Top Data & Analytics Jobs in San Francisco, CA
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As an Analyst in Customer Success Analytics at Grammarly, you will define and monitor key metrics, conduct root cause analysis, leverage data to improve customer success, and collaborate with cross-functional teams to enhance data infrastructure. Your role focuses on maximizing customer value, driving product adoption, and supporting revenue growth initiatives.
The Senior Workday Configuration Analyst will configure and maintain Workday modules, provide process improvement recommendations, oversee implementation projects, support system upgrades, troubleshoot issues, and create reports. They will ensure that configurations align with business objectives and facilitate user training.
As a Principal Data Engineer at Atlassian, you will be responsible for building data solutions that support crucial business decisions. Your role includes developing backend systems, designing data models, managing analytical data pipelines, and enabling a data-driven culture throughout the organization.
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The Scientist in Functional Genomics will lead high-throughput experimental projects aimed at discovering drug targets and biomarkers while collaborating with computational and AI/ML teams. Responsibilities include designing screenings, managing projects, and troubleshooting experimental challenges while sharing insights from data analysis.
The Senior Data Analyst will leverage data to drive strategic decision-making and contribute to organizational success. Responsibilities include collaborating with various teams, performing data analysis, developing dashboards and visualizations, monitoring product performance, and promoting a data-informed culture within the company.
As a Data Analytics Manager at Doximity, you will work with cross-functional teams to discover data insights and improve healthcare. Responsibilities include identifying behavioral patterns, leading data projects, and managing Data Analysts for growth and success.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
As Head of Data, you will lead and grow a team of Data Scientists, Engineers, and Analysts at Philo, working closely with various stakeholders to support data-driven decisions, build data models, run product experiments, and ensure efficient data processing across the organization.
The Senior Data Analyst will focus on quantifying compliance risks and driving efficiency within the Cash App Compliance Analytics team. Responsibilities include creating data strategies, developing SQL and Python queries, building databases and dashboards, providing insights on compliance topics, and maintaining knowledge of Cash App products and compliance requirements.
As a Data Scientist at Kikoff, you will leverage your analytical skills to drive product development by using data-driven insights. Your role includes shaping product goals, conducting rigorous analyses, and effectively communicating data stories to cross-functional teams to enhance customer financial security.
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