Top Data & Analytics Jobs in San Francisco Bay Area, CA
The Sr. Specialist, Business Intelligence Engineer will analyze and interpret data to aid Snap's decision-making. Responsibilities include building reports and dashboards, identifying performance trends, providing actionable insights for clients, and collaborating with teams to enhance product strategies and measurement approaches.
As a Data Engineer at Snap Inc, you'll develop scalable ETL pipelines, ensure data integrity and quality, implement data warehousing, and maintain data security practices. You will collaborate with various stakeholders to provide high-quality datasets and support data governance initiatives.
The Director of Data Science at Snap Inc will lead a team of data scientists to drive revenue growth through advanced analytics. Responsibilities include building machine learning models, improving data governance, and delivering actionable insights to senior executives. The role focuses on solving complex business questions and enhancing customer engagement using data-driven strategies.
The Director of Data Science will lead a team to enhance ad performance understanding, measure ROI, and analyze audience behavior. This role involves building machine learning models, managing analytics projects, and driving data-driven insights for senior executives to improve business outcomes.
As a Group Analyst at Snap Inc., you will analyze data to assist leadership in making informed decisions, optimize advertising campaigns, and provide actionable insights. You will collaborate with Sales and Product teams to enhance campaign performance and identify industry trends while creating reports and dashboards.
The Sr. Data Scientist will leverage quantitative analysis and statistical modeling to derive actionable insights for product optimization. Responsibilities include collaboration with cross-functional teams, conducting machine learning analyses, and driving data-informed decision-making processes within Snap's product teams.
The Senior Data Scientist will leverage quantitative analysis, data mining, and statistical modeling to provide actionable data insights that influence product decisions. They will drive project completion with minimal guidance, collaborate across teams, and communicate findings effectively to optimize product performance and identify new opportunities.
The Senior Workday Configuration Analyst will configure and maintain Workday modules such as Core HCM, Compensation, Absence, and Benefits, improve processes, lead implementations and upgrades, translate business needs into technical requirements, and support production issues while creating advanced reports.
As a Machine Learning Engineer at Snap Inc, you will create models that enhance user experience, evaluate technical trade-offs, perform code reviews for quality assurance, and build scalable products while prioritizing swift iteration.
As a Machine Learning Engineer at Snap Inc, you'll create models to drive value, evaluate technical decisions, and ensure high code quality while building scalable products and mentoring others.
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