Senior Data Analyst

Genentech • Daly City, CA

5d • Onsite

About The Position

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.

Requirements

• Master's degree in relevant discipline (Data Science, Computer Science, Applied Mathematics, Statistics, Economics, Engineering)
• 6+ years of data analytics, data management and/or data engineering experience in biotech/pharmaceutical industry or related
• 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
• 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
• 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

Nice To Haves

• Alternative visualization tools (Spotfire, PowerBI, Rshiny)
• Learning and training data management
• Project management or business analysis
• Effective public speaking
• Success in customer-facing roles

Responsibilities

• 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
• 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
• 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
• 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
• Enforce FAIR (Findable, Accessible, Interoperable, Reusable) practices
• Comply with all laws, regulations, policies, and procedures
• Collaborate with Oasis Infrastructure/compliance for data engineering support

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior