Top Analytics Jobs in San Francisco, CA
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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As a Staff Data Scientist on the Dashboard Analytics team, you will leverage data engineering, business intelligence, and machine learning to drive data-driven decision-making and optimize seller experiences. You will collaborate with cross-functional teams, define key metrics, and communicate insights to inform strategic initiatives.
As a Decision Analytics Associate Consultant at ZS, you will develop and apply advanced statistical models, leverage analytic techniques, design custom analyses, synthesize results, and manage client relationships. You will also mentor Associates and improve problem-solving skills within the team.
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The Data Architect Manager at PwC will design and develop robust data solutions, transform raw data into actionable insights, and lead projects in data engineering. Responsibilities include developing data pipelines, mentoring team members, collaborating on data strategies, and ensuring compliance with data governance policies.
As a Senior Associate in Clinical Data Sciences, you will oversee clinical data management for trials, ensuring data integrity and compliance. Responsibilities include database design, data review, query management, and collaboration with clinical teams for effective data handling and reporting.
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.
You will lead growth data science efforts to enhance user growth, collaborate with marketing and product teams, analyze customer behavior, design experiments, and create reporting dashboards to track marketing effectiveness.
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 Credit Analyst, you will underwrite and process auto loan applications, focusing on credit worthiness and risk mitigation. You will negotiate with auto dealerships, resolve loan issues, and ensure compliance with lending policies while keeping up with industry trends.
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