactful insights and analytics:
- Market Research: Conduct qualitative and quantitative research with patients, caregivers, healthcare providers, and other stakeholders in the healthcare ecosystem to assess and improve the patient experience.
- Competitive Intelligence: Monitor and track the competitive landscape, assess competitive threats, and gather intelligence from key national and regional medical conferences to inform strategy and positioning.
- Data Analytics: Analyze secondary and structured datasets to surface actionable insights that benefit customers and patients.
- Access: Apply expertise in managed care to assess the impact of payer management, coverage, coding, pricing, contracting, and other reimbursement drivers, and work to remove barriers to Genentech therapies while improving the overall customer experience. Lead Immunology Market Access insights and analytics to shape access strategy for upcoming launches
- Comply with all laws, regulations and policies that govern the conduct of Genentech activities.
Who You Are
- You have a Bachelor's Degree.
- You have 5 years of relevant work experience (or equivalent with advanced education)
- You have a Growth Mindset.
- Experience synthesizing concise summaries focused on the key insights that inform business decisions.
- Comfortable dealing with uncertainty in a highly-matrixed organization.
- Strong results orientation and adaptability in a fast-paced environment.
- Persuasive written and verbal communication skills.
Preferred Qualifications
- Degree in Business, Economics, Engineering, Statistics, Life Sciences, Mathematics, Computer or Physical Sciences or related field.
- MBA or Graduate-level Degree.
- Proven track record of leadership, time-management, project management, and teamwork.
- Demonstrated experience in one or more of the following domains:
Market Research
- Expertise in designing and fielding qualitative and quantitative primary market research plans.
- Experience synthesizing concise summaries focused on the key insights that inform business decisions.
- Proficiency in understanding market landscape and surfacing insights across multiple primary data sources.
Data Analytics
- Experience working with analytical tools is required (e.g., Python, R, and SQL).
- Working knowledge of secondary data sources including syndicated sales, promotional and marketing data, longitudinal patient level data; experience with payer data is preferred.
- Experience with statistical modeling, analysis, and presentation of results to a non-technical audience.
Location
- This role is based in South San Francisco and offers a hybrid schedule working 3 days per week on campus.
- Relocation benefits are NOT offered on this posting
The expected salary range for this position based on the primary location of South San Francisco, CA is $153,600/yr to $285,200/yr. 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
#LI-CM4
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.
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Find JobsData Analytics Specialist Job Market in San Francisco
Who's Hiring
- Amazon Web Services23

- Genentech15

- Meta8

- SIFT8

- Gusto8

Top Industries Hiring
- Technology & Software
Data Analytics Specialist Jobs in San Francisco: Frequently Asked Questions
How do I get a data analytics specialist job in San Francisco?
San Francisco's strongest hiring comes from fintech firms in the Financial District, health tech companies in Mission Bay, and enterprise software platforms in SoMa. Candidates who stand out combine proficiency in SQL and Python with experience in business intelligence tools like Tableau or Looker. Familiarity with cloud data environments and A/B testing gives you a clear edge in this market over generalist applicants.
Which companies hire data analytics specialists in San Francisco?
Employers hiring data analytics specialists in San Francisco right now include Amazon Web Services, Genentech, and Meta, based on current listings on Migrate Mate as of November 2026. San Francisco draws a mix of large tech platforms, early-stage startups, and established financial services firms, all of which maintain dedicated analytics functions.
Are there remote data analytics specialist jobs in San Francisco?
Yes, data analytics specialist work is well-suited to remote arrangements given that the core tasks involve querying data, building dashboards, and presenting findings digitally. About 78% of data analytics specialist openings tied to San Francisco are remote or hybrid as of November 2026, reflecting how broadly tech and fintech employers in the city have adopted flexible work policies. Roles focused on reporting and modeling tend to be the most remote-friendly.
How can I get a data analytics specialist job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is through analyst or data coordinator roles at mid-size SoMa startups and health tech companies in Mission Bay, both of which regularly hire candidates without deep experience. Building a portfolio of projects using public datasets and demonstrating fluency in SQL and Tableau makes a concrete impression. Local bootcamp graduates and candidates with strong internship work at Bay Area companies move up quickly in this market.
Which industries hire the most data analytics specialists in San Francisco?
San Francisco data analytics specialist roles concentrate in Technology & Software, based on current listings on Migrate Mate as of November 2026. San Francisco's dense concentration of fintech headquarters, enterprise software companies, and digital health platforms creates consistent demand for analysts who can translate data into product and business decisions.
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