The Opportunity
The Data Analyst role has significant hands-on experience developing predictive models and a strong track record in designing experiments, driving organizational measurement strategies, and building Machine Learning (ML) and Artificial Intelligence (AI) driven applications and products. The role will be responsible for and own the delivery of delivering predictive models to anticipate future skills needed across the organization to deliver on business outcomes, and to develop automated scalable approaches to connect the learning dataset with business and people data to demonstrate the connection to individual and organizational performance. This will include utilizing a large range of data sources (both structured and unstructured) as well as AI/ML algorithms to find patterns and automate the process of forecasting future skills needs. The Data Informatics Analyst candidate has a strong bias for action, is able to operate independently, and is a great communicator, innovator, and visionary.
Key Responsibilities:
Stakeholder Engagement & Strategic Implementation
Help stakeholders define clear, impactful business priorities, using expertise and existing analysis/research to influence and guide
Design measurement strategies for internal and external stakeholders on key enablement metrics
Take an enterprise mindset, linking individual responsibilities with broader organization
Act as a thought partner and advisor to all relevant teams and stakeholders
Openly share perspective and insights to elevate team thinking
Lead, act, and live our Operating Principles in all aspects of work
Data Science
Manage and guide data science and data engineering elements of AI/ML projects
Apply ML and applied statistics approaches to complex business, learning, and talent-related questions
Develop and train AI/machine learning models for high predictive accuracy
Identify and/or create useful datasets for further analysis
Data Infrastructure & Engineering
Define and enhance ETL pipeline processes for varied data types
Develop robust data infrastructure for multiple data sources
Coordinate data ingestion, storage, transformation, and visualization
Create automated scripts to enhance daily activities
Manage folder structures for storing and ingesting text and images
Set up data storage solutions for field certification data
Platform & Tools Development/Management
Build data visualization tools (e.g. dashboards) and UX/UI design
Evaluate and set up new data pipeline connections
Test and ensure smooth Workday API connection with data lake
Enable Dataiku features and create direct links to Tableau
Build data logic and tables for dashboards
Manage permissions to dashboards and associated data
Compliance & Best Practices
Enforce FAIR (Findable, Accessible, Interoperable, Reusable) practices
Comply with all laws, regulations, policies, and procedures
Collaborate with Oasis Infrastructure/compliance for data engineering support
Who you are:
Education & Core Experience
You have a Master's degree in relevant discipline (Data Science, Computer Science, Applied Mathematics, Statistics, Economics, Engineering)
You have 6+ years of data analytics, data management and/or data engineering experience in biotech/pharmaceutical industry or related
Technical Skills
Proficiency in programming languages (e.g., Python, R, SQL)
Experience with cloud-computing platforms (AWS, GCP)
Strong knowledge of learning record stores, business data, and HR systems
Expertise in ML applications (revenue attribution, text classification, clustering)
Proficiency with data visualization tools (Tableau, Qlik)
UX/UI design experience
Experience with version control platforms (GitHub, BitBucket)
AWS or cloud-based object storage
API integration experience
Data & Analytics Skills
Demonstrated proficiency in Applied Statistics and analytics
Experience with large complex datasets and statistical software
Strong knowledge of relational databases
Experience with data transformation engines
Proficiency in creating and executing cron jobs
Communication
Strong communication skills (verbal and written)
Experience as strategic thought partner
Proven project management and time-management abilities
Strong problem-solving and analytical skills
Initiative in process improvements
Experience in translating technical concepts for business audiences
Preferred Experience:
Alternative visualization tools (Spotfire, PowerBI, Rshiny)
Learning and training data management
Project management or business analysis
Effective public speaking
Success in customer-facing roles
Relocation benefits are NOT available for this job posting
The role is based out of our South San Francisco, CA Genentech campus; onsite presence is required.
The expected salary range for this position based on the primary location of South San Francisco, CA is $148,100/yr to $275,000. 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.
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.