Senior Data Analyst

The PositionThe 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 ImplementationHelp stakeholders define clear, impactful business priorities, using expertise and existing analysis/research to influence and guideDesign measurement strategies for internal and external stakeholders on key enablement metricsTake an enterprise mindset, linking individual responsibilities with broader organizationAct as a thought partner and advisor to all relevant teams and stakeholdersOpenly share perspective and insights to elevate team thinkingLead, act, and live our Operating Principles in all aspects of workData ScienceManage and guide data science and data engineering elements of AI/ML projectsApply ML and applied statistics approaches to complex business, learning, and talent-related questionsDevelop and train AI/machine learning models for high predictive accuracyIdentify and/or create useful datasets for further analysisData Infrastructure & EngineeringDefine and enhance ETL pipeline processes for varied data typesDevelop robust data infrastructure for multiple data sourcesCoordinate data ingestion, storage, transformation, and visualizationCreate automated scripts to enhance daily activitiesManage folder structures for storing and ingesting text and imagesSet up data storage solutions for field certification dataPlatform & Tools Development/ManagementBuild data visualization tools (e.g. dashboards) and UX/UI designEvaluate and set up new data pipeline connections Test and ensure smooth Workday API connection with data lakeEnable Dataiku features and create direct links to TableauBuild data logic and tables for dashboardsManage permissions to dashboards and associated dataCompliance & Best PracticesEnforce FAIR (Findable, Accessible, Interoperable, Reusable) practicesComply with all laws, regulations, policies, and proceduresCollaborate with Oasis Infrastructure/compliance for data engineering supportWho you are: Education & Core ExperienceYou 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 SkillsProficiency 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 systemsExpertise in ML applications (revenue attribution, text classification, clustering)Proficiency with data visualization tools (Tableau, Qlik)UX/UI design experienceExperience with version control platforms (GitHub, BitBucket)AWS or cloud-based object storageAPI integration experienceData & Analytics SkillsDemonstrated proficiency in Applied Statistics and analyticsExperience with large complex datasets and statistical softwareStrong knowledge of relational databasesExperience with data transformation enginesProficiency in creating and executing cron jobsCommunicationStrong communication skills (verbal and written)Experience as strategic thought partnerProven project management and time-management abilitiesStrong problem-solving and analytical skillsInitiative in process improvementsExperience in translating technical concepts for business audiencesPreferred Experience:Alternative visualization tools (Spotfire, PowerBI, Rshiny)Learning and training data managementProject management or business analysisEffective public speakingSuccess in customer-facing rolesRelocation benefits are NOT available for this job postingThe 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.BenefitsGenentech 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.